python - Remove boxes around imshow when sharing X axis -


when try stack several imshow elements, white space appears around them in vertical axis , titles appear close other figures.

i think both issues caused sharex=true not know how solve them.

fig.tight_layout() solves problem, incompatible colour bar on side , makes squares smaller others.

the code generates image is

# values [(ndarray, string)] fig, axes = plt.subplots(len(values), sharex=true) ax, (value, plot_name) in zip(axes, values):     im = ax.imshow(value, vmax=1.0, vmin=0.0)     ax.set_title(plot_name)  # (hack) apply on last 1 plt.xticks(range(values.shape[1]), ticks, rotation=90) plt.colorbar(im, ax=axes.ravel().tolist())  fig.savefig(output_name, bbox_inches="tight")

and example image is: enter image description here

unfortunately aspect of plots cannot set "equal" when sharex=true used. there might 2 solutions:

not sharing axes

sharing axes not necessary, since subplots anyway have same dimension. idea not share axes, remove ticklabels of upper plots.

import matplotlib.pyplot plt import numpy np  values = [np.random.rand(3,10) in range(3)]  fig, axes = plt.subplots(len(values)) i, (ax, value) in enumerate(zip(axes, values)):     im = ax.imshow(value, vmax=1.0, vmin=0.0)     ax.set_title("title")     ax.set_xticks(range(value.shape[1]))     if != len(axes)-1:         ax.set_xticklabels([])     else:         plt.setp(ax.get_xticklabels(), rotation=90)  plt.colorbar(im, ax=axes.ravel().tolist())   plt.show()

enter image description here

using imagegrid

using imagegrid mpl_toolkits.axes_grid1 module provides grid plots of equal aspects. can used follows. 1 main advantage here colorbar automatically same size subplots.

import numpy np import matplotlib.pyplot plt mpl_toolkits.axes_grid1 import imagegrid  values = [np.random.rand(3,10) in range(3)]  axes = imagegrid(plt.figure(), 111,                  nrows_ncols=(3,1),                  axes_pad=0.3,                  share_all=true,                  cbar_location="right",                  cbar_mode="single",                  cbar_size="2%",                  cbar_pad=0.15,                  label_mode = "l"                  )  i, (ax, value) in enumerate(zip(axes, values)):     im = ax.imshow(value, vmax=1.0, vmin=0.0)     ax.set_title("title")     ax.set_xticks(range(value.shape[1]))  plt.setp(ax.get_xticklabels(), rotation=90)  ax.cax.colorbar(im)  plt.show()

enter image description here


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