From c7a27b9b43c31ae08bc222f72c5ad4c7c856fadb Mon Sep 17 00:00:00 2001 From: Joris Van den Bossche Date: Sun, 4 Oct 2020 20:26:24 +0200 Subject: [PATCH] Update exercise metadata --- _solved/01-introduction-tabular-data.ipynb | 1051 ++++++++++++-- _solved/02-introduction-geospatial-data.ipynb | 982 +++++++++++-- _solved/03-coordinate-reference-systems.ipynb | 228 ++- _solved/04-spatial-relationships-joins.ipynb | 68 +- _solved/05-spatial-operations-overlays.ipynb | 753 ++++++++-- _solved/case-curieuzeneuzen-air-quality.ipynb | 1278 +++++++++++++---- 6 files changed, 3553 insertions(+), 807 deletions(-) diff --git a/_solved/01-introduction-tabular-data.ipynb b/_solved/01-introduction-tabular-data.ipynb index 67fb546..f22f0f9 100644 --- a/_solved/01-introduction-tabular-data.ipynb +++ b/_solved/01-introduction-tabular-data.ipynb @@ -2,7 +2,10 @@ "cells": [ { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "

Introduction to working with pandas and tabular data

\n", "\n", @@ -17,14 +20,20 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "## Working with tabular data using Pandas" ] }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "To load the pandas package and start working with it, we first import the package. The community agreed alias for pandas is `pd`, which we will also use here:" ] @@ -32,7 +41,10 @@ { "cell_type": "code", "execution_count": 1, - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "import pandas as pd" @@ -40,7 +52,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "Let's start with importing some actual data. Pandas provides functions for many different formats, but here we will read a simple CSV file with information about the countries of the world:" ] @@ -48,7 +63,10 @@ { "cell_type": "code", "execution_count": 2, - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "countries = pd.read_csv(\"data/countries.csv\")" @@ -57,7 +75,14 @@ { "cell_type": "code", "execution_count": 3, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -209,7 +234,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "The object created here is a **DataFrame**:" ] @@ -217,7 +245,14 @@ { "cell_type": "code", "execution_count": 4, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -236,7 +271,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "A `DataFrame` is a 2-dimensional, **tablular data structure** comprised of rows and columns. It is similar to a spreadsheet, a database (SQL) table or the data.frame in R.\n", "\n", @@ -245,7 +283,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "A DataFrame can store data of different types (including characters, integers, floating point values, categorical data and more) in columns. In pandas, we can check the data types of the columns with the `dtypes` attribute:" ] @@ -253,7 +294,14 @@ { "cell_type": "code", "execution_count": 5, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -277,7 +325,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "### Each column in a `DataFrame` is a `Series`\n", "\n", @@ -289,7 +340,14 @@ { "cell_type": "code", "execution_count": 6, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -320,7 +378,14 @@ { "cell_type": "code", "execution_count": 7, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -340,7 +405,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "### Pandas objects have attributes and methods\n", "\n", @@ -353,6 +421,12 @@ "cell_type": "code", "execution_count": 8, "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + }, "run_control": { "frozen": false, "read_only": false @@ -454,6 +528,12 @@ "cell_type": "code", "execution_count": 9, "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + }, "run_control": { "frozen": false, "read_only": false @@ -553,7 +633,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "The ``describe`` method computes summary statistics for each column:" ] @@ -562,6 +645,12 @@ "cell_type": "code", "execution_count": 10, "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + }, "run_control": { "frozen": false, "read_only": false @@ -593,7 +682,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "**Sort**ing your data **by** a specific column is another important first-check:" ] @@ -602,6 +694,12 @@ "cell_type": "code", "execution_count": 11, "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + }, "run_control": { "frozen": false, "read_only": false @@ -758,21 +856,30 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "## Basic operations on Series and DataFrames" ] }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "### Elementwise-operations " ] }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "The typical arithmetic (+, -, \\*, /) and comparison (==, >, <, ...) operations work *element-wise*.\n", "\n", @@ -782,7 +889,14 @@ { "cell_type": "code", "execution_count": 12, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -809,6 +923,12 @@ "cell_type": "code", "execution_count": 13, "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + }, "run_control": { "frozen": false, "read_only": false @@ -838,7 +958,14 @@ { "cell_type": "code", "execution_count": 14, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -862,7 +989,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "With two Series objects:" ] @@ -870,7 +1000,14 @@ { "cell_type": "code", "execution_count": 15, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -900,21 +1037,30 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "### Aggregations (reductions)" ] }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "Pandas provides a large set of **summary** functions that operate on different kinds of pandas objects (DataFrames, Series, Index) and produce single value. When applied to a DataFrame, the result is returned as a pandas Series (one value for each column). " ] }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "The average population number:" ] @@ -923,6 +1069,12 @@ "cell_type": "code", "execution_count": 16, "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + }, "run_control": { "frozen": false, "read_only": false @@ -946,7 +1098,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "The maximum GDP:" ] @@ -955,6 +1110,12 @@ "cell_type": "code", "execution_count": 17, "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + }, "run_control": { "frozen": false, "read_only": false @@ -978,7 +1139,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "For dataframes, only the numeric columns are included in the result:" ] @@ -987,6 +1151,12 @@ "cell_type": "code", "execution_count": 18, "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + }, "run_control": { "frozen": false, "read_only": false @@ -1012,7 +1182,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "### Adding new columns\n", "\n", @@ -1024,7 +1197,10 @@ { "cell_type": "code", "execution_count": 19, - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "countries['gdp_capita'] = countries['gdp_md_est'] / countries['pop_est']" @@ -1033,7 +1209,14 @@ { "cell_type": "code", "execution_count": 20, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -1141,21 +1324,30 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "## Indexing: selecting a subset of the data" ] }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "### Subset variables (columns)" ] }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "For a DataFrame, basic indexing selects the columns (cfr. the dictionaries of pure python)\n", "\n", @@ -1166,6 +1358,12 @@ "cell_type": "code", "execution_count": 21, "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + }, "run_control": { "frozen": false, "read_only": false @@ -1200,7 +1398,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "Remember that the same syntax can also be used to *add* a new columns: `df['new'] = ...`.\n", "\n", @@ -1211,6 +1412,12 @@ "cell_type": "code", "execution_count": 22, "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + }, "run_control": { "frozen": false, "read_only": false @@ -1331,21 +1538,30 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "### Subset observations (rows)" ] }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "Using `[]`, slicing or boolean indexing accesses the **rows**:" ] }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "### Slicing" ] @@ -1353,7 +1569,14 @@ { "cell_type": "code", "execution_count": 23, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -1444,14 +1667,20 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "### Boolean indexing (filtering)" ] }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "Often, you want to select rows based on a certain condition. This can be done with *'boolean indexing'* (like a where clause in SQL). \n", "\n", @@ -1461,7 +1690,14 @@ { "cell_type": "code", "execution_count": 24, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -1573,6 +1809,12 @@ "cell_type": "code", "execution_count": 25, "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + }, "run_control": { "frozen": false, "read_only": false @@ -1603,7 +1845,14 @@ { "cell_type": "code", "execution_count": 26, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -1690,7 +1939,14 @@ { "cell_type": "code", "execution_count": 27, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -1777,7 +2033,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "With the full dataset:" ] @@ -1785,7 +2044,14 @@ { "cell_type": "code", "execution_count": 28, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -1872,7 +2138,14 @@ { "cell_type": "code", "execution_count": 29, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -1993,7 +2266,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "An overview of the possible comparison operations:\n", "\n", @@ -2016,7 +2292,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "
\n", "REMEMBER:

\n", @@ -2032,7 +2311,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "## Let's practice! (part I)\n", "\n", @@ -2046,7 +2328,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "
\n", "\n", @@ -2068,7 +2353,11 @@ { "cell_type": "code", "execution_count": 30, - "metadata": {}, + "metadata": { + "clear_cell": true, + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "districts = pd.read_csv(\"data/paris_districts.csv\")" @@ -2077,7 +2366,15 @@ { "cell_type": "code", "execution_count": 31, - "metadata": {}, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -2230,7 +2527,15 @@ { "cell_type": "code", "execution_count": 32, - "metadata": {}, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -2325,7 +2630,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "
\n", "\n", @@ -2348,7 +2656,15 @@ { "cell_type": "code", "execution_count": 33, - "metadata": {}, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -2379,7 +2695,15 @@ { "cell_type": "code", "execution_count": 34, - "metadata": {}, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -2399,7 +2723,15 @@ { "cell_type": "code", "execution_count": 35, - "metadata": {}, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -2418,7 +2750,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "
\n", "\n", @@ -2443,7 +2778,15 @@ { "cell_type": "code", "execution_count": 36, - "metadata": {}, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -2463,7 +2806,15 @@ { "cell_type": "code", "execution_count": 37, - "metadata": {}, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -2483,7 +2834,15 @@ { "cell_type": "code", "execution_count": 38, - "metadata": {}, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -2513,7 +2872,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "
\n", "\n", @@ -2535,7 +2897,15 @@ { "cell_type": "code", "execution_count": 39, - "metadata": {}, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -2567,7 +2937,15 @@ { "cell_type": "code", "execution_count": 40, - "metadata": {}, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -2586,7 +2964,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "
\n", "\n", @@ -2607,7 +2988,15 @@ { "cell_type": "code", "execution_count": 41, - "metadata": {}, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -2716,7 +3105,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "
\n", "\n", @@ -2738,7 +3130,15 @@ { "cell_type": "code", "execution_count": 42, - "metadata": {}, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -2915,7 +3315,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "
\n", "\n", @@ -2930,7 +3333,15 @@ { "cell_type": "code", "execution_count": 43, - "metadata": {}, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -3029,7 +3440,15 @@ { "cell_type": "code", "execution_count": 44, - "metadata": {}, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -3048,7 +3467,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "
\n", "\n", @@ -3062,7 +3484,15 @@ { "cell_type": "code", "execution_count": 45, - "metadata": {}, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -3236,7 +3666,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "
