mplotutils

helper functions for cartopy and matplotlib

fix layout for cartopy axes and colorbars

This package solves two main problems for plots with maps created with cartopy. Because these plots have a fixed aspect ratio (1) colorbars will extend beyond the visible axes and (2) the distance between individual subplots will seemingly be random.

subplots

Without mplotutils | With mplotutils :-------------------------:|:-------------------------: <img src="docs/example_no_mpu.png" alt="Without mplotutils" width="250"/> | <img src="docs/example_mpu.png" alt="With mplotutils" width="250"/>

The code to create the examples can be found in docs/example.py.

axes_grid

Matplotlib's axes_grid can also display data with a fixed aspect ratio. However, the size of the figure will not be correct. mplotutils (from version 0.6) can also help with this

| Axes grid - without mplotutils | Axes grid - with mplotutils | | :--------------------------------: | :-------------------------: | | <img src="docs/example_axes_grid_no_mpu.png" alt="Without mplotutils" width="250"/> | <img src="docs/example_axes_grid_mpu.png" alt="With mplotutils" width="250"/> |

The code to create the example can be found in docs/example_axes_grid.py.

hatching

mplotutils (from version 0.6) includes helper functions to draw hatches and add stippling:

<img src="docs/example_hatch.png" alt="mplotutils hatching" width="350"/>

The code to create the example can be found in docs/example_hatch.py.

Installation

See docs/installation.md.

Changelog

See CHANGELOG.md.

History

This package bases on functions developed for the python visualisation workshop at C2SM.