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update1
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pw2wang committed Oct 15, 2019
1 parent 5fd06df commit e4578eb
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6 changes: 6 additions & 0 deletions .ipynb_checkpoints/Untitled-checkpoint.ipynb
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{
"cells": [],
"metadata": {},
"nbformat": 4,
"nbformat_minor": 2
}
16 changes: 0 additions & 16 deletions Python/l_data.py

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18 changes: 0 additions & 18 deletions Python/l_hist.py

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19 changes: 0 additions & 19 deletions Python/l_plot.py

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13 changes: 0 additions & 13 deletions Python/l_serialaxes.py

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12 changes: 0 additions & 12 deletions Python/l_subwin.py

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182 changes: 0 additions & 182 deletions Python/loon.py

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8 changes: 5 additions & 3 deletions Python/Doxyfile → Python/loon/Doxyfile
Expand Up @@ -929,7 +929,9 @@ EXCLUDE_SYMLINKS = NO
# Note that the wildcards are matched against the file with absolute path, so to
# exclude all test directories for example use the pattern */test/*

EXCLUDE_PATTERNS =
EXCLUDE_PATTERNS = tk.py
EXCLUDE_PATTERNS += helper.py
EXCLUDE_PATTERNS += retrieve_name.py

# The EXCLUDE_SYMBOLS tag can be used to specify one or more symbol names
# (namespaces, classes, functions, etc.) that should be excluded from the
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# need to set EXTENSION_MAPPING for the extension otherwise the files are not
# properly processed by doxygen.

#INPUT_FILTER = ./py_filter.sh
INPUT_FILTER =

# The FILTER_PATTERNS tag can be used to specify filters on a per file pattern
# basis. Doxygen will compare the file name with each pattern and apply the
# filter if there is a match. The filters are a list of the form: pattern=filter
Expand All @@ -1000,7 +1002,7 @@ INPUT_FILTER =
# need to set EXTENSION_MAPPING for the extension otherwise the files are not
# properly processed by doxygen.

FILTER_PATTERNS =
FILTER_PATTERNS = *.py=./py_filter.sh

# If the FILTER_SOURCE_FILES tag is set to YES, the input filter (if set using
# INPUT_FILTER) will also be used to filter the input files that are used for
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16 changes: 16 additions & 0 deletions Python/loon/__init__.py
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import sys
sys.path.append('./loon')
from l_data import *
from l_hist import *
from l_plot import *
from l_serialaxes import *
from l_subwin import *
from l_toplevel import *
from loon_class import *
from loonPlotFactory import *
from dataset import *
from graphutils import *
from l_graph import *
from l_plot3D import *
#__all__ = ["l_data","l_hist","l_plot","l_serialaxes",
# "l_subwin","l_toplevel","loonobject","loonPlotFactory"]
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29 changes: 29 additions & 0 deletions Python/loon/dataset.py
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import pandas as pd

## @var iris
# iris dataset
iris = pd.read_csv('./loon/datasets/iris.csv')

## @var olive
# olive dataset
olive = pd.read_csv('./loon/datasets/olive.csv')

## @var oliveAcids
# oliveAcids dataset
oliveAcids = pd.read_csv('./loon/datasets/oliveAcids.csv')


## @var oliveLocations
# oliveLocations dataset
oliveLocations = pd.read_csv('./loon/datasets/oliveLocations.csv')


## @var UsAndThem
# Data to re-create Hans Rosling's famous "Us and Them" animation
# @brief This data was sourced from https://www.gapminder.org/ and
# contains Population, Life Expectancy, Fertility, Income, and
# Geographic.Region information between 1962 and 2013 for 198 countries.
UsAndThem = pd.read_csv('./loon/datasets/UsAndThem.csv')


quakes = pd.read_csv('./loon/datasets/quakes.csv')

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