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| .. | | 03-May-2022 | - |
| animation/ | H | 03-May-2022 | - | 767 | 481 |
| axes_grid1/ | H | 03-May-2022 | - | 1,575 | 1,008 |
| axisartist/ | H | 03-May-2022 | - | 1,090 | 735 |
| color/ | H | 03-May-2022 | - | 652 | 370 |
| event_handling/ | H | 03-May-2022 | - | 1,821 | 1,325 |
| frontpage/ | H | 03-May-2022 | - | 120 | 91 |
| images_contours_and_fields/ | H | 03-May-2022 | - | 3,838 | 1,986 |
| lines_bars_and_markers/ | H | 03-May-2022 | - | 3,376 | 2,011 |
| misc/ | H | 03-May-2022 | - | 3,147 | 2,136 |
| mplot3d/ | H | 03-May-2022 | - | 1,557 | 974 |
| pie_and_polar_charts/ | H | 03-May-2022 | - | 601 | 284 |
| pyplots/ | H | 03-May-2022 | - | 1,164 | 602 |
| scales/ | H | 03-May-2022 | - | 565 | 372 |
| shapes_and_collections/ | H | 03-May-2022 | - | 1,340 | 724 |
| showcase/ | H | 03-May-2022 | - | 546 | 330 |
| specialty_plots/ | H | 03-May-2022 | - | 1,326 | 853 |
| statistics/ | H | 03-May-2022 | - | 2,036 | 1,185 |
| style_sheets/ | H | 03-May-2022 | - | 390 | 267 |
| subplots_axes_and_figures/ | H | 03-May-2022 | - | 2,341 | 1,355 |
| text_labels_and_annotations/ | H | 03-May-2022 | - | 3,578 | 2,374 |
| ticks_and_spines/ | H | 03-May-2022 | - | 1,499 | 875 |
| units/ | H | 03-May-2022 | - | 836 | 607 |
| user_interfaces/ | H | 03-May-2022 | - | 1,978 | 1,361 |
| userdemo/ | H | 03-May-2022 | - | 1,190 | 826 |
| widgets/ | H | 03-May-2022 | - | 1,040 | 646 |
| README | H A D | 08-May-2021 | 1.7 KiB | 43 | 29 |
README
1Matplotlib examples
2===================
3
4There are a variety of ways to use Matplotlib, and most of them are
5illustrated in the examples in this directory.
6
7Probably the most common way people use Matplotlib is with the
8procedural interface, which follows the MATLAB/IDL/Mathematica approach
9of using simple procedures like "plot" or "title" to modify the current
10figure. These examples are included in the "pylab_examples" directory.
11If you want to write more robust scripts, e.g., for production use or in
12a web application server, you will probably want to use the Matplotlib
13API for full control. These examples are found in the "api" directory.
14Below is a brief description of the different directories found here:
15
16 * animation - Dynamic plots, see the documentation at
17 http://matplotlib.org/api/animation_api.html
18
19 * axes_grid1 - Examples related to the axes_grid1 toolkit.
20
21 * axisartist - Examples related to the axisartist toolkit.
22
23 * event_handling - How to interact with your figure, mouse presses,
24 key presses, object picking, etc.
25
26 * misc - Miscellaneous examples. Some demos for loading and working
27 with record arrays.
28
29 * mplot3d - 3D examples.
30
31 * pylab_examples - The interface to Matplotlib similar to MATLAB.
32
33 * tests - Tests used by Matplotlib developers to check functionality.
34 (These tests are still sometimes useful, but mostly developers should
35 use the pytest tests which perform automatic image comparison.)
36
37 * units - Working with unit data and custom types in Matplotlib.
38
39 * user_interfaces - Using Matplotlib in a GUI application, e.g.,
40 Tkinter, wxPython, PyGObject, PyQt widgets.
41
42 * widgets - Examples using interactive widgets.
43