This PR pins matplotlib to the latest release 3.1.1.
Changelog
### 3.1.1
```
The first bug-fix release of the 3.1 series
* Locator.nonsingular return order API change
Lots of backports of various bug fixes.
```
### 2.1.0
```
This is the second minor release in the Matplotlib 2.x series and the first
release with major new features since 1.5.
This release contains approximately 2 years worth of work by 275 contributors
across over 950 pull requests. Highlights from this release include:
- support for string categorical values
- export of animations to interactive javascript widgets
- major overhaul of polar plots
- reproducible output for ps/eps, pdf, and svg backends
- performance improvements in drawing lines and images
- GUIs show a busy cursor while rendering the plot
along with many other enhancements and bug fixes.
```
### 2.0.0
```
Major release of Matplotlib
This release completely overhauls the default style of the plots.
Highlights include:
- 'viridis' is default color map instead of jet.
- Modernized the default color cycle.
- Many more functions respect the color cycle.
- Line dash patterns scale with linewidth.
- Change default font to DejaVu, now supports most Western
alphabets (including Greek, Cyrillic and Latin with diacritics),
math symbols and emoji out of the box.
- Faster text rendering.
- Improved auto-limits.
- Ticks out and only on the right and bottom spines by default.
- Improved auto-ticking, particularly for log scales and dates.
- Improved image support (`imshow` respects scales and eliminated a
class of artifacts).
```
### 2.0.0rc2
```
This is the second and final planned release candidate for mpl v2.0
This release includes:
- Bug fixes and documentation changes
- Expanded API on plot_surface and plot_wireframe
- Pin font size at text creation time
- Suppress fc-cache warning unless it takes more than 5s
```
### 2.0.0rc1
```
This is the first release candidate for mpl v2.0
This release includes:
- A re-implementation of the way margins are handled during auto
scaling to allow artists to 'stick' to an edge of the Axes
- Improvements to the ticking with log and symlog scales
- Deprecation of the finance module. This will be spun off into a stand-alone package
- Deprecation of the 'hold' machinery
- Bumped the minimum numpy version to 1.7
- Standardization of hatch width and appearance across backends
- Made threshold for triggering 'offset' in `ScalarFormatter` configurable
and default to 4 (plotting against years should just work now)
- Default encoding for mp4 is now h264
- `fill_between` and `fill_betweenx` now use the color cycle
- Default alignment of bars changed from 'edge' to 'center'
- Bug and documentation fixes
```
### 2.0.0b4
```
Fourth and final beta release
```
### 2.0.0b3
```
Third beta for v2.0.0 release
This tag includes several critical bug fixes and updates the dash patterns.
```
### 1.5.3
```
This release contains a few critical bug fixes:
- eliminate fatal exceptions with Qt5.7
- memory leak in the contour code
- keyboard interaction bug with nbagg
- automatic integration with the ipython event loop (if running) which
fixes 'naive' integration for IPython 5+
```
Links
- PyPI: https://pypi.org/project/matplotlib
- Changelog: https://pyup.io/changelogs/matplotlib/
- Homepage: https://matplotlib.org
This PR pins matplotlib to the latest release 3.1.1.
Changelog
### 3.1.1 ``` The first bug-fix release of the 3.1 series * Locator.nonsingular return order API change Lots of backports of various bug fixes. ``` ### 2.1.0 ``` This is the second minor release in the Matplotlib 2.x series and the first release with major new features since 1.5. This release contains approximately 2 years worth of work by 275 contributors across over 950 pull requests. Highlights from this release include: - support for string categorical values - export of animations to interactive javascript widgets - major overhaul of polar plots - reproducible output for ps/eps, pdf, and svg backends - performance improvements in drawing lines and images - GUIs show a busy cursor while rendering the plot along with many other enhancements and bug fixes. ``` ### 2.0.0 ``` Major release of Matplotlib This release completely overhauls the default style of the plots. Highlights include: - 'viridis' is default color map instead of jet. - Modernized the default color cycle. - Many more functions respect the color cycle. - Line dash patterns scale with linewidth. - Change default font to DejaVu, now supports most Western alphabets (including Greek, Cyrillic and Latin with diacritics), math symbols and emoji out of the box. - Faster text rendering. - Improved auto-limits. - Ticks out and only on the right and bottom spines by default. - Improved auto-ticking, particularly for log scales and dates. - Improved image support (`imshow` respects scales and eliminated a class of artifacts). ``` ### 2.0.0rc2 ``` This is the second and final planned release candidate for mpl v2.0 This release includes: - Bug fixes and documentation changes - Expanded API on plot_surface and plot_wireframe - Pin font size at text creation time - Suppress fc-cache warning unless it takes more than 5s ``` ### 2.0.0rc1 ``` This is the first release candidate for mpl v2.0 This release includes: - A re-implementation of the way margins are handled during auto scaling to allow artists to 'stick' to an edge of the Axes - Improvements to the ticking with log and symlog scales - Deprecation of the finance module. This will be spun off into a stand-alone package - Deprecation of the 'hold' machinery - Bumped the minimum numpy version to 1.7 - Standardization of hatch width and appearance across backends - Made threshold for triggering 'offset' in `ScalarFormatter` configurable and default to 4 (plotting against years should just work now) - Default encoding for mp4 is now h264 - `fill_between` and `fill_betweenx` now use the color cycle - Default alignment of bars changed from 'edge' to 'center' - Bug and documentation fixes ``` ### 2.0.0b4 ``` Fourth and final beta release ``` ### 2.0.0b3 ``` Third beta for v2.0.0 release This tag includes several critical bug fixes and updates the dash patterns. ``` ### 1.5.3 ``` This release contains a few critical bug fixes: - eliminate fatal exceptions with Qt5.7 - memory leak in the contour code - keyboard interaction bug with nbagg - automatic integration with the ipython event loop (if running) which fixes 'naive' integration for IPython 5+ ```Links
- PyPI: https://pypi.org/project/matplotlib - Changelog: https://pyup.io/changelogs/matplotlib/ - Homepage: https://matplotlib.org