No description or website provided.
Python
Pull request Compare This branch is even with RicardoMoya:master.
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Failed to load latest commit information.
dataSet
.gitignore
DataFrame_Groupby.py
DataFrame_pivot_table.py
Example_MovieLens.py
MovieLens_ER.png
README.md
Series_vs_DataFrame.py

README.md

Ejemplo con la librería de Pandas / Examples with Pandas' Library

Spanish:

Para más información visitar las siguientes URLs:

  1. Parte I: Introducción a Pandas. (http://jarroba.com/pandas-python-ejemplos-parte-i-introduccion/)
  2. Parte II: DataFrame: Lectura y Escritura, Mergeo de DataFrame's y GroupBy. (http://jarroba.com/pandas-python-ejemplos-parte-ii-io-merge-groupby/)
  3. Parte III: Operaciones de "Pivot_table" con DataFrame's.(http://jarroba.com/pandas-python-ejemplos-parte-iii-pivot_table/)

Sort description in English:

In this project is going to make an example with pandas' library in Python.

Will see the differences between Series and DataFrame:

  • Series: Is a unidimensional array with indexation. Similar to dictionary.
  • DataFrame: Data structure similar to excel or SQL table.

For this example i used the "MovieLens" data set that contains information of users, films and ratings. We'll see how transform the Movielens data set to a DataFrame, and work with this structure similarly to work as a database.

alt movielensER

Prerequisites

Is necessary to install next libraries (with pip):

$ pip install pandas
$ pip install numpy