python - alignment of stacked subplots -


edit:

i found myself answer (see below) how align images within subplots:

for ax in axes:     ax.set_anchor('w')

edit end

i have data plot imshow. it's long in x direction, break multiple lines plotting slices of data in vertically stacked subplots. happy result last subplot (not wide others) want left aligned others.

the code below tested python 2.7.1 , matplotlib 1.2.x.

#! /usr/bin/env python  import matplotlib.pyplot plt import numpy np  x_slice = [0,3] y_slices = [[0,10],[10,20],[20,30],[30,35]] d = np.arange(35*3).reshape((35,3)).t vmin = d.min() vmax = d.max() fig, axes = plt.subplots(len(y_slices), 1)   i, s in enumerate(y_slices):     axes[i].imshow(          d[ x_slice[0]:x_slice[1], s[0]:s[1] ],          vmin=vmin, vmax=vmax,         aspect='equal',         interpolation='none'     )  plt.show()

results in

vertically stacked subplots, last centered

given tip zhenya played around axis.get/set_position. tried half width don't understand effect has

for ax in axes:     print ax.get_position()  p3 = axes[3].get_position().get_points() x0, y0 = p3[0] x1, y1 = p3[1] # [left, bottom, width, height] axes[3].set_position([x0, y0, (x1-x0)/2, y1-y0])

enter image description here

get_position gives me bbox of each subplot:

for ax in axes:     print ax.get_position()  bbox(array([[ 0.125     ,  0.72608696],             [ 0.9       ,  0.9       ]])) bbox(array([[ 0.125     ,  0.5173913 ],             [ 0.9       ,  0.69130435]])) bbox(array([[ 0.125     ,  0.30869565],             [ 0.9       ,  0.4826087 ]])) bbox(array([[ 0.125     ,  0.1       ],             [ 0.9       ,  0.27391304]]))

so subplots have exact same horizontal extent (0.125 0.9). judging narrower 4th subplot image inside subplot somehow centered.

let's @ axesimage objects:

for ax in axes:     print ax.images[0]  axesimage(80,348.522;496x83.4783) axesimage(80,248.348;496x83.4783) axesimage(80,148.174;496x83.4783) axesimage(80,48;496x83.4783)

again, same horizontal extent 4th image too.

next try axesimage.get_extent():

for ax in axes:     print ax.images[0].get_extent()  # [left, right, bottom, top] (-0.5, 9.5, 2.5, -0.5) (-0.5, 9.5, 2.5, -0.5) (-0.5, 9.5, 2.5, -0.5) (-0.5, 4.5, 2.5, -0.5)

there difference (right) left value same why 4th 1 centered then?

edit: centered...

axis.set_anchor works far (i hope don't have adjust manually now):

for ax in axes:     ax.set_anchor('w')

enter image description here


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