Python Data Visualization Libraries



#Python Data Visualization Libraries
有名どころをMap、Tree・Newtowk、Chartの３種類に分類しました。

全体感はこちらを参照
-[The Python Graph Gallery](https://python-graph-gallery.com/)

## Map
- [ArcGIS](https://developers.arcgis.com/python/)
- [Cartopy](https://pypi.python.org/pypi/Cartopy/), [more](http://scitools.org.uk/cartopy/): A cartographic python library with matplotlib support for visualisation
- [descartes](https://pypi.python.org/pypi/descartes): Use geometric objects as matplotlib paths and patches
- [folium](https://pypi.python.org/pypi/folium/): Make beautiful maps with Leaflet.js & Python
- [GeoBases](https://pypi.python.org/pypi/GeoBases/): Data services and visualization
- [geoplotlib](https://pypi.python.org/pypi/geoplotlib/): python toolbox for geographic visualizations
- [Geoviews](https://pypi.python.org/pypi/geoviews), [more](http://geo.holoviews.org/): Stop plotting your data - annotate your data and let it visualize itself... on a map!
- [Kartograph](https://pypi.python.org/pypi/kartograph/), [more](http://kartograph.org/): Open Source Python library for generating semantic SVG maps
- [Khooshe](https://pypi.python.org/pypi/Khooshe/): Big GeoSptial Data Points Visualization Tool
- [mplleaflet](https://pypi.python.org/pypi/mplleaflet): Convert Matplotlib plots into Leaflet more maps
- [PyNGL](https://pypi.python.org/pypi/PyNGL/), [more](http://www.pyngl.ucar.edu/): PyNGL is a module used to visualize scientific data.
- [PyQGIS](http://docs.qgis.org/2.2/ja/docs/pyqgis_developer_cookbook/)
- [OSMnx](https://pypi.python.org/pypi/OSMnx)

## Tree・Network
- [ETE](http://etetoolkit.org/)
- [Graphviz](https://pypi.python.org/pypi/graphviz): Simple Python interface for Graphviz
- [graph-tool](https://pypi.python.org/pypi/graph-tool/), [more](https://graph-tool.skewed.de/): An efficient python module for manipulation and statistical analysis of graphs.
- [networkx](https://pypi.python.org/pypi/networkx/): Python package for creating and manipulating graphs and networks
- [py2cytoscape](https://pypi.python.org/pypi/py2cytoscape): Utilities to use Cytoscape and Cytoscape.js from Python
- [python-igraph](https://pypi.python.org/pypi/python-igraph), [more](http://igraph.org/python/): High performance graph data structures and algorithms

## Chart
- [altair](https://pypi.python.org/pypi/altair/): A declarative statistical visualization library for Python.
- [Bokeh](https://pypi.python.org/pypi/bokeh/), [more](http://bokeh.pydata.org/en/latest/): Interactive plots and applications in the browser from Python
- [eea.daviz](https://pypi.python.org/pypi/eea.daviz/): EEA DaViz is a plone product which uses Exhibit and Google Charts API to easily create data visualizations based on data from csv/tsv, JSON, SPARQL endpoints and more.
- [ggplot](https://pypi.python.org/pypi/ggplot/), [more](http://ggplot.yhathq.com/) : ggplot for python
- [gviz_data_table](https://pypi.python.org/pypi/gviz_data_table/1.0.2): Python API for Google Visualization
- [matplotlib](https://pypi.python.org/pypi/matplotlib/), [more](http://matplotlib.org/): Python plotting package
- [mayavi](https://pypi.python.org/pypi/mayavi/), [more](http://docs.enthought.com/mayavi/mayavi/): The Mayavi scientific data 3-dimensional visualizer.
- [pandas](https://pypi.python.org/pypi/pandas/), [more](http://pandas.pydata.org/pandas-docs/stable/visualization.html): Powerful data structures for data analysis, time series,and statistics
- [Pycha](https://pypi.python.org/pypi/pycha): A library for making charts with Python
- [Pygal](https://pypi.python.org/pypi/pygal/), [more](http://pygal.org/en/stable/): A python svg graph plotting library
- [prettyplotlib](https://pypi.python.org/pypi/prettyplotlib/), [more](https://github.com/olgabot/prettyplotlib/wiki/Installation): Painlessly create beautiful default `matplotlib` plots.
- [Plotly](https://pypi.python.org/pypi/plotly/), [more](https://plot.ly/): Python plotting library for collaborative, interactive, publication-quality graphs.
- [psyplot](https://pypi.python.org/pypi/psyplot/): Python package for interactive data visualization
- [seaborn](https://pypi.python.org/pypi/seaborn/), [More](https://stanford.edu/~mwaskom/software/seaborn/): Seaborn: statistical data visualization
- [Vega](https://pypi.python.org/pypi/vega),[More](https://altair-viz.github.io/): An IPython/Jupyter widget for Vega and Vega-Lite
- [VTK](http://www.vtk.org/)
- [vispy] (https://pypi.python.org/pypi/vispy/), [more](http://vispy.org/): Interactive visualization in Python