\n", "\n", @@ -3257,7 +3690,15 @@ { "cell_type": "code", "execution_count": 46, - "metadata": {}, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -3278,7 +3719,15 @@ { "cell_type": "code", "execution_count": 47, - "metadata": {}, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -3298,7 +3747,15 @@ { "cell_type": "code", "execution_count": 48, - "metadata": {}, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -3317,14 +3774,20 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "## Plotting: visual exploration of data" ] }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "The **`plot`** method can be used to quickly visualize the data in different ways:" ] @@ -3333,6 +3796,12 @@ "cell_type": "code", "execution_count": 49, "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + }, "run_control": { "frozen": false, "read_only": false @@ -3368,7 +3837,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "The default is a *line* plot. However, for this dataset, that's a not very useful plot type. With the `kind` keyword, you can specify other plot types:" ] @@ -3377,6 +3849,12 @@ "cell_type": "code", "execution_count": 50, "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + }, "run_control": { "frozen": false, "read_only": false @@ -3412,14 +3890,20 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "This is still not the best plot, but now you can see this is due to a few countries with a very large population." ] }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "### A `matplotlib` primer\n", "\n", @@ -3434,7 +3918,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "Matplotlib comes with a convenience sub-package called ``pyplot`` which, for consistency with the wider matplotlib community, should always be imported as ``plt``:" ] @@ -3442,7 +3929,10 @@ { "cell_type": "code", "execution_count": 51, - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "import matplotlib.pyplot as plt" @@ -3450,7 +3940,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "The object returned by the pandas `plot()` method is called an **Axes**" ] @@ -3458,7 +3951,14 @@ { "cell_type": "code", "execution_count": 52, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -3480,7 +3980,14 @@ { "cell_type": "code", "execution_count": 53, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -3499,7 +4006,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "The Axes represents the \"data space\" of a typical plot: where data is being plotted, and typically having an x and y *axis*. The Axes is part of a **Figure** (in the above, the Figure has one Axes, or subplot, but you can also create a Figure with multiple Axes or subplots). \n", "\n", @@ -3509,7 +4019,14 @@ { "cell_type": "code", "execution_count": 54, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -3530,7 +4047,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "and then specify the Axes to plot on with pandas:" ] @@ -3538,7 +4058,14 @@ { "cell_type": "code", "execution_count": 55, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -3570,7 +4097,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "The Axes object can then be used for further customization:" ] @@ -3578,7 +4108,14 @@ { "cell_type": "code", "execution_count": 56, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -3613,7 +4150,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "An example of another package built on top of matplotlib is **`seaborn`** (https://seaborn.pydata.org/). It provides a high-level interface for a set of statistical graphics.\n", "\n", @@ -3623,7 +4163,10 @@ { "cell_type": "code", "execution_count": 57, - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "import seaborn" @@ -3632,7 +4175,14 @@ { "cell_type": "code", "execution_count": 58, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -3664,14 +4214,20 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "This is only an ultra short intro to matplotlib. In the course materials, you can find another notebook with some more details ([visualization_01_matplotlib.ipynb](visualization_01_matplotlib.ipynb#An-small-cheat-sheet-reference-for-some-common-elements))." ] }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "
\n", "\n", @@ -3688,7 +4244,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "## Aggregating statistics grouped by category\n", "\n", @@ -3697,7 +4256,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "Assume we want to know the total population number of a certain continent. Using the boolean indexing and aggregation we learned above, we can do:" ] @@ -3705,7 +4267,10 @@ { "cell_type": "code", "execution_count": 59, - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "africa = countries[countries['continent'] == \"Africa\"]" @@ -3714,7 +4279,14 @@ { "cell_type": "code", "execution_count": 60, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -3733,7 +4305,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "To calculate this for all continents, we could repeat the above for each continent. However, this quickly becomes tedious, and can directly be performed by pandas:" ] @@ -3741,7 +4316,14 @@ { "cell_type": "code", "execution_count": 61, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -3767,7 +4349,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "Calculating a given statistic (e.g. sum of the population) for each category in a column (e.g. the different continents) is a common pattern. The `groupby()` method is used to support this type of operations. More general, this fits in the more general split-apply-combine pattern:\n", "\n", @@ -3781,7 +4366,14 @@ { "cell_type": "code", "execution_count": 62, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -3812,7 +4404,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "## Let's practice! (part II)" ] @@ -3820,7 +4415,10 @@ { "cell_type": "code", "execution_count": 63, - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "districts = pd.read_csv(\"data/paris_districts.csv\")\n", @@ -3830,7 +4428,14 @@ { "cell_type": "code", "execution_count": 64, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -3926,7 +4531,14 @@ { "cell_type": "code", "execution_count": 65, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -4034,7 +4646,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "
\n", "EXERCISE:\n", @@ -4049,6 +4664,12 @@ "execution_count": 66, "metadata": { "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + }, "run_control": { "frozen": false, "read_only": false @@ -4084,7 +4705,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "
\n", "\n", @@ -4100,6 +4724,12 @@ "execution_count": 67, "metadata": { "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + }, "run_control": { "frozen": false, "read_only": false @@ -4144,7 +4774,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "
\n", "\n", @@ -4158,12 +4791,20 @@ { "cell_type": "code", "execution_count": 68, - "metadata": {}, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 68, @@ -4192,7 +4833,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "
\n", "\n", @@ -4206,7 +4850,11 @@ { "cell_type": "code", "execution_count": 69, - "metadata": {}, + "metadata": { + "clear_cell": true, + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "import seaborn" @@ -4215,7 +4863,15 @@ { "cell_type": "code", "execution_count": 70, - "metadata": {}, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -4246,7 +4902,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "## Other useful things to know!\n", "\n", @@ -4255,14 +4914,20 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "### Counting values" ] }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "Do you want to know what the unique values are of a column, and how many times each value occurs? Use the `value_counts()` method:" ] @@ -4270,7 +4935,14 @@ { "cell_type": "code", "execution_count": 71, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -4295,14 +4967,20 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "### Selecting a specific value of the DataFrame" ] }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "To access a specific value of a DataFrame, we can use the `.loc` method passing the (row label, column name):" ] @@ -4310,7 +4988,14 @@ { "cell_type": "code", "execution_count": 72, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -4329,14 +5014,20 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "### Merging two dataframes" ] }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "Pandas provides several ways to combine different DataFrames. If there is a common column on which you want to match both DataFrames, we can use the `pd.merge()` function: " ] @@ -4344,7 +5035,10 @@ { "cell_type": "code", "execution_count": 73, - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "cities = pd.read_csv(\"data/cities.csv\")" @@ -4353,7 +5047,14 @@ { "cell_type": "code", "execution_count": 74, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -4449,7 +5150,14 @@ { "cell_type": "code", "execution_count": 75, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -4557,7 +5265,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "Both DataFrames have the `'iso_a3'` column with a 3-character code of the country. Based on this, we can add information about the country to the cities dataset: " ] @@ -4565,7 +5276,14 @@ { "cell_type": "code", "execution_count": 76, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -4790,7 +5508,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "## Towards geospatial data\n", "\n", @@ -4802,7 +5523,14 @@ { "cell_type": "code", "execution_count": 77, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -4897,7 +5625,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "Which allows us to, for example, plot the locations manually:" ] @@ -4905,7 +5636,14 @@ { "cell_type": "code", "execution_count": 78, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -4936,7 +5674,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "However, this doesn't enable to *easily* work with those locations and do spatial analyses on them. For that, we are going to introduce a new package: **`geopandas`**.\n", "\n", @@ -4946,7 +5687,10 @@ { "cell_type": "code", "execution_count": 79, - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "import geopandas" @@ -4955,7 +5699,10 @@ { "cell_type": "code", "execution_count": 80, - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "cities_geo = geopandas.GeoDataFrame(cities, geometry=geopandas.points_from_xy(cities[\"longitude\"], cities[\"latitude\"]))" @@ -4964,7 +5711,14 @@ { "cell_type": "code", "execution_count": 81, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -5141,7 +5895,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "Now, we have a single column with the location information (the \"geometry\" column). This is the topic of the next notebook." ] @@ -5149,12 +5906,16 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "outputs": [], "source": [] } ], "metadata": { + "celltoolbar": "Nbtutor - export exercises", "kernelspec": { "display_name": "Python 3", "language": "python", diff --git a/_solved/02-introduction-geospatial-data.ipynb b/_solved/02-introduction-geospatial-data.ipynb index 4cd386a..4f2d192 100644 --- a/_solved/02-introduction-geospatial-data.ipynb +++ b/_solved/02-introduction-geospatial-data.ipynb @@ -2,7 +2,10 @@ "cells": [ { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "# Introduction to geospatial vector data in Python" ] @@ -10,7 +13,10 @@ { "cell_type": "code", "execution_count": 1, - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "%matplotlib inline\n", @@ -21,14 +27,20 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "## Importing geospatial data" ] }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "Geospatial data is often available from specific GIS file formats or data stores, like ESRI shapefiles, GeoJSON files, geopackage files, PostGIS (PostgreSQL) database, ...\n", "\n", @@ -39,8 +51,11 @@ }, { "cell_type": "code", - "execution_count": 1, - "metadata": {}, + "execution_count": 2, + "metadata": { + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "countries = geopandas.read_file(\"zip://./data/ne_110m_admin_0_countries.zip\")\n", @@ -50,8 +65,15 @@ }, { "cell_type": "code", - "execution_count": 2, - "metadata": {}, + "execution_count": 3, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -148,7 +170,7 @@ "4 MULTIPOLYGON (((-66.95992 -54.89681, -67.56244... " ] }, - "execution_count": 2, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } @@ -159,8 +181,15 @@ }, { "cell_type": "code", - "execution_count": 3, - "metadata": {}, + "execution_count": 4, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -168,7 +197,7 @@ "" ] }, - "execution_count": 3, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" }, @@ -191,7 +220,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "What can we observe:\n", "\n", @@ -202,7 +234,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "## What's a GeoDataFrame?\n", "\n", @@ -211,8 +246,15 @@ }, { "cell_type": "code", - "execution_count": 4, - "metadata": {}, + "execution_count": 5, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -220,7 +262,7 @@ "geopandas.geodataframe.GeoDataFrame" ] }, - "execution_count": 4, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -231,7 +273,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "A GeoDataFrame contains a tabular, geospatial dataset:\n", "\n", @@ -246,8 +291,15 @@ }, { "cell_type": "code", - "execution_count": 5, - "metadata": {}, + "execution_count": 6, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -266,7 +318,7 @@ "Name: geometry, Length: 177, dtype: geometry" ] }, - "execution_count": 5, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } @@ -277,8 +329,15 @@ }, { "cell_type": "code", - "execution_count": 6, - "metadata": {}, + "execution_count": 7, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -286,7 +345,7 @@ "geopandas.geoseries.GeoSeries" ] }, - "execution_count": 6, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } @@ -297,14 +356,21 @@ }, { "cell_type": "code", - "execution_count": 7, - "metadata": {}, + "execution_count": 8, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - ":1: UserWarning: Geometry is in a geographic CRS. Results from 'area' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", + ":1: UserWarning: Geometry is in a geographic CRS. Results from 'area' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", "\n", " countries.geometry.area\n" ] @@ -326,7 +392,7 @@ "Length: 177, dtype: float64" ] }, - "execution_count": 7, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -337,7 +403,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "**It's still a DataFrame**, so we have all the pandas functionality available to use on the geospatial dataset, and to do data manipulations with the attributes and geometry information together.\n", "\n", @@ -346,8 +415,15 @@ }, { "cell_type": "code", - "execution_count": 8, - "metadata": {}, + "execution_count": 9, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -355,7 +431,7 @@ "41712369.84180791" ] }, - "execution_count": 8, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } @@ -366,15 +442,21 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "Or, we can use boolean filtering to select a subset of the dataframe based on a condition:" ] }, { "cell_type": "code", - "execution_count": 9, - "metadata": {}, + "execution_count": 10, + "metadata": { + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "africa = countries[countries['continent'] == 'Africa']" @@ -382,8 +464,15 @@ }, { "cell_type": "code", - "execution_count": 10, - "metadata": {}, + "execution_count": 11, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -391,7 +480,7 @@ "" ] }, - "execution_count": 10, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" }, @@ -414,7 +503,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "
