.. author:: Tony S Yu

Progress

Initial changes added in 1.3. Conversion of the gallery is on-going.

#1623, #1924, #2181

PR #2474 <https://github.com/matplotlib/matplotlib/pull/2474>_ demonstrates a single example being cleaned up and moved to the appropriate section.

Reorganizing the matplotlib plot gallery would greatly simplify navigation of the gallery. In addition, examples should be cleaned-up and simplified for clarity.

The matplotlib gallery was recently set up to split examples up into sections. As discussed in that PR [1], the current example sections (api, pylab_examples) aren't terribly useful to users: New sections in the gallery would help users find relevant examples.

These sections would also guide a cleanup of the examples: Initially, all the current examples would remain and be listed under their current directories. Over time, these examples could be cleaned up and moved into one of the new sections.

This process allows users to easily identify examples that need to be cleaned up; i.e. anything in the api and pylab_examples directories.

1. Create new gallery sections. [Done]
2. Clean up examples and move them to the new gallery sections (over the course of many PRs and with the help of many users/developers). [In progress]

The naming of sections is critical and will guide the clean-up effort. The current sections are:

• Lines, bars, and markers (more-or-less 1D data)
• Shapes and collections
• Statistical plots
• Images, contours, and fields
• Pie and polar charts: Round things
• Color
• Text, labels, and annotations
• Ticks and spines
• Subplots, axes, and figures
• Specialty plots (e.g., sankey, radar, tornado)
• Showcase (plots with tweaks to make them publication-quality)
• separate sections for toolboxes (already exists: 'mplot3d', 'axes_grid', 'units', 'widgets')

These names are certainly up for debate. As these sections grow, we should reevaluate them and split them up as necessary.

The current examples in the api and pylab_examples sections of the gallery would remain in those directories until they are cleaned up. After clean-up, they would be moved to one of the new gallery sections described above. "Clean-up" should involve:

• PEP8 clean-ups (running flake8, or a similar checker, is highly recommended)

• Commented-out code should be removed.

• Add introductory sentence or paragraph in the main docstring. See 6d1b8a2.

• Replace uses of pylab interface with pyplot (+ numpy, etc.). See c25ef1e

• Remove shebang line, e.g.:

  #!/usr/bin/env python

• Use consistent imports. In particular:

  import numpy as np

  import matplotlib.pyplot as plt

  Avoid importing specific functions from these modules (e.g. from numpy import sin)

• Each example should focus on a specific feature (excluding showcase examples, which will show more "polished" plots). Tweaking unrelated to that feature should be removed. See f7b2217, e57b5fc, and 1458aa8

Use of pylab should be demonstrated/discussed on a dedicated help page instead of the gallery examples.

Note: When moving an existing example, you should search for references to that example. For example, the API documentation for axes.py and pyplot.py may use these examples to generate plots. Use your favorite search tool (e.g., grep, ack, grin, pss) to search the matplotlib package. See 2dc9a46 and aa6b410

• Provide links (both ways) between examples and API docs for the methods/objects used. (issue #2222)
• Use plt.subplots (note trailing "s") in preference over plt.subplot.
• Rename the example to clarify it's purpose. For example, the most basic demo of imshow might be imshow_demo.py, and one demonstrating different interpolation settings would be imshow_demo_interpolation.py (not imshow_demo2.py).
• Split up examples that try to do too much. See 5099675 and fc2ab07
• Delete examples that don't show anything new.
• Some examples exercise esoteric features for unit testing. These tweaks should be moved out of the gallery to an example in the unit directory located in the root directory of the package.
• Add plot titles to clarify intent of the example. See bd2b13c

The website for each Matplotlib version is readily accessible, so users who want to refer to old examples can still do so.

Tagging examples will also help users search the example gallery. Although tags would be a big win for users with specific goals, the plot gallery will remain the entry point to these examples, and sections could really help users navigate the gallery. Thus, tags are complementary to this reorganization.