Accurately postioning axes within a matplotlib figure

Correctly positioning axes in matplotlib can be a long and iterative process. Using the graphical interface utility axpositioning.adjust_figure_layout(fig) can ease the process.

Features

1. Move and resize existing axes
2. Join, split and align axes
3. Change the used reference point of an axes bounds when editing
4. Create new axes by manually defining the position and size, clicking in the figure or using GridSpec settings
5. Change the size of the figure
6. Preview the updated positions of the empty placeholder axes during editing
7. Close to update the axes positions and size of the original figure

Examples

Run from the command line

python -m axpositioning

Adjust figure layout using gui in script

from matplotlib import pyplot as plt
import axpositioning

fig = plt.figure()
ax = fig.add_subplot(111)
ax.plot([0, 1], [0, 1])

axpositioning.adjust_figure_layout(fig)

plt.show()

Adjust axes position using anchors and plotutils.PositioningAxes

from matplotlib import pyplot as plt
import axpositioning

fig = plt.figure()
ax = fig.add_axes([.1, .1, .8, .8])
p = axpositioning.PositioningAxes.from_axes(fig, ax, anchor='C')

p.set_anchor('C')
print(p.x, p.y)

p.set_anchor('SW')
print(p.x, p.y)

p.set_anchor('NE')
print(p.x, p.y)