Setting plot border frame for two subplot containing MatPlotLib.Basemap contents

Question

As an illustration, I present a figure here to depict my question.

fig = plt.figure(figsize = (10,4))
ax1 = plt.subplot(121)
map =Basemap(llcrnrlon=x_map1,llcrnrlat=y_map1,urcrnrlon=x_map2,urcrnrlat=y_map2)
map.readshapefile('shapefile','shapefile',zorder =2,linewidth = 0)
for info, shape in zip(map.shapefile, map.shapefile):
    x, y = zip(*shape) 
    map.plot(x, y, marker=None,color='k',linewidth = 0.5)
plt.title("a")
ax2 = plt.subplot(122)
y_pos = [0.5,1,]
performance = [484.0,1080.0]
bars = plt.bar(y_pos, performance, align='center')
plt.title("b")

Due to the mapping setting is not consistent with the subplot(b). Thus, subplot(a) and subplot(b) has distinct board frame. In my opinion, the un-aligned borders are not pleasant for reader.

Is there any way to adjust the boarder size of subplot(b) in order to harmony as a whole figure.

This is my target:

Notice that, subplot(a) need to contain matplotlib.basemap elements.

Answer 1

Currently, your subplot on the left has an 'equal' aspect ratio, while for the other one it is automatic. Therefore, you have to manually set the aspect ratio of the subplot on the right:

def get_aspect(ax):
    xlim = ax.get_xlim()
    ylim = ax.get_ylim()
    aspect_ratio = abs((ylim[0]-ylim[1]) / (xlim[0]-xlim[1]))

    return aspect_ratio

ax2.set_aspect(get_aspect(ax1) / get_aspect(ax2))