Changelog
### 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
```
This previews the new default style and many bug-fixes. A full list of
the style changes will be collected for the final release.
In addition to the style change this release includes:
- overhaul of font handling/text rendering to be faster and clearer
- many new rcParams
- Agg based OSX backend
- optionally deterministic SVGs
- complete re-write of image handling code
- simplified color conversion
- specify colors in the global property cycle via `'C0'`,
`'C1'`... `'C9'`
- use the global property cycle more places (bar, stem, scatter)
There is a 'classic' style sheet which reproduces the 1.Y defaults:
import matplotlib.style as mstyle
mstyle.use('classic')
```
### 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+
```
### 1.5.2
```
Final planned release for the 1.5.x series.
```
### 1.5.1
```
First bug fix release for 1.5.x series.
```
### 1.5.0
```
This release of matplotlib has several major new features:
- Auto-redraw using the object-oriented API.
- Most plotting functions now support labeled data API.
- Color cycling has extended to all style properties.
- Four new perceptually uniform color maps, including the soon-to-be
default 'viridis'.
- More included style sheets.
- Many small plotting improvements.
- Proposed new framework for managing the GUI toolbar and tools.
```
### 1.4.3
```
This is the last planned bug-fix release in the 1.4 series.
Many bugs are fixed including:
- fixing drawing of edge-only markers in AGG
- fix run-away memory usage when using %inline or saving with
a tight bounding box with QuadMesh artists
- improvements to wx and tk gui backends
Additionally the webagg and nbagg backends were brought closer to
feature parity with the desktop backends with the addition of keyboard
and scroll events thanks to Steven Silvester.
```
Links
- PyPI: https://pypi.org/project/matplotlib
- Changelog: https://pyup.io/changelogs/matplotlib/
- Homepage: http://matplotlib.org
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Changelog
### 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 ``` This previews the new default style and many bug-fixes. A full list of the style changes will be collected for the final release. In addition to the style change this release includes: - overhaul of font handling/text rendering to be faster and clearer - many new rcParams - Agg based OSX backend - optionally deterministic SVGs - complete re-write of image handling code - simplified color conversion - specify colors in the global property cycle via `'C0'`, `'C1'`... `'C9'` - use the global property cycle more places (bar, stem, scatter) There is a 'classic' style sheet which reproduces the 1.Y defaults: import matplotlib.style as mstyle mstyle.use('classic') ``` ### 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+ ``` ### 1.5.2 ``` Final planned release for the 1.5.x series. ``` ### 1.5.1 ``` First bug fix release for 1.5.x series. ``` ### 1.5.0 ``` This release of matplotlib has several major new features: - Auto-redraw using the object-oriented API. - Most plotting functions now support labeled data API. - Color cycling has extended to all style properties. - Four new perceptually uniform color maps, including the soon-to-be default 'viridis'. - More included style sheets. - Many small plotting improvements. - Proposed new framework for managing the GUI toolbar and tools. ``` ### 1.4.3 ``` This is the last planned bug-fix release in the 1.4 series. Many bugs are fixed including: - fixing drawing of edge-only markers in AGG - fix run-away memory usage when using %inline or saving with a tight bounding box with QuadMesh artists - improvements to wx and tk gui backends Additionally the webagg and nbagg backends were brought closer to feature parity with the desktop backends with the addition of keyboard and scroll events thanks to Steven Silvester. ```Links
- PyPI: https://pypi.org/project/matplotlib - Changelog: https://pyup.io/changelogs/matplotlib/ - Homepage: http://matplotlib.org