\n", "\n", @@ -430,7 +522,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "## Geometries: Points, Linestrings and Polygons\n", "\n", @@ -447,15 +542,25 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "For the example we have seen up to now, the individual geometry objects are Polygons:" ] }, { "cell_type": "code", - "execution_count": 11, - "metadata": {}, + "execution_count": 12, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "name": "stdout", @@ -471,7 +576,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "Let's import some other datasets with different types of geometry objects.\n", "\n", @@ -480,8 +588,11 @@ }, { "cell_type": "code", - "execution_count": 12, - "metadata": {}, + "execution_count": 13, + "metadata": { + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "cities = geopandas.read_file(\"zip://./data/ne_110m_populated_places.zip\")" @@ -489,8 +600,15 @@ }, { "cell_type": "code", - "execution_count": 13, - "metadata": {}, + "execution_count": 14, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "name": "stdout", @@ -506,15 +624,21 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "And a dataset of rivers in the world (from http://www.naturalearthdata.com/downloads/50m-physical-vectors/50m-rivers-lake-centerlines/, zip file is available in the `/data` directory) where each river is a (multi-)line:" ] }, { "cell_type": "code", - "execution_count": 14, - "metadata": {}, + "execution_count": 15, + "metadata": { + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "rivers = geopandas.read_file(\"zip://./data/ne_50m_rivers_lake_centerlines.zip\")" @@ -522,8 +646,15 @@ }, { "cell_type": "code", - "execution_count": 15, - "metadata": {}, + "execution_count": 16, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "name": "stdout", @@ -539,7 +670,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "### The `shapely` library\n", "\n", @@ -548,8 +682,15 @@ }, { "cell_type": "code", - "execution_count": 16, - "metadata": {}, + "execution_count": 17, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -557,7 +698,7 @@ "shapely.geometry.polygon.Polygon" ] }, - "execution_count": 16, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } @@ -568,15 +709,21 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "To construct one ourselves:" ] }, { "cell_type": "code", - "execution_count": 17, - "metadata": {}, + "execution_count": 18, + "metadata": { + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "from shapely.geometry import Point, Polygon, LineString" @@ -584,8 +731,11 @@ }, { "cell_type": "code", - "execution_count": 18, - "metadata": {}, + "execution_count": 19, + "metadata": { + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "p = Point(0, 0)" @@ -593,8 +743,15 @@ }, { "cell_type": "code", - "execution_count": 19, - "metadata": {}, + "execution_count": 20, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "name": "stdout", @@ -610,8 +767,11 @@ }, { "cell_type": "code", - "execution_count": 20, - "metadata": {}, + "execution_count": 21, + "metadata": { + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "polygon = Polygon([(1, 1), (2,2), (2, 1)])" @@ -619,8 +779,15 @@ }, { "cell_type": "code", - "execution_count": 21, - "metadata": {}, + "execution_count": 22, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -628,7 +795,7 @@ "0.5" ] }, - "execution_count": 21, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" } @@ -639,8 +806,15 @@ }, { "cell_type": "code", - "execution_count": 22, - "metadata": {}, + "execution_count": 23, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -648,7 +822,7 @@ "1.4142135623730951" ] }, - "execution_count": 22, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" } @@ -659,7 +833,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "
\n", "\n", @@ -677,15 +854,25 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "## Plotting our different layers together" ] }, { "cell_type": "code", - "execution_count": 23, - "metadata": {}, + "execution_count": 24, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -693,7 +880,7 @@ "[(-20.0, 60.0), (-40.0, 40.0)]" ] }, - "execution_count": 23, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" }, @@ -719,14 +906,20 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "See the [04-more-on-visualization.ipynb](04-more-on-visualization.ipynb) notebook for more details on visualizing geospatial datasets." ] }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "## Let's practice!\n", "\n", @@ -744,7 +937,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "
\n", "\n", @@ -769,9 +965,11 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 25, "metadata": { - "clear_cell": true + "clear_cell": true, + "deletable": true, + "editable": true }, "outputs": [], "source": [ @@ -780,9 +978,15 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 26, "metadata": { - "clear_cell": true + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [ { @@ -791,7 +995,7 @@ "geopandas.geodataframe.GeoDataFrame" ] }, - "execution_count": 25, + "execution_count": 26, "metadata": {}, "output_type": "execute_result" } @@ -802,9 +1006,15 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 27, "metadata": { - "clear_cell": true + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [ { @@ -890,7 +1100,7 @@ "4 POINT (270594.689 6248007.705) " ] }, - "execution_count": 26, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" } @@ -901,9 +1111,15 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 28, "metadata": { - "clear_cell": true + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [ { @@ -912,7 +1128,7 @@ "(1226, 4)" ] }, - "execution_count": 27, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" } @@ -923,7 +1139,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "
\n", "\n", @@ -937,9 +1156,15 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 29, "metadata": { - "clear_cell": true + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [ { @@ -948,7 +1173,7 @@ "" ] }, - "execution_count": 28, + "execution_count": 29, "metadata": {}, "output_type": "execute_result" }, @@ -971,7 +1196,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "A plot with just some points can be hard to interpret without any spatial context. Therefore, in the next exercise we will learn how to add a background map.\n", "\n", @@ -994,9 +1222,11 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 30, "metadata": { - "clear_cell": true + "clear_cell": true, + "deletable": true, + "editable": true }, "outputs": [], "source": [ @@ -1005,9 +1235,15 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 31, "metadata": { - "clear_cell": true + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [ { @@ -1030,7 +1266,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "
\n", "\n", @@ -1051,9 +1290,15 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 32, "metadata": { - "clear_cell": true + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [ { @@ -1062,7 +1307,7 @@ "" ] }, - "execution_count": 31, + "execution_count": 32, "metadata": {}, "output_type": "execute_result" }, @@ -1085,7 +1330,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "
\n", "\n", @@ -1102,9 +1350,15 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 33, "metadata": { - "clear_cell": true + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [ { @@ -1113,7 +1367,7 @@ "" ] }, - "execution_count": 32, + "execution_count": 33, "metadata": {}, "output_type": "execute_result" }, @@ -1136,7 +1390,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "
\n", "\n", @@ -1154,9 +1411,11 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 34, "metadata": { - "clear_cell": true + "clear_cell": true, + "deletable": true, + "editable": true }, "outputs": [], "source": [ @@ -1165,9 +1424,15 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 35, "metadata": { - "clear_cell": true + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [ { @@ -1253,7 +1518,7 @@ "4 POLYGON ((451328.752 5412991.278, 451294.721 5... " ] }, - "execution_count": 34, + "execution_count": 35, "metadata": {}, "output_type": "execute_result" } @@ -1264,9 +1529,15 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 36, "metadata": { - "clear_cell": true + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [ { @@ -1275,7 +1546,7 @@ "(80, 4)" ] }, - "execution_count": 35, + "execution_count": 36, "metadata": {}, "output_type": "execute_result" } @@ -1286,9 +1557,15 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 37, "metadata": { - "clear_cell": true + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [ { @@ -1297,7 +1574,7 @@ "" ] }, - "execution_count": 36, + "execution_count": 37, "metadata": {}, "output_type": "execute_result" }, @@ -1320,7 +1597,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "
\n", "\n", @@ -1344,9 +1624,15 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 38, "metadata": { - "clear_cell": true + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [ { @@ -1366,7 +1652,7 @@ "Length: 80, dtype: float64" ] }, - "execution_count": 37, + "execution_count": 38, "metadata": {}, "output_type": "execute_result" } @@ -1377,9 +1663,11 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 39, "metadata": { - "clear_cell": true + "clear_cell": true, + "deletable": true, + "editable": true }, "outputs": [], "source": [ @@ -1389,9 +1677,15 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 40, "metadata": { - "clear_cell": true + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [ { @@ -1546,7 +1840,7 @@ "[80 rows x 5 columns]" ] }, - "execution_count": 39, + "execution_count": 40, "metadata": {}, "output_type": "execute_result" } @@ -1557,7 +1851,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "
\n", "\n", @@ -1572,9 +1869,11 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 41, "metadata": { "clear_cell": true, + "deletable": true, + "editable": true, "scrolled": true }, "outputs": [], @@ -1585,9 +1884,15 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 42, "metadata": { - "clear_cell": true + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [ { @@ -1596,7 +1901,7 @@ "" ] }, - "execution_count": 41, + "execution_count": 42, "metadata": {}, "output_type": "execute_result" }, @@ -1620,9 +1925,15 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 43, "metadata": { - "clear_cell": true + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [ { @@ -1631,7 +1942,7 @@ "" ] }, - "execution_count": 42, + "execution_count": 43, "metadata": {}, "output_type": "execute_result" }, @@ -1655,7 +1966,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "---\n", "\n", @@ -1664,7 +1978,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "### Note on `fiona`\n", "\n", @@ -1673,9 +1990,196 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 44, + "metadata": { + "deletable": true, + "editable": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Afghanistan\n", + "Angola\n", + "Albania\n", + "United Arab Emirates\n", + "Argentina\n", + "Armenia\n", + "Antarctica\n", + "Fr. S. Antarctic Lands\n", + "Australia\n", + "Austria\n", + "Azerbaijan\n", + "Burundi\n", + "Belgium\n", + "Benin\n", + "Burkina Faso\n", + "Bangladesh\n", + "Bulgaria\n", + "Bahamas\n", + "Bosnia and Herz.\n", + "Belarus\n", + "Belize\n", + "Bolivia\n", + "Brazil\n", + "Brunei\n", + "Bhutan\n", + "Botswana\n", + "Central African Rep.\n", + "Canada\n", + "Switzerland\n", + "Chile\n", + "China\n", + "Côte d'Ivoire\n", + "Cameroon\n", + "Dem. Rep. Congo\n", + "Congo\n", + "Colombia\n", + "Costa Rica\n", + "Cuba\n", + "N. Cyprus\n", + "Cyprus\n", + "Czechia\n", + "Germany\n", + "Djibouti\n", + "Denmark\n", + "Dominican Rep.\n", + "Algeria\n", + "Ecuador\n", + "Egypt\n", + "Eritrea\n", + "Spain\n", + "Estonia\n", + "Ethiopia\n", + "Finland\n", + "Fiji\n", + "Falkland Is.\n", + "France\n", + "Gabon\n", + "United Kingdom\n", + "Georgia\n", + "Ghana\n", + "Guinea\n", + "Gambia\n", + "Guinea-Bissau\n", + "Eq. Guinea\n", + "Greece\n", + "Greenland\n", + "Guatemala\n", + "Guyana\n", + "Honduras\n", + "Croatia\n", + "Haiti\n", + "Hungary\n", + "Indonesia\n", + "India\n", + "Ireland\n", + "Iran\n", + "Iraq\n", + "Iceland\n", + "Israel\n", + "Italy\n", + "Jamaica\n", + "Jordan\n", + "Japan\n", + "Kazakhstan\n", + "Kenya\n", + "Kyrgyzstan\n", + "Cambodia\n", + "South Korea\n", + "Kosovo\n", + "Kuwait\n", + "Laos\n", + "Lebanon\n", + "Liberia\n", + "Libya\n", + "Sri Lanka\n", + "Lesotho\n", + "Lithuania\n", + "Luxembourg\n", + "Latvia\n", + "Morocco\n", + "Moldova\n", + "Madagascar\n", + "Mexico\n", + "Macedonia\n", + "Mali\n", + "Myanmar\n", + "Montenegro\n", + "Mongolia\n", + "Mozambique\n", + "Mauritania\n", + "Malawi\n", + "Malaysia\n", + "Namibia\n", + "New Caledonia\n", + "Niger\n", + "Nigeria\n", + "Nicaragua\n", + "Netherlands\n", + "Norway\n", + "Nepal\n", + "New Zealand\n", + "Oman\n", + "Pakistan\n", + "Panama\n", + "Peru\n", + "Philippines\n", + "Papua New Guinea\n", + "Poland\n", + "Puerto Rico\n", + "North Korea\n", + "Portugal\n", + "Paraguay\n", + "Palestine\n", + "Qatar\n", + "Romania\n", + "Russia\n", + "Rwanda\n", + "W. Sahara\n", + "Saudi Arabia\n", + "Sudan\n", + "S. Sudan\n", + "Senegal\n", + "Solomon Is.\n", + "Sierra Leone\n", + "El Salvador\n", + "Somaliland\n", + "Somalia\n", + "Serbia\n", + "Suriname\n", + "Slovakia\n", + "Slovenia\n", + "Sweden\n", + "Swaziland\n", + "Syria\n", + "Chad\n", + "Togo\n", + "Thailand\n", + "Tajikistan\n", + "Turkmenistan\n", + "Timor-Leste\n", + "Trinidad and Tobago\n", + "Tunisia\n", + "Turkey\n", + "Taiwan\n", + "Tanzania\n", + "Uganda\n", + "Ukraine\n", + "Uruguay\n", + "United States of America\n", + "Uzbekistan\n", + "Venezuela\n", + "Vietnam\n", + "Vanuatu\n", + "Yemen\n", + "South Africa\n", + "Zambia\n", + "Zimbabwe\n" + ] + } + ], "source": [ "import fiona\n", "from shapely.geometry import shape\n", @@ -1691,16 +2195,76 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "### Constructing a GeoDataFrame manually" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 45, + "metadata": { + "deletable": true, + "editable": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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1POINT (2.00000 2.00000)20.2
