python - Matplotlib: Constrain plot width while allowing flexible height -

what achive plots equal scale aspect ratio, , fixed width, dynamically chosen height.

to make more concrete, consider following plotting example:

import matplotlib mpl import matplotlib.pyplot plt  def example_figure(slope):     # create new figure     fig = plt.figure()     ax = fig.add_subplot(111)      # set axes equal aspect ratio     ax.set_aspect('equal')      # plot line given slope,     # starting origin     ax.plot([x * slope x in range(5)])      # output result     return fig 

this example code result in figures of different widths, depending on data:

example_figure(1).show() 

example_figure(2).show() 

matplotlib seems fit plots height, , chooses width accomodate aspect ratio. ideal outcome me opposite -- 2 plots above have same width, second plot twice tall first.

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bonus — difficulty level: gridspec

in long run, create grid in one of plots has fixed aspect ratio, , again align graphs exactly.

# create 2x1 grid import matplotlib.gridspec gridspec gs = gridspec.gridspec(2, 1)  # create overall graphic, containing # top , bottom figures fig = plt.figure() ax1 = fig.add_subplot(gs[0, :], aspect='equal') ax2 = fig.add_subplot(gs[1, :])  # plot lines before ax1.plot(range(5)) ax2.plot(range(5))  # show figure fig.show() 

the result this:

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so again, question is: how 1 create graphs vary flexibly in height depending on data, while having fixed width?

two points avoid potential misunderstandings:

• in above example, both graphs have same x-axis. cannot taken granted.
• i aware of height_ratios option in gridspec. can compute dimensions of data, , set ratios, unfortunately not control graphs directly, rather bounding boxes, (depending on axis labels), graphs of different widths still occur. ideally, plots' canvas aligned exactly.
• another unsolved question similar, more convoluted.

any ideas , suggestions welcome, , i'm happy specify question further, if required. thank considering this!

have tried fix width fig