Skip to content

Navigation Menu

Sign in
Appearance settings

Search code, repositories, users, issues, pull requests...

Provide feedback

We read every piece of feedback, and take your input very seriously.

Saved searches

Use saved searches to filter your results more quickly
Appearance settings

Commit 8f461a2

Browse filesBrowse files
jenshnielsenjenshnielsen
committed
Move non bundled packages from toolkits to resources
1 parent 999786f commit 8f461a2
Copy full SHA for 8f461a2

File tree

Expand file treeCollapse file tree

2 files changed

+122
-127
lines changed
Filter options
Expand file treeCollapse file tree

2 files changed

+122
-127
lines changed

‎doc/mpl_toolkits/index.rst

Copy file name to clipboardExpand all lines: doc/mpl_toolkits/index.rst
-127Lines changed: 0 additions & 127 deletions
Original file line numberDiff line numberDiff line change
@@ -17,45 +17,6 @@ Toolkits
1717
Toolkits are collections of application-specific functions that extend matplotlib.
1818

1919

20-
.. _toolkits-mapping:
21-
22-
23-
Mapping Toolkits
24-
****************
25-
26-
27-
.. _toolkit_basemap:
28-
29-
Basemap
30-
=======
31-
(*Not distributed with matplotlib*)
32-
33-
Plots data on map projections, with continental and political
34-
boundaries, see `basemap <http://matplotlib.org/basemap>`_
35-
docs.
36-
37-
.. image:: /_static/basemap_contour1.png
38-
:height: 400px
39-
40-
41-
42-
Cartopy
43-
=======
44-
(*Not distributed with matplotlib*)
45-
46-
An alternative mapping library written for matplotlib ``v1.2`` and beyond.
47-
`Cartopy <http://scitools.org.uk/cartopy/docs/latest>`_ builds on top of
48-
matplotlib to provide object oriented map projection definitions and close
49-
integration with Shapely for powerful yet easy-to-use vector data processing
50-
tools. An example plot from the
51-
`Cartopy gallery <http://scitools.org.uk/cartopy/docs/latest/gallery.html>`_:
52-
53-
.. image:: /_static/cartopy_hurricane_katrina_01_00.png
54-
:height: 400px
55-
56-
57-
.. _toolkits-shipped:
58-
5920

6021
General Toolkits
6122
****************
@@ -96,17 +57,6 @@ distributed with matplotlib source.
9657
.. image:: /_static/demo_axes_grid.png
9758

9859

99-
.. _toolkit_mpldatacursor:
100-
101-
MplDataCursor
102-
=============
103-
(*Not distributed with matplotlib*)
104-
105-
`MplDataCursor <https://github.com/joferkington/mpldatacursor>`_ is a
106-
toolkit written by Joe Kington to provide interactive "data cursors"
107-
(clickable annotation boxes) for matplotlib.
108-
109-
11060
.. _toolkit_gtk:
11161

11262
GTK Tools
@@ -125,80 +75,3 @@ Excel Tools
12575
mpl_toolkits.exceltools provides some utilities for working with
12676
Excel. This toolkit ships with matplotlib, but requires
12777
`xlwt <http://pypi.python.org/pypi/xlwt>`_
128-
129-
130-
.. _toolkit_natgrid:
131-
132-
Natgrid
133-
=======
134-
(*Not distributed with matplotlib*)
135-
136-
mpl_toolkits.natgrid is an interface to natgrid C library for gridding
137-
irregularly spaced data. This requires a separate installation of the
138-
`natgrid toolkit <http://github.com/matplotlib/natgrid>`__.
139-
140-
141-
.. _toolkit_matplotlibvenn:
142-
143-
Matplotlib-Venn
144-
===============
145-
(*Not distributed with matplotlib*)
146-
147-
`Matplotlib-Venn <https://github.com/konstantint/matplotlib-venn>`_ provides a set of functions for plotting 2- and 3-set area-weighted (or unweighted) Venn diagrams.
148-
149-
mplstereonet
150-
===============
151-
(*Not distributed with matplotlib*)
152-
153-
`mplstereonet <https://github.com/joferkington/mplstereonet>`_ provides stereonets for plotting and analyzing orientation data in Matplotlib.
154-
155-
156-
.. _hl_plotting:
157-
158-
High-Level Plotting
159-
*******************
160-
161-
Several projects have started to provide a higher-level interface to
162-
matplotlib. These are independent projects.
163-
164-
.. _toolkit_seaborn:
165-
166-
seaborn
167-
=======
168-
(*Not distributed with matplotlib*)
169-
170-
`seaborn <http://web.stanford.edu/~mwaskom/software/seaborn>`_ is a high
171-
level interface for drawing statistical graphics with matplotlib. It
172-
aims to make visualization a central part of exploring and
173-
understanding complex datasets.
174-
175-
.. _toolkit_ggplot:
176-
177-
ggplot
178-
======
179-
(*Not distributed with matplotlib*)
180-
181-
`ggplot <https://github.com/yhat/ggplot>`_ is a port of the R ggplot2
182-
to python based on matplotlib.
183-
184-
185-
.. _toolkit_prettyplotlib:
186-
187-
prettyplotlib
188-
=============
189-
(*Not distributed with matplotlib*)
190-
191-
`prettyplotlib <https://olgabot.github.io/prettyplotlib>`_ is an extension
192-
to matplotlib which changes many of the defaults to make plots some
193-
consider more attractive.
194-
195-
196-
iTerm2 terminal backend
197-
=======================
198-
(*Not distributed with matplotlib*)
199-
200-
`matplotlib_iterm2 <https://github.com/oselivanov/matplotlib_iterm2>`_ is an
201-
external matplotlib backend uses iTerm2 nightly build inline image display
202-
feature.
203-
204-
.. image:: /_static/matplotlib_iterm2_demo.png