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" + ], + "text/plain": [ + " geometry attribute1 attribute2\n", + "0 POINT (1.00000 1.00000) 1 0.1\n", + "1 POINT (2.00000 2.00000) 2 0.2" + ] + }, + "execution_count": 45, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "geopandas.GeoDataFrame({\n", " 'geometry': [Point(1, 1), Point(2, 2)],\n", @@ -1710,7 +2274,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "### Creating a GeoDataFrame from an existing dataframe\n", "\n", @@ -1719,8 +2286,11 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, + "execution_count": 46, + "metadata": { + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "df = pd.DataFrame(\n", @@ -1732,8 +2302,11 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, + "execution_count": 47, + "metadata": { + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "gdf = geopandas.GeoDataFrame(\n", @@ -1742,16 +2315,109 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 48, + "metadata": { + "deletable": true, + "editable": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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CityCountryLatitudeLongitudegeometry
0Buenos AiresArgentina-34.58-58.66POINT (-58.66000 -34.58000)
1BrasiliaBrazil-15.78-47.91POINT (-47.91000 -15.78000)
2SantiagoChile-33.45-70.66POINT (-70.66000 -33.45000)
3BogotaColombia4.60-74.08POINT (-74.08000 4.60000)
4CaracasVenezuela10.48-66.86POINT (-66.86000 10.48000)
\n", + "
" + ], + "text/plain": [ + " City Country Latitude Longitude geometry\n", + "0 Buenos Aires Argentina -34.58 -58.66 POINT (-58.66000 -34.58000)\n", + "1 Brasilia Brazil -15.78 -47.91 POINT (-47.91000 -15.78000)\n", + "2 Santiago Chile -33.45 -70.66 POINT (-70.66000 -33.45000)\n", + "3 Bogota Colombia 4.60 -74.08 POINT (-74.08000 4.60000)\n", + "4 Caracas Venezuela 10.48 -66.86 POINT (-66.86000 10.48000)" + ] + }, + "execution_count": 48, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "gdf" ] }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "See http://geopandas.readthedocs.io/en/latest/gallery/create_geopandas_from_pandas.html for full example" ] @@ -1759,12 +2425,16 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "outputs": [], "source": [] } ], "metadata": { + "celltoolbar": "Nbtutor - export exercises", "kernelspec": { "display_name": "Python 3", "language": "python", diff --git a/_solved/03-coordinate-reference-systems.ipynb b/_solved/03-coordinate-reference-systems.ipynb index e8c0366..47c270a 100644 --- a/_solved/03-coordinate-reference-systems.ipynb +++ b/_solved/03-coordinate-reference-systems.ipynb @@ -2,7 +2,10 @@ "cells": [ { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "# Coordinate reference systems" ] @@ -10,7 +13,10 @@ { "cell_type": "code", "execution_count": 1, - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "%matplotlib inline\n", @@ -22,7 +28,10 @@ { "cell_type": "code", "execution_count": 2, - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "countries = geopandas.read_file(\"zip://./data/ne_110m_admin_0_countries.zip\")\n", @@ -32,7 +41,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "## Coordinate reference systems\n", "\n", @@ -45,7 +57,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "### Geographic coordinates\n", "\n", @@ -66,7 +81,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "### Projected coordinates\n", "\n", @@ -94,7 +112,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "**Projected size vs actual size (Mercator projection)**:\n", "\n", @@ -103,14 +124,20 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "## Coordinate Reference Systems in Python / GeoPandas" ] }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "A GeoDataFrame or GeoSeries has a `.crs` attribute which holds (optionally) a description of the coordinate reference system of the geometries:" ] @@ -118,7 +145,14 @@ { "cell_type": "code", "execution_count": 3, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -147,7 +181,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "For the `countries` dataframe, it indicates that it uses the EPSG 4326 / WGS84 lon/lat reference system, which is one of the most used for geographic coordinates.\n", "\n", @@ -158,7 +195,14 @@ { "cell_type": "code", "execution_count": 4, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -189,7 +233,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "The `.crs` attribute returns a `pyproj.CRS` object. To specify a CRS, we typically use some string representation:\n", "\n", @@ -216,7 +263,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "### Transforming to another CRS\n", "\n", @@ -228,7 +278,10 @@ { "cell_type": "code", "execution_count": 5, - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "# remove Antartica, as the Mercator projection cannot deal with the poles\n", @@ -238,7 +291,10 @@ { "cell_type": "code", "execution_count": 6, - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "countries_mercator = countries.to_crs(epsg=3395) # or .to_crs({'init': 'epsg:3395'})" @@ -247,7 +303,14 @@ { "cell_type": "code", "execution_count": 7, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -278,14 +341,20 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "Note the different scale of x and y." ] }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "### Why using a different CRS?\n", "\n", @@ -315,7 +384,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "## Let's practice!\n", "\n", @@ -326,7 +398,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "Going back to the Paris districts dataset, this is now provided as a GeoJSON file (`\"data/paris_districts.geojson\"`) in geographic coordinates.\n", "\n", @@ -360,7 +435,9 @@ "cell_type": "code", "execution_count": 8, "metadata": { - "clear_cell": true + "clear_cell": true, + "deletable": true, + "editable": true }, "outputs": [], "source": [ @@ -372,7 +449,13 @@ "cell_type": "code", "execution_count": 9, "metadata": { - "clear_cell": true + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [ { @@ -405,7 +488,13 @@ "cell_type": "code", "execution_count": 10, "metadata": { - "clear_cell": true + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [ { @@ -505,7 +594,13 @@ "cell_type": "code", "execution_count": 11, "metadata": { - "clear_cell": true + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [ { @@ -540,7 +635,13 @@ "cell_type": "code", "execution_count": 12, "metadata": { - "clear_cell": true + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [ { @@ -581,9 +682,11 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 13, "metadata": { - "clear_cell": true + "clear_cell": true, + "deletable": true, + "editable": true }, "outputs": [], "source": [ @@ -593,9 +696,15 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 14, "metadata": { - "clear_cell": true + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [ { @@ -604,7 +713,7 @@ "" ] }, - "execution_count": 15, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" }, @@ -628,9 +737,15 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 15, "metadata": { - "clear_cell": true + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [ { @@ -650,7 +765,7 @@ "Length: 80, dtype: float64" ] }, - "execution_count": 16, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -662,7 +777,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "
\n", "\n", @@ -692,9 +810,15 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 16, "metadata": { - "clear_cell": true + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [ { @@ -780,7 +904,7 @@ "4 POINT (2.43079 48.84149) " ] }, - "execution_count": 17, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } @@ -792,9 +916,15 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 17, "metadata": { - "clear_cell": true + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [ { @@ -880,7 +1010,7 @@ "4 POINT (2.43079 48.84149) " ] }, - "execution_count": 18, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } @@ -893,9 +1023,15 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 18, "metadata": { - "clear_cell": true + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [ { @@ -921,12 +1057,16 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "outputs": [], "source": [] } ], "metadata": { + "celltoolbar": "Nbtutor - export exercises", "kernelspec": { "display_name": "Python 3", "language": "python", diff --git a/_solved/04-spatial-relationships-joins.ipynb b/_solved/04-spatial-relationships-joins.ipynb index f935ed4..1218fec 100644 --- a/_solved/04-spatial-relationships-joins.ipynb +++ b/_solved/04-spatial-relationships-joins.ipynb @@ -991,7 +991,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 32, "metadata": {}, "outputs": [], "source": [ @@ -1001,7 +1001,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 33, "metadata": {}, "outputs": [ { @@ -1067,7 +1067,7 @@ "235 Paris POINT (2.33139 48.86864) FRA" ] }, - "execution_count": 4, + "execution_count": 33, "metadata": {}, "output_type": "execute_result" } @@ -1078,7 +1078,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 34, "metadata": {}, "outputs": [ { @@ -1151,7 +1151,7 @@ "4 ARG Argentina South America" ] }, - "execution_count": 5, + "execution_count": 34, "metadata": {}, "output_type": "execute_result" } @@ -1172,7 +1172,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 35, "metadata": {}, "outputs": [ { @@ -1248,7 +1248,7 @@ "3 Paris POINT (2.33139 48.86864) FRA France Europe" ] }, - "execution_count": 6, + "execution_count": 35, "metadata": {}, "output_type": "execute_result" } @@ -1279,7 +1279,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 36, "metadata": {}, "outputs": [], "source": [ @@ -1288,7 +1288,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 37, "metadata": {}, "outputs": [ { @@ -1308,7 +1308,7 @@ "Length: 243, dtype: bool" ] }, - "execution_count": 8, + "execution_count": 37, "metadata": {}, "output_type": "execute_result" } @@ -1327,7 +1327,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 38, "metadata": {}, "outputs": [ { @@ -1388,7 +1388,7 @@ "235 Paris POINT (2.33139 48.86864)" ] }, - "execution_count": 9, + "execution_count": 38, "metadata": {}, "output_type": "execute_result" } @@ -1449,7 +1449,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 39, "metadata": {}, "outputs": [], "source": [ @@ -1458,7 +1458,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 40, "metadata": {}, "outputs": [ { @@ -1649,7 +1649,7 @@ "[243 rows x 8 columns]" ] }, - "execution_count": 11, + "execution_count": 40, "metadata": {}, "output_type": "execute_result" } @@ -1660,7 +1660,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 41, "metadata": {}, "outputs": [ { @@ -1675,7 +1675,7 @@ "Name: continent, dtype: int64" ] }, - "execution_count": 12, + "execution_count": 41, "metadata": {}, "output_type": "execute_result" } @@ -1695,7 +1695,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 42, "metadata": {}, "outputs": [], "source": [ @@ -1724,7 +1724,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 43, "metadata": { "clear_cell": true }, @@ -1735,7 +1735,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 44, "metadata": { "clear_cell": true }, @@ -1835,7 +1835,7 @@ "429 POINT (651261.351 6859926.893) 52 Montparnasse " ] }, - "execution_count": 15, + "execution_count": 44, "metadata": {}, "output_type": "execute_result" } @@ -1872,7 +1872,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 45, "metadata": { "clear_cell": true }, @@ -1885,7 +1885,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 46, "metadata": { "clear_cell": true }, @@ -1960,7 +1960,7 @@ "4 Sophora Alignement POINT (447041.361 5409756.712)" ] }, - "execution_count": 17, + "execution_count": 46, "metadata": {}, "output_type": "execute_result" } @@ -1972,7 +1972,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 47, "metadata": { "clear_cell": true }, @@ -2078,7 +2078,7 @@ "428 44 Sainte-Marguerite 36476 " ] }, - "execution_count": 18, + "execution_count": 47, "metadata": {}, "output_type": "execute_result" } @@ -2113,7 +2113,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 48, "metadata": { "clear_cell": true }, @@ -2125,7 +2125,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 49, "metadata": { "clear_cell": true }, @@ -2137,7 +2137,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 50, "metadata": { "clear_cell": true }, @@ -2205,7 +2205,7 @@ "Auteuil 392" ] }, - "execution_count": 21, + "execution_count": 50, "metadata": {}, "output_type": "execute_result" } @@ -2251,7 +2251,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 51, "metadata": { "clear_cell": true }, @@ -2345,7 +2345,7 @@ "4 POLYGON ((451328.752 5412991.278, 451294.721 5... 