‎doc/resources/index.rst

Copy file name to clipboardExpand all lines: doc/resources/index.rst
+122Lines changed: 122 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -61,3 +61,125 @@
6161
* `Anatomy of Matplotlib - IPython Notebooks
6262
<https://github.com/WeatherGod/AnatomyOfMatplotlib>`_
6363
by Benjamin Root
64+
65+
=================
66+
Related Packages
67+
=================
68+
69+
Mapping Toolkits
70+
****************
71+
72+
73+
.. _toolkit_basemap:
74+
75+
Basemap
76+
=======
77+
78+
Plots data on map projections, with continental and political
79+
boundaries, see `basemap <http://matplotlib.org/basemap>`_
80+
docs.
81+
82+
.. image:: /_static/basemap_contour1.png
83+
:height: 400px
84+
85+
86+
87+
Cartopy
88+
=======
89+
90+
An alternative mapping library written for matplotlib ``v1.2`` and beyond.
91+
`Cartopy <http://scitools.org.uk/cartopy/docs/latest>`_ builds on top of
92+
matplotlib to provide object oriented map projection definitions and close
93+
integration with Shapely for powerful yet easy-to-use vector data processing
94+
tools. An example plot from the
95+
`Cartopy gallery <http://scitools.org.uk/cartopy/docs/latest/gallery.html>`_:
96+
97+
.. image:: /_static/cartopy_hurricane_katrina_01_00.png
98+
:height: 400px
99+
100+
101+
.. _toolkits-shipped:
102+
103+
104+
General Toolkits
105+
****************
106+
107+
108+
.. _toolkit_mpldatacursor:
109+
110+
MplDataCursor
111+
=============
112+
113+
`MplDataCursor <https://github.com/joferkington/mpldatacursor>`_ is a
114+
toolkit written by Joe Kington to provide interactive "data cursors"
115+
(clickable annotation boxes) for matplotlib.
116+
117+
118+
.. _toolkit_natgrid:
119+
120+
Natgrid
121+
=======
122+
123+
mpl_toolkits.natgrid is an interface to natgrid C library for gridding
124+
irregularly spaced data. This requires a separate installation of the
125+
`natgrid toolkit <http://github.com/matplotlib/natgrid>`__.
126+
127+
128+
.. _toolkit_matplotlibvenn:
129+
130+
Matplotlib-Venn
131+
===============
132+
133+
`Matplotlib-Venn <https://github.com/konstantint/matplotlib-venn>`_ provides a set of functions for plotting 2- and 3-set area-weighted (or unweighted) Venn diagrams.
134+
135+
mplstereonet
136+
===============
137+
138+
`mplstereonet <https://github.com/joferkington/mplstereonet>`_ provides stereonets for plotting and analyzing orientation data in Matplotlib.
139+
140+
141+
.. _hl_plotting:
142+
143+
High-Level Plotting
144+
*******************
145+
146+
Several projects have started to provide a higher-level interface to
147+
matplotlib. These are independent projects.
148+
149+
.. _toolkit_seaborn:
150+
151+
seaborn
152+
=======
153+
154+
`seaborn <http://web.stanford.edu/~mwaskom/software/seaborn>`_ is a high
155+
level interface for drawing statistical graphics with matplotlib. It
156+
aims to make visualization a central part of exploring and
157+
understanding complex datasets.
158+
159+
.. _toolkit_ggplot:
160+
161+
ggplot
162+
======
163+
164+
`ggplot <https://github.com/yhat/ggplot>`_ is a port of the R ggplot2
165+
to python based on matplotlib.
166+
167+
168+
.. _toolkit_prettyplotlib:
169+
170+
prettyplotlib
171+
=============
172+
173+
`prettyplotlib <https://olgabot.github.io/prettyplotlib>`_ is an extension
174+
to matplotlib which changes many of the defaults to make plots some
175+
consider more attractive.
176+
177+
178+
iTerm2 terminal backend
179+
=======================
180+
181+
`matplotlib_iterm2 <https://github.com/oselivanov/matplotlib_iterm2>`_ is an
182+
external matplotlib backend uses iTerm2 nightly build inline image display
183+
feature.
184+
185+
.. image:: /_static/matplotlib_iterm2_demo.png

0 commit comments

Comments
0 (0)
Morty Proxy This is a proxified and sanitized view of the page, visit original site.