7 " ] }, - "execution_count": 22, + "execution_count": 51, "metadata": {}, "output_type": "execute_result" } @@ -2358,7 +2358,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 52, "metadata": { "clear_cell": true }, @@ -2370,7 +2370,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 53, "metadata": { "clear_cell": true }, diff --git a/_solved/05-spatial-operations-overlays.ipynb b/_solved/05-spatial-operations-overlays.ipynb index 1fc9754..1cda0c8 100644 --- a/_solved/05-spatial-operations-overlays.ipynb +++ b/_solved/05-spatial-operations-overlays.ipynb @@ -2,7 +2,10 @@ "cells": [ { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "# Spatial operations and overlays: creating new geometries\n", "\n", @@ -12,7 +15,10 @@ { "cell_type": "code", "execution_count": 1, - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "import pandas as pd\n", @@ -23,7 +29,10 @@ { "cell_type": "code", "execution_count": 2, - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "countries = geopandas.read_file(\"zip://./data/ne_110m_admin_0_countries.zip\")\n", @@ -34,7 +43,10 @@ { "cell_type": "code", "execution_count": 3, - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "# defining the same example geometries as in the previous notebook\n", @@ -44,7 +56,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "## Spatial operations\n", "\n", @@ -78,7 +93,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "For example, using the toy data from above, let's construct a buffer around Brussels (which returns a Polygon):" ] @@ -86,7 +104,14 @@ { "cell_type": "code", "execution_count": 4, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -117,7 +142,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "and now take the intersection, union or difference of those two polygons:" ] @@ -125,7 +153,14 @@ { "cell_type": "code", "execution_count": 5, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -133,7 +168,7 @@ "" ], "text/plain": [ - "" + "" ] }, "execution_count": 5, @@ -148,7 +183,14 @@ { "cell_type": "code", "execution_count": 6, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -156,7 +198,7 @@ "" ], "text/plain": [ - "" + "" ] }, "execution_count": 6, @@ -171,7 +213,14 @@ { "cell_type": "code", "execution_count": 7, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -179,7 +228,7 @@ "" ], "text/plain": [ - "" + "" ] }, "execution_count": 7, @@ -193,14 +242,20 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "### Spatial operations with GeoPandas" ] }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "Above we showed how to create a new geometry based on two individual shapely geometries. \n", "The same operations can be extended to GeoPandas. Given a GeoDataFrame, we can calculate the intersection, union or difference of each of the geometries with another geometry.\n", @@ -211,7 +266,10 @@ { "cell_type": "code", "execution_count": 8, - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "africa = countries[countries.continent == 'Africa']" @@ -220,7 +278,10 @@ { "cell_type": "code", "execution_count": 9, - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "from shapely.geometry import LineString\n", @@ -230,7 +291,14 @@ { "cell_type": "code", "execution_count": 10, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -263,7 +331,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "The intersection method of the GeoDataFrame will now calculate the intersection with the rectangle for each of the geometries of the africa GeoDataFrame element-wise. Note that for many of the countries, those that do not overlap with the rectangle, this will be an empty geometry:" ] @@ -271,7 +342,14 @@ { "cell_type": "code", "execution_count": 11, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -296,7 +374,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "What is returned is a new GeoSeries of the same length as the original dataframe, containing one row per country, but now containing only the intersection. In this example, the last element shown is an empty polygon, as that country was not overlapping with the box." ] @@ -304,7 +385,14 @@ { "cell_type": "code", "execution_count": 12, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -338,7 +426,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "# Unary union and dissolve\n", "\n", @@ -350,7 +441,10 @@ { "cell_type": "code", "execution_count": 13, - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "africa_countries = countries[countries['continent'] == 'Africa']" @@ -359,7 +453,10 @@ { "cell_type": "code", "execution_count": 14, - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "africa = africa_countries.unary_union" @@ -368,7 +465,14 @@ { "cell_type": "code", "execution_count": 15, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -376,7 +480,7 @@ "" ], "text/plain": [ - "" + "" ] }, "execution_count": 15, @@ -391,7 +495,14 @@ { "cell_type": "code", "execution_count": 16, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "name": "stdout", @@ -407,7 +518,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "Alternatively, you might want to take the unary union of a set of geometries but *grouped* by one of the attributes of the GeoDataFrame (so basically doing \"groupby\" + \"unary_union\"). For this operation, GeoPandas provides the `dissolve()` method:" ] @@ -415,7 +529,10 @@ { "cell_type": "code", "execution_count": 17, - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "continents = countries.dissolve(by=\"continent\") # , aggfunc=\"sum\"" @@ -424,7 +541,14 @@ { "cell_type": "code", "execution_count": 18, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -566,7 +690,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "
\n", "\n", @@ -584,14 +711,20 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "## Let's practice!" ] }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "
\n", "\n", @@ -611,7 +744,11 @@ { "cell_type": "code", "execution_count": 19, - "metadata": {}, + "metadata": { + "clear_cell": false, + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "districts = geopandas.read_file(\"data/paris_districts.geojson\").to_crs(epsg=2154)" @@ -620,7 +757,11 @@ { "cell_type": "code", "execution_count": 20, - "metadata": {}, + "metadata": { + "clear_cell": false, + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "# created a line with http://geojson.io\n", @@ -631,7 +772,10 @@ { "cell_type": "code", "execution_count": 21, - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "# convert to local UTM zone\n", @@ -641,7 +785,14 @@ { "cell_type": "code", "execution_count": 22, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -676,7 +827,10 @@ { "cell_type": "code", "execution_count": 23, - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "# access the single geometry object\n", @@ -687,7 +841,9 @@ "cell_type": "code", "execution_count": 24, "metadata": { - "clear_cell": true + "clear_cell": true, + "deletable": true, + "editable": true }, "outputs": [], "source": [ @@ -698,7 +854,13 @@ "cell_type": "code", "execution_count": 25, "metadata": { - "clear_cell": true + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [ { @@ -707,7 +869,7 @@ "" ], "text/plain": [ - "" + "" ] }, "execution_count": 25, @@ -723,7 +885,9 @@ "cell_type": "code", "execution_count": 26, "metadata": { - "clear_cell": true + "clear_cell": true, + "deletable": true, + "editable": true }, "outputs": [], "source": [ @@ -734,7 +898,13 @@ "cell_type": "code", "execution_count": 27, "metadata": { - "clear_cell": true + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [ { @@ -769,7 +939,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "
\n", "\n", @@ -800,7 +973,13 @@ "cell_type": "code", "execution_count": 28, "metadata": { - "clear_cell": true + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [ { @@ -889,7 +1068,13 @@ "cell_type": "code", "execution_count": 29, "metadata": { - "clear_cell": true + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [ { @@ -924,7 +1109,9 @@ "cell_type": "code", "execution_count": 30, "metadata": { - "clear_cell": true + "clear_cell": true, + "deletable": true, + "editable": true }, "outputs": [], "source": [ @@ -936,7 +1123,13 @@ "cell_type": "code", "execution_count": 31, "metadata": { - "clear_cell": true + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [ { @@ -967,7 +1160,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "
\n", "\n", @@ -995,7 +1191,10 @@ { "cell_type": "code", "execution_count": 32, - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "land_use = geopandas.read_file(\"zip://./data/paris_land_use.zip\")\n", @@ -1005,7 +1204,10 @@ { "cell_type": "code", "execution_count": 33, - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "# extract polygons\n", @@ -1017,7 +1219,14 @@ { "cell_type": "code", "execution_count": 34, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -1051,7 +1260,9 @@ "cell_type": "code", "execution_count": 35, "metadata": { - "clear_cell": true + "clear_cell": true, + "deletable": true, + "editable": true }, "outputs": [], "source": [ @@ -1063,7 +1274,13 @@ "cell_type": "code", "execution_count": 36, "metadata": { - "clear_cell": true + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [ { @@ -1098,7 +1315,13 @@ "cell_type": "code", "execution_count": 37, "metadata": { - "clear_cell": true + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [ { @@ -1116,7 +1339,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "
\n", "\n", @@ -1145,7 +1371,10 @@ { "cell_type": "code", "execution_count": 38, - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "land_use = geopandas.read_file(\"zip://./data/paris_land_use.zip\")\n", @@ -1157,7 +1386,9 @@ "cell_type": "code", "execution_count": 39, "metadata": { - "clear_cell": true + "clear_cell": true, + "deletable": true, + "editable": true }, "outputs": [], "source": [ @@ -1168,7 +1399,15 @@ { "cell_type": "code", "execution_count": 40, - "metadata": {}, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "name": "stderr", @@ -1208,7 +1447,11 @@ { "cell_type": "code", "execution_count": 41, - "metadata": {}, + "metadata": { + "clear_cell": true, + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "# Remove the empty geometries\n", @@ -1218,7 +1461,15 @@ { "cell_type": "code", "execution_count": 42, - "metadata": {}, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -1245,7 +1496,13 @@ "cell_type": "code", "execution_count": 43, "metadata": { - "clear_cell": true + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [ { @@ -1278,7 +1535,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "You can see in the plot that we now only have a subset of the full land use dataset. The original `land_use_muette` (before removing the empty geometries) still has the same number of rows as the original `land_use`, though. But many of the rows, as you could see by printing the first rows, consist now of empty polygons when it did not intersect with the Muette district.\n", "\n", @@ -1288,7 +1548,15 @@ { "cell_type": "code", "execution_count": 44, - "metadata": {}, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -1375,8 +1643,16 @@ }, { "cell_type": "code", - "execution_count": 46, - "metadata": {}, + "execution_count": 45, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -1384,7 +1660,7 @@ "" ] }, - "execution_count": 46, + "execution_count": 45, "metadata": {}, "output_type": "execute_result" }, @@ -1407,8 +1683,16 @@ }, { "cell_type": "code", - "execution_count": 47, - "metadata": {}, + "execution_count": 46, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -1488,7 +1772,7 @@ "Water bodies MULTIPOLYGON (((3755507.459 2889412.262, 37555..." ] }, - "execution_count": 47, + "execution_count": 46, "metadata": {}, "output_type": "execute_result" } @@ -1499,7 +1783,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "
\n", "\n", @@ -1523,8 +1810,16 @@ }, { "cell_type": "code", - "execution_count": 48, - "metadata": {}, + "execution_count": 47, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -1541,7 +1836,7 @@ "Name: area, dtype: float64" ] }, - "execution_count": 48, + "execution_count": 47, "metadata": {}, "output_type": "execute_result" } @@ -1554,8 +1849,16 @@ }, { "cell_type": "code", - "execution_count": 49, - "metadata": {}, + "execution_count": 48, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -1572,7 +1875,7 @@ "Name: area, dtype: float64" ] }, - "execution_count": 49, + "execution_count": 48, "metadata": {}, "output_type": "execute_result" } @@ -1584,14 +1887,20 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "The above was only for a single district. If we want to do this more easily for all districts, we can do this with the overlay operation." ] }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "## The overlay operation\n", "\n", @@ -1602,14 +1911,20 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "### How does it differ compared to the intersection method?" ] }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "With the `intersection()` method introduced in the previous section, we could for example determine the intersection of a set of countries with another polygon, a circle in the example below:\n", "\n", @@ -1618,7 +1933,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "However, this method (`countries.intersection(circle)`) also has some limitations.\n", "\n", @@ -1630,7 +1948,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "Consider the following simplified example. On the left we see again the 3 countries. On the right we have the plot of a GeoDataFrame with some simplified geologic regions for the same area:\n", "\n", @@ -1653,15 +1974,21 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "Another code example:" ] }, { "cell_type": "code", - "execution_count": 50, - "metadata": {}, + "execution_count": 49, + "metadata": { + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "africa = countries[countries['continent'] == 'Africa']" @@ -1669,8 +1996,15 @@ }, { "cell_type": "code", - "execution_count": 51, - "metadata": {}, + "execution_count": 50, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -1678,7 +2012,7 @@ "" ] }, - "execution_count": 51, + "execution_count": 50, "metadata": {}, "output_type": "execute_result" }, @@ -1701,14 +2035,21 @@ }, { "cell_type": "code", - "execution_count": 52, - "metadata": {}, + "execution_count": 51, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - ":1: UserWarning: Geometry is in a geographic CRS. Results from 'buffer' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", + ":1: UserWarning: Geometry is in a geographic CRS. Results from 'buffer' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n", "\n", " cities['geometry'] = cities.buffer(2)\n" ] @@ -1720,8 +2061,15 @@ }, { "cell_type": "code", - "execution_count": 53, - "metadata": {}, + "execution_count": 52, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -1729,7 +2077,7 @@ "" ] }, - "execution_count": 53, + "execution_count": 52, "metadata": {}, "output_type": "execute_result" }, @@ -1753,8 +2101,15 @@ }, { "cell_type": "code", - "execution_count": 54, - "metadata": {}, + "execution_count": 53, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -1857,7 +2212,7 @@ "4 POLYGON ((14.03697 -5.86721, 16.32653 -5.87747... " ] }, - "execution_count": 54, + "execution_count": 53, "metadata": {}, "output_type": "execute_result" } @@ -1868,7 +2223,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "With the overlay method, we pass the full GeoDataFrame with all regions to intersect the countries with. The result contains all non-empty intersections of all combinations of countries and city regions.\n", "\n", @@ -1877,8 +2235,15 @@ }, { "cell_type": "code", - "execution_count": 55, - "metadata": {}, + "execution_count": 54, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -1886,7 +2251,7 @@ "" ] }, - "execution_count": 55, + "execution_count": 54, "metadata": {}, "output_type": "execute_result" }, @@ -1909,7 +2274,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "
\n", "REMEMBER
\n", @@ -1922,14 +2290,20 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "## Let's practice!" ] }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "
\n", "\n", @@ -1953,8 +2327,11 @@ }, { "cell_type": "code", - "execution_count": 56, - "metadata": {}, + "execution_count": 55, + "metadata": { + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "land_use = geopandas.read_file(\"zip://./data/paris_land_use.zip\")\n", @@ -1963,9 +2340,11 @@ }, { "cell_type": "code", - "execution_count": 57, + "execution_count": 56, "metadata": { - "clear_cell": true + "clear_cell": true, + "deletable": true, + "editable": true }, "outputs": [], "source": [ @@ -1975,9 +2354,15 @@ }, { "cell_type": "code", - "execution_count": 58, + "execution_count": 57, "metadata": { - "clear_cell": true + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [ { @@ -2069,7 +2454,7 @@ "4 POLYGON ((3751619.113 2890500.000, 3751626.627... " ] }, - "execution_count": 58, + "execution_count": 57, "metadata": {}, "output_type": "execute_result" } @@ -2081,7 +2466,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "
\n", "\n", @@ -2108,9 +2496,11 @@ }, { "cell_type": "code", - "execution_count": 59, + "execution_count": 58, "metadata": { - "clear_cell": true + "clear_cell": true, + "deletable": true, + "editable": true }, "outputs": [], "source": [ @@ -2120,9 +2510,11 @@ }, { "cell_type": "code", - "execution_count": 60, + "execution_count": 59, "metadata": { - "clear_cell": true + "clear_cell": true, + "deletable": true, + "editable": true }, "outputs": [], "source": [ @@ -2132,9 +2524,15 @@ }, { "cell_type": "code", - "execution_count": 61, + "execution_count": 60, "metadata": { - "clear_cell": true + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [ { @@ -2143,7 +2541,7 @@ "" ] }, - "execution_count": 61, + "execution_count": 60, "metadata": {}, "output_type": "execute_result" }, @@ -2167,9 +2565,15 @@ }, { "cell_type": "code", - "execution_count": 62, + "execution_count": 61, "metadata": { - "clear_cell": true + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [ { @@ -2196,7 +2600,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "
\n", "\n", @@ -2214,8 +2621,16 @@ }, { "cell_type": "code", - "execution_count": 64, - "metadata": {}, + "execution_count": 62, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -2229,7 +2644,7 @@ "Name: area, dtype: float64" ] }, - "execution_count": 64, + "execution_count": 62, "metadata": {}, "output_type": "execute_result" } @@ -2241,8 +2656,12 @@ }, { "cell_type": "code", - "execution_count": 65, - "metadata": {}, + "execution_count": 63, + "metadata": { + "clear_cell": true, + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "urban_green = combined[combined[\"class\"] == \"Green urban areas\"]" @@ -2250,8 +2669,16 @@ }, { "cell_type": "code", - "execution_count": 66, - "metadata": {}, + "execution_count": 64, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -2265,7 +2692,7 @@ "Name: area, dtype: float64" ] }, - "execution_count": 66, + "execution_count": 64, "metadata": {}, "output_type": "execute_result" } @@ -2277,8 +2704,12 @@ }, { "cell_type": "code", - "execution_count": 67, - "metadata": {}, + "execution_count": 65, + "metadata": { + "clear_cell": true, + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "urban_green_fraction = urban_green_area / districts_area * 100" @@ -2286,8 +2717,16 @@ }, { "cell_type": "code", - "execution_count": 68, - "metadata": {}, + "execution_count": 66, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -2301,7 +2740,7 @@ "Name: area, dtype: float64" ] }, - "execution_count": 68, + "execution_count": 66, "metadata": {}, "output_type": "execute_result" } @@ -2312,8 +2751,16 @@ }, { "cell_type": "code", - "execution_count": 70, - "metadata": {}, + "execution_count": 67, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -2327,7 +2774,7 @@ "Name: area, dtype: float64" ] }, - "execution_count": 70, + "execution_count": 67, "metadata": {}, "output_type": "execute_result" } @@ -2338,15 +2785,25 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "An alternative to calculate the area per land use class in each district:" ] }, { "cell_type": "code", - "execution_count": 71, - "metadata": {}, + "execution_count": 68, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -2463,7 +2920,7 @@ "[357 rows x 3 columns]" ] }, - "execution_count": 71, + "execution_count": 68, "metadata": {}, "output_type": "execute_result" } @@ -2475,12 +2932,16 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "outputs": [], "source": [] } ], "metadata": { + "celltoolbar": "Nbtutor - export exercises", "kernelspec": { "display_name": "Python 3", "language": "python", diff --git a/_solved/case-curieuzeneuzen-air-quality.ipynb b/_solved/case-curieuzeneuzen-air-quality.ipynb index cc0cecd..6c6412e 100644 --- a/_solved/case-curieuzeneuzen-air-quality.ipynb +++ b/_solved/case-curieuzeneuzen-air-quality.ipynb @@ -2,7 +2,10 @@ "cells": [ { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "

CASE - CurieuzeNeuzen citizen science air quality data

\n", "\n", @@ -17,7 +20,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "\n", "\n", @@ -35,7 +41,10 @@ { "cell_type": "code", "execution_count": 1, - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "import pandas as pd\n", @@ -46,14 +55,20 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "## Importing and exploring the data" ] }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "
\n", "\n", @@ -68,7 +83,15 @@ { "cell_type": "code", "execution_count": 2, - "metadata": {}, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -222,7 +245,15 @@ { "cell_type": "code", "execution_count": 3, - "metadata": {}, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -241,7 +272,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "The dataset contains longitude/latitude columns of the measurement locations, the measured NO2 concentration, and in addition also a \"campaign\" column indicating the type of measurement location (and an internal \"code\", which we will ignore here).\n", "\n", @@ -264,7 +298,15 @@ { "cell_type": "code", "execution_count": 4, - "metadata": {}, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -286,7 +328,11 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "clear_cell": false, + "deletable": true, + "editable": true + }, "source": [ "Most of the measurements are performed at the facade of the house or building of a participant. In addition, some measurement tubes were also placed next to reference monitoring stations of the VMM and in background locations (e.g. nature reserve or park).\n", "\n", @@ -295,7 +341,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "
\n", "\n", @@ -319,7 +368,15 @@ { "cell_type": "code", "execution_count": 5, - "metadata": {}, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -339,7 +396,15 @@ { "cell_type": "code", "execution_count": 6, - "metadata": {}, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -366,7 +431,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "A histogram:" ] @@ -374,7 +442,15 @@ { "cell_type": "code", "execution_count": 7, - "metadata": {}, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -405,7 +481,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "A more expanded histogram (not asked in the exercise, but uncomment to check the code!)" ] @@ -413,12 +492,20 @@ { "cell_type": "code", "execution_count": 8, - "metadata": {}, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 8, @@ -453,7 +540,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "
\n", "\n", @@ -475,7 +565,11 @@ { "cell_type": "code", "execution_count": 9, - "metadata": {}, + "metadata": { + "clear_cell": true, + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "exceedances = df['no2'] > 40" @@ -484,7 +578,15 @@ { "cell_type": "code", "execution_count": 10, - "metadata": {}, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -503,7 +605,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "So overall in Flanders, around 2.3% of the measurement locations exceeded the limit value. This might not seem much, but assuming that the dataset is representative for the population of Flanders (and effort was done to ensure this), around 150,000 inhabitants live in a place where the annual NO2 concentration at the front door exceeds the EU legal threshold value. \n", "We will also later see that this exceedance has a large spatial variation." @@ -511,7 +616,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "
\n", "\n", @@ -533,7 +641,15 @@ { "cell_type": "code", "execution_count": 11, - "metadata": {}, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -553,7 +669,15 @@ { "cell_type": "code", "execution_count": 12, - "metadata": {}, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -576,21 +700,30 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "The background locations (parks, nature reserves) clearly show a lower concentration than the average location. Note that the number of observations in each class are very skewed, so those averages are not necessarily representative!" ] }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "## Converting to a geospatial dataset" ] }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "The provided data was a CSV file, and we explored it above as a pandas DataFrame. To further explore the dataset using the spatial aspects (point data), we will first convert it to a geopandas GeoDataFrame.\n", "\n", @@ -617,7 +750,11 @@ { "cell_type": "code", "execution_count": 13, - "metadata": {}, + "metadata": { + "clear_cell": true, + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "gdf = geopandas.GeoDataFrame(df, geometry=geopandas.points_from_xy(df['lon'], df['lat']), crs=\"EPSG:4326\")" @@ -626,7 +763,15 @@ { "cell_type": "code", "execution_count": 14, - "metadata": {}, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -804,7 +949,15 @@ { "cell_type": "code", "execution_count": 15, - "metadata": {}, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -835,7 +988,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "Let's make that last plot a bit more informative:\n", "\n", @@ -852,7 +1008,15 @@ { "cell_type": "code", "execution_count": 16, - "metadata": {}, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -883,7 +1047,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "We can already notice some spatial patterns: higher concentrations (and also more measurement locations) in urban areas. But, the visualization above is not really a good way to visualize many points. There are many alternatives (e.g. heatmaps, hexbins, etc), but in this case study we are going to make a [*choropleth* map](https://en.wikipedia.org/wiki/Choropleth_map): choropleths are maps onto which an attribute, a non-spatial variable, is displayed by coloring a certain area. \n", "\n", @@ -892,7 +1059,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "## Combining with municipalities\n", "\n", @@ -901,7 +1071,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "
\n", "\n", @@ -916,7 +1089,11 @@ { "cell_type": "code", "execution_count": 17, - "metadata": {}, + "metadata": { + "clear_cell": true, + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "muni = geopandas.read_file(\"./data/VRBG/Refgem.shp\")" @@ -925,7 +1102,15 @@ { "cell_type": "code", "execution_count": 18, - "metadata": {}, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -1071,7 +1256,15 @@ { "cell_type": "code", "execution_count": 19, - "metadata": {}, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -1102,7 +1295,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "Now we have a dataset with the municipalities, we want to know for each of the measurement locations in which municipality it is located. This is a \"point-in-polygon\" spatial join.\n", "\n", @@ -1128,7 +1324,15 @@ { "cell_type": "code", "execution_count": 20, - "metadata": {}, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -1158,7 +1362,15 @@ { "cell_type": "code", "execution_count": 21, - "metadata": {}, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -1191,16 +1403,11 @@ { "cell_type": "code", "execution_count": 22, - "metadata": {}, - "outputs": [], - "source": [ - "gdf_lambert = gdf.to_crs(\"EPSG:31370\") # or .to_crs(muni.crs)" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, + "metadata": { + "clear_cell": true, + "deletable": true, + "editable": true + }, "outputs": [ { "data": { @@ -1290,25 +1497,32 @@ "4 192879 facade 25.6 51.19922 4.461859 POINT (156507.609 209920.408)" ] }, - "execution_count": 23, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" } ], "source": [ + "gdf_lambert = gdf.to_crs(\"EPSG:31370\") # or .to_crs(muni.crs)\n", "gdf_lambert.head()" ] }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "The EPSG:31370 or \"Belgian Lambert 72\" (https://epsg.io/31370) is the local, projected CRS most often used in Belgium. " ] }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "
\n", "\n", @@ -1330,8 +1544,12 @@ }, { "cell_type": "code", - "execution_count": 24, - "metadata": {}, + "execution_count": 23, + "metadata": { + "clear_cell": true, + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "gdf_combined = geopandas.sjoin(gdf_lambert, muni[[\"NAAM\", \"geometry\"]])" @@ -1339,8 +1557,16 @@ }, { "cell_type": "code", - "execution_count": 25, - "metadata": {}, + "execution_count": 24, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -1449,7 +1675,7 @@ "1207 POINT (175573.602 168968.919) 258 Oud-Heverlee " ] }, - "execution_count": 25, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" } @@ -1460,7 +1686,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "
\n", "\n", @@ -1482,8 +1711,16 @@ }, { "cell_type": "code", - "execution_count": 26, - "metadata": {}, + "execution_count": 25, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -1497,7 +1734,7 @@ "Name: no2, dtype: float64" ] }, - "execution_count": 26, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" } @@ -1509,8 +1746,16 @@ }, { "cell_type": "code", - "execution_count": 27, - "metadata": {}, + "execution_count": 26, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -1576,7 +1821,7 @@ "4 Affligem 24.745455" ] }, - "execution_count": 27, + "execution_count": 26, "metadata": {}, "output_type": "execute_result" } @@ -1588,8 +1833,16 @@ }, { "cell_type": "code", - "execution_count": 28, - "metadata": {}, + "execution_count": 27, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -1729,7 +1982,7 @@ "4 POLYGON ((200827.109 220823.391, 201389.922 22... 18.064286 " ] }, - "execution_count": 28, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" } @@ -1741,7 +1994,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "
\n", "\n", @@ -1763,8 +2019,16 @@ }, { "cell_type": "code", - "execution_count": 29, - "metadata": {}, + "execution_count": 28, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -1772,7 +2036,7 @@ "" ] }, - "execution_count": 29, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" }, @@ -1795,7 +2059,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "When specifying a numerical column to color the polygons, by default this results in a continuous color scale, as you can see above.\n", "\n", @@ -1807,7 +2074,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "
\n", "\n", @@ -1820,8 +2090,16 @@ }, { "cell_type": "code", - "execution_count": 30, - "metadata": {}, + "execution_count": 29, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -1843,7 +2121,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "
\n", "\n", @@ -1862,8 +2143,12 @@ }, { "cell_type": "code", - "execution_count": 31, - "metadata": {}, + "execution_count": 30, + "metadata": { + "clear_cell": true, + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "gdf_combined[\"exceedance\"] = gdf_combined[\"no2\"] > 40" @@ -1871,8 +2156,12 @@ }, { "cell_type": "code", - "execution_count": 32, - "metadata": {}, + "execution_count": 31, + "metadata": { + "clear_cell": true, + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "exceedances_muni = gdf_combined.groupby(\"NAAM\")[\"exceedance\"].mean() * 100" @@ -1880,8 +2169,16 @@ }, { "cell_type": "code", - "execution_count": 33, - "metadata": {}, + "execution_count": 32, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -1900,7 +2197,7 @@ "Name: exceedance, dtype: float64" ] }, - "execution_count": 33, + "execution_count": 32, "metadata": {}, "output_type": "execute_result" } @@ -1911,7 +2208,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "## Combining with Land Use data\n", "\n", @@ -1924,7 +2224,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "
\n", "\n", @@ -1937,15 +2240,26 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "With rasterio:" ] }, { "cell_type": "code", - "execution_count": 34, - "metadata": {}, + "execution_count": 33, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "name": "stdout", @@ -1979,15 +2293,26 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "With xarray:" ] }, { "cell_type": "code", - "execution_count": 35, - "metadata": {}, + "execution_count": 34, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -2356,7 +2681,7 @@ " nodatavals: (-128.0,)\n", " scales: (1.0,)\n", " offsets: (0.0,)\n", - " AREA_OR_POINT: Area
" + " AREA_OR_POINT: Area
" ], "text/plain": [ "\n", @@ -2376,7 +2701,7 @@ " AREA_OR_POINT: Area" ] }, - "execution_count": 35, + "execution_count": 34, "metadata": {}, "output_type": "execute_result" } @@ -2390,16 +2715,24 @@ }, { "cell_type": "code", - "execution_count": 36, - "metadata": {}, + "execution_count": 35, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 36, + "execution_count": 35, "metadata": {}, "output_type": "execute_result" }, @@ -2422,7 +2755,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "The goal is now to to query from the raster file the value of the land cover class for each of the measurement locations. This can be done with the `rasterstats` package and with the point locations of our GeoDataFrame. But first, we need to ensure that both our datasets are using the same CRS. In this case, it's easiest to reproject the point locations to the CRS of the raster file.\n", "\n", @@ -2444,8 +2780,16 @@ }, { "cell_type": "code", - "execution_count": 37, - "metadata": {}, + "execution_count": 36, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -2535,7 +2879,7 @@ "4 192879 facade 25.6 51.19922 4.461859 POINT (3934326.401 3135565.137)" ] }, - "execution_count": 37, + "execution_count": 36, "metadata": {}, "output_type": "execute_result" } @@ -2547,7 +2891,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "
\n", "\n", @@ -2573,8 +2920,12 @@ }, { "cell_type": "code", - "execution_count": 38, - "metadata": {}, + "execution_count": 37, + "metadata": { + "clear_cell": true, + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "import rasterstats" @@ -2582,8 +2933,12 @@ }, { "cell_type": "code", - "execution_count": 39, - "metadata": {}, + "execution_count": 38, + "metadata": { + "clear_cell": true, + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "gdf['land_use'] = rasterstats.point_query(gdf_raster.geometry, \"data/CLC2018_V2020_20u1_flanders.tif\", interpolate='nearest')" @@ -2591,8 +2946,16 @@ }, { "cell_type": "code", - "execution_count": 40, - "metadata": {}, + "execution_count": 39, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -2625,7 +2988,7 @@ "Name: land_use, dtype: int64" ] }, - "execution_count": 40, + "execution_count": 39, "metadata": {}, "output_type": "execute_result" } @@ -2636,7 +2999,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "As you can see, we have obtained a large variety of land cover classes. To make this more practical to work with, we a) want to convert the numbers into a class name, and b) reduce the number of classes.\n", "\n", @@ -2663,17 +3029,12 @@ }, { "cell_type": "code", - "execution_count": 41, - "metadata": {}, - "outputs": [], - "source": [ - "legend = pd.read_csv(\"data/CLC2018_V2018_legend_grouped.csv\")" - ] - }, - { - "cell_type": "code", - "execution_count": 42, - "metadata": {}, + "execution_count": 40, + "metadata": { + "clear_cell": true, + "deletable": true, + "editable": true + }, "outputs": [ { "data": { @@ -3109,26 +3470,33 @@ "43 Water bodies " ] }, - "execution_count": 42, + "execution_count": 40, "metadata": {}, "output_type": "execute_result" } ], "source": [ + "legend = pd.read_csv(\"data/CLC2018_V2018_legend_grouped.csv\")\n", "legend" ] }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "Convert the \"land_use\" integer values to a column with land use class names:" ] }, { "cell_type": "code", - "execution_count": 43, - "metadata": {}, + "execution_count": 41, + "metadata": { + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "value_to_group = dict(zip(legend['value'], legend['group']))" @@ -3136,8 +3504,11 @@ }, { "cell_type": "code", - "execution_count": 44, - "metadata": {}, + "execution_count": 42, + "metadata": { + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "gdf['land_use_class'] = gdf['land_use'].replace(value_to_group)" @@ -3145,9 +3516,16 @@ }, { "cell_type": "code", - "execution_count": 45, - "metadata": {}, - "outputs": [ + "execution_count": 43, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, + "outputs": [ { "data": { "text/plain": [ @@ -3164,7 +3542,7 @@ "Name: land_use_class, dtype: int64" ] }, - "execution_count": 45, + "execution_count": 43, "metadata": {}, "output_type": "execute_result" } @@ -3175,7 +3553,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "Now we have the land use data, let's explore the air quality in relation to this land use.\n", "\n", @@ -3203,8 +3584,11 @@ }, { "cell_type": "code", - "execution_count": 46, - "metadata": {}, + "execution_count": 44, + "metadata": { + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "counts = gdf['land_use_class'].value_counts()" @@ -3212,8 +3596,11 @@ }, { "cell_type": "code", - "execution_count": 47, - "metadata": {}, + "execution_count": 45, + "metadata": { + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "frequent_categories = counts[counts > 50].index" @@ -3221,8 +3608,11 @@ }, { "cell_type": "code", - "execution_count": 48, - "metadata": {}, + "execution_count": 46, + "metadata": { + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "subset = gdf[gdf[\"land_use_class\"].isin(frequent_categories)]" @@ -3230,8 +3620,15 @@ }, { "cell_type": "code", - "execution_count": 49, - "metadata": {}, + "execution_count": 47, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -3247,7 +3644,7 @@ "Name: no2, dtype: float64" ] }, - "execution_count": 49, + "execution_count": 47, "metadata": {}, "output_type": "execute_result" } @@ -3258,7 +3655,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "
\n", "\n", @@ -3279,8 +3679,12 @@ }, { "cell_type": "code", - "execution_count": 50, - "metadata": {}, + "execution_count": 48, + "metadata": { + "clear_cell": true, + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "import seaborn" @@ -3288,8 +3692,16 @@ }, { "cell_type": "code", - "execution_count": 51, - "metadata": {}, + "execution_count": 49, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -3297,7 +3709,7 @@ "" ] }, - "execution_count": 51, + "execution_count": 49, "metadata": {}, "output_type": "execute_result" }, @@ -3320,15 +3732,26 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "Tweaking the figure a bit more (not asked in the exercise, but uncomment and run to see):" ] }, { "cell_type": "code", - "execution_count": 52, - "metadata": {}, + "execution_count": 50, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -3358,14 +3781,20 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "The dense urban areas and areas close to large roads clearly have higher concentrations on average. On the countryside (indicated by \"agricultural\" areas) much lower concentrations are observed." ] }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "## A focus on Gent\n", "\n", @@ -3374,8 +3803,11 @@ }, { "cell_type": "code", - "execution_count": 53, - "metadata": {}, + "execution_count": 51, + "metadata": { + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "gent = muni[muni[\"NAAM\"] == \"Gent\"].geometry.item()" @@ -3383,8 +3815,15 @@ }, { "cell_type": "code", - "execution_count": 54, - "metadata": {}, + "execution_count": 52, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -3392,10 +3831,10 @@ "" ], "text/plain": [ - "" + "" ] }, - "execution_count": 54, + "execution_count": 52, "metadata": {}, "output_type": "execute_result" } @@ -3406,7 +3845,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "
\n", "\n", @@ -3423,8 +3865,16 @@ }, { "cell_type": "code", - "execution_count": 55, - "metadata": {}, + "execution_count": 53, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -3432,10 +3882,10 @@ "" ], "text/plain": [ - "" + "" ] }, - "execution_count": 55, + "execution_count": 53, "metadata": {}, "output_type": "execute_result" } @@ -3447,7 +3897,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "
\n", "\n", @@ -3469,8 +3922,12 @@ }, { "cell_type": "code", - "execution_count": 56, - "metadata": {}, + "execution_count": 54, + "metadata": { + "clear_cell": true, + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "gdf_gent = gdf_lambert[gdf_lambert.within(gent_region)]" @@ -3478,8 +3935,16 @@ }, { "cell_type": "code", - "execution_count": 57, - "metadata": {}, + "execution_count": 55, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -3487,7 +3952,7 @@ "1291" ] }, - "execution_count": 57, + "execution_count": 55, "metadata": {}, "output_type": "execute_result" } @@ -3498,15 +3963,25 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "Alternatively, we can also use the `geopandas.clip()` function. For points there is not much difference with the method above, but for lines or polygons, it will actually \"clip\" the geometries, i.e. removing the parts that fall outside of the specified region (in addition, this method also uses a spatial index under the hood and will typically be faster for large datasets):" ] }, { "cell_type": "code", - "execution_count": 58, - "metadata": {}, + "execution_count": 56, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -3514,7 +3989,7 @@ "1291" ] }, - "execution_count": 58, + "execution_count": 56, "metadata": {}, "output_type": "execute_result" } @@ -3526,7 +4001,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "
\n", "\n", @@ -3546,8 +4024,12 @@ }, { "cell_type": "code", - "execution_count": 59, - "metadata": {}, + "execution_count": 57, + "metadata": { + "clear_cell": true, + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "import contextily" @@ -3555,8 +4037,16 @@ }, { "cell_type": "code", - "execution_count": 60, - "metadata": {}, + "execution_count": 58, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -3580,19 +4070,30 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "Further zooming in on the city center (not asked in exercise, but uncomment and run to see):" ] }, { "cell_type": "code", - "execution_count": 61, - "metadata": {}, + "execution_count": 59, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -3613,7 +4114,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "## Combining with OpenStreetMap information\n", "\n", @@ -3624,7 +4128,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "
\n", "\n", @@ -3639,17 +4146,12 @@ }, { "cell_type": "code", - "execution_count": 62, - "metadata": {}, - "outputs": [], - "source": [ - "streets = geopandas.read_file(\"data/osm_network_gent.gpkg\")" - ] - }, - { - "cell_type": "code", - "execution_count": 63, - "metadata": {}, + "execution_count": 60, + "metadata": { + "clear_cell": true, + "deletable": true, + "editable": true + }, "outputs": [ { "data": { @@ -3734,19 +4236,24 @@ "4 LINESTRING (3.71154 51.04173, 3.71149 51.04166... " ] }, - "execution_count": 63, + "execution_count": 60, "metadata": {}, "output_type": "execute_result" } ], "source": [ + "streets = geopandas.read_file(\"data/osm_network_gent.gpkg\")\n", "streets.head()" ] }, { "cell_type": "code", - "execution_count": 64, - "metadata": {}, + "execution_count": 61, + "metadata": { + "clear_cell": true, + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "streets = streets.to_crs(\"EPSG:31370\")" @@ -3754,8 +4261,16 @@ }, { "cell_type": "code", - "execution_count": 65, - "metadata": {}, + "execution_count": 62, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -3763,7 +4278,7 @@ "" ] }, - "execution_count": 65, + "execution_count": 62, "metadata": {}, "output_type": "execute_result" }, @@ -3786,8 +4301,16 @@ }, { "cell_type": "code", - "execution_count": 66, - "metadata": {}, + "execution_count": 63, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -3795,7 +4318,7 @@ "" ] }, - "execution_count": 66, + "execution_count": 63, "metadata": {}, "output_type": "execute_result" }, @@ -3818,7 +4341,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "(Note: for interactively exploring such data, there are better solutions as the GeoPandas `.plot()` method, such as opening the data in QGIS, or using an interactive visualization library)\n", "\n", @@ -3827,7 +4353,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "
\n", "\n", @@ -3848,15 +4377,21 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "We take the first point geometry in the Gent dataset:" ] }, { "cell_type": "code", - "execution_count": 67, - "metadata": {}, + "execution_count": 64, + "metadata": { + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "point = gdf_gent[\"geometry\"].iloc[0]" @@ -3864,8 +4399,15 @@ }, { "cell_type": "code", - "execution_count": 68, - "metadata": {}, + "execution_count": 65, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -3873,10 +4415,10 @@ "" ], "text/plain": [ - "" + "" ] }, - "execution_count": 68, + "execution_count": 65, "metadata": {}, "output_type": "execute_result" } @@ -3887,8 +4429,16 @@ }, { "cell_type": "code", - "execution_count": 69, - "metadata": {}, + "execution_count": 66, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -3907,7 +4457,7 @@ "Length: 27203, dtype: float64" ] }, - "execution_count": 69, + "execution_count": 66, "metadata": {}, "output_type": "execute_result" } @@ -3918,8 +4468,16 @@ }, { "cell_type": "code", - "execution_count": 70, - "metadata": {}, + "execution_count": 67, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -3927,7 +4485,7 @@ "0.18067199114036214" ] }, - "execution_count": 70, + "execution_count": 67, "metadata": {}, "output_type": "execute_result" } @@ -3938,8 +4496,16 @@ }, { "cell_type": "code", - "execution_count": 71, - "metadata": {}, + "execution_count": 68, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -3947,7 +4513,7 @@ "5831" ] }, - "execution_count": 71, + "execution_count": 68, "metadata": {}, "output_type": "execute_result" } @@ -3959,8 +4525,16 @@ }, { "cell_type": "code", - "execution_count": 72, - "metadata": {}, + "execution_count": 69, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -3972,7 +4546,7 @@ "Name: 5831, dtype: object" ] }, - "execution_count": 72, + "execution_count": 69, "metadata": {}, "output_type": "execute_result" } @@ -3983,8 +4557,16 @@ }, { "cell_type": "code", - "execution_count": 73, - "metadata": {}, + "execution_count": 70, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -3992,7 +4574,7 @@ "'residential'" ] }, - "execution_count": 73, + "execution_count": 70, "metadata": {}, "output_type": "execute_result" } @@ -4003,8 +4585,16 @@ }, { "cell_type": "code", - "execution_count": 74, - "metadata": {}, + "execution_count": 71, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -4012,7 +4602,7 @@ "'residential'" ] }, - "execution_count": 74, + "execution_count": 71, "metadata": {}, "output_type": "execute_result" } @@ -4023,7 +4613,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "We now want to repeat the above analysis for each measurement location. So let's start with writing a reusable function.\n", "\n", @@ -4049,8 +4642,12 @@ }, { "cell_type": "code", - "execution_count": 75, - "metadata": {}, + "execution_count": 72, + "metadata": { + "clear_cell": true, + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "def closest_road_type(point, streets):\n", @@ -4062,8 +4659,16 @@ }, { "cell_type": "code", - "execution_count": 76, - "metadata": {}, + "execution_count": 73, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -4071,7 +4676,7 @@ "'residential'" ] }, - "execution_count": 76, + "execution_count": 73, "metadata": {}, "output_type": "execute_result" } @@ -4082,7 +4687,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "Now we can apply this function to each of the point locations. However, with this brute force method, applying it as is using `gdf_gent` and `streets` takes quite some time. We can speed up the distance calculation by reducing the number of linestrings in the `streets` dataframe to compare with.\n", "\n", @@ -4100,22 +4708,32 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "When running this, you can see it already takes a bit of time, even for the first 20 rows:" ] }, { "cell_type": "code", - "execution_count": 77, - "metadata": {}, + "execution_count": 74, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "CPU times: user 3.22 s, sys: 352 µs, total: 3.22 s\n", - "Wall time: 3.22 s\n" + "CPU times: user 4.58 s, sys: 1.17 ms, total: 4.58 s\n", + "Wall time: 4.6 s\n" ] }, { @@ -4144,7 +4762,7 @@ "Name: geometry, dtype: object" ] }, - "execution_count": 77, + "execution_count": 74, "metadata": {}, "output_type": "execute_result" } @@ -4155,8 +4773,12 @@ }, { "cell_type": "code", - "execution_count": 78, - "metadata": {}, + "execution_count": 75, + "metadata": { + "clear_cell": true, + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "streets_unioned = streets.dissolve(\"highway\").reset_index()" @@ -4164,8 +4786,12 @@ }, { "cell_type": "code", - "execution_count": 79, - "metadata": {}, + "execution_count": 76, + "metadata": { + "clear_cell": true, + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "gdf_gent[\"road_type\"] = gdf_gent.geometry.apply(lambda point: closest_road_type(point, streets_unioned))" @@ -4173,8 +4799,16 @@ }, { "cell_type": "code", - "execution_count": 80, - "metadata": {}, + "execution_count": 77, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -4277,7 +4911,7 @@ "54 tertiary " ] }, - "execution_count": 80, + "execution_count": 77, "metadata": {}, "output_type": "execute_result" } @@ -4288,8 +4922,16 @@ }, { "cell_type": "code", - "execution_count": 81, - "metadata": {}, + "execution_count": 78, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -4303,13 +4945,13 @@ "service 7\n", "track 5\n", "path 4\n", - "pedestrian 3\n", "footway 3\n", "cycleway 3\n", + "pedestrian 3\n", "Name: road_type, dtype: int64" ] }, - "execution_count": 81, + "execution_count": 78, "metadata": {}, "output_type": "execute_result" } @@ -4320,14 +4962,20 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "**Note!** We have been using a brute-force search for the closest street by calculating for each point the distance to all streets. This is a good exercise to learn the syntax, but there are however better methods for such \"nearest\" queries. See eg https://automating-gis-processes.github.io/site/notebooks/L3/nearest-neighbor-faster.html" ] }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "
\n", "\n", @@ -4349,9 +4997,19 @@ ] }, { - "cell_type": "code", - "execution_count": 82, + "cell_type": "markdown", "metadata": {}, + "source": [ + "Replace categories:" + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "metadata": { + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "mapping = {\n", @@ -4363,17 +5021,31 @@ }, { "cell_type": "code", - "execution_count": 83, - "metadata": {}, + "execution_count": 80, + "metadata": { + "clear_cell": true, + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "gdf_gent[\"road_type\"] = gdf_gent[\"road_type\"].replace(mapping)" ] }, { - "cell_type": "code", - "execution_count": 84, + "cell_type": "markdown", "metadata": {}, + "source": [ + "Filter categories:" + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "metadata": { + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "categories = [\"primary\", \"secondary\", \"tertiary\", \"residential\", \"pedestrian\"]" @@ -4381,8 +5053,12 @@ }, { "cell_type": "code", - "execution_count": 85, - "metadata": {}, + "execution_count": 82, + "metadata": { + "clear_cell": true, + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "subset = gdf_gent[gdf_gent[\"road_type\"].isin(categories)]" @@ -4390,8 +5066,16 @@ }, { "cell_type": "code", - "execution_count": 86, - "metadata": {}, + "execution_count": 83, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -4405,7 +5089,7 @@ "dtype: int64" ] }, - "execution_count": 86, + "execution_count": 83, "metadata": {}, "output_type": "execute_result" } @@ -4416,7 +5100,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "
\n", "\n", @@ -4429,8 +5116,16 @@ }, { "cell_type": "code", - "execution_count": 87, - "metadata": {}, + "execution_count": 84, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -4444,7 +5139,7 @@ "Name: no2, dtype: float64" ] }, - "execution_count": 87, + "execution_count": 84, "metadata": {}, "output_type": "execute_result" } @@ -4455,7 +5150,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "
\n", "\n", @@ -4468,8 +5166,12 @@ }, { "cell_type": "code", - "execution_count": 88, - "metadata": {}, + "execution_count": 85, + "metadata": { + "clear_cell": true, + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "import seaborn" @@ -4477,8 +5179,16 @@ }, { "cell_type": "code", - "execution_count": 89, - "metadata": {}, + "execution_count": 86, + "metadata": { + "clear_cell": true, + "collapsed": false, + "deletable": true, + "editable": true, + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { @@ -4486,7 +5196,7 @@ "" ] }, - "execution_count": 89, + "execution_count": 86, "metadata": {}, "output_type": "execute_result" }, @@ -4509,13 +5219,17 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "This analysis confirms that the NO2 concentration is clearly related to traffic!" ] } ], "metadata": { + "celltoolbar": "Nbtutor - export exercises", "kernelspec": { "display_name": "Python 3", "language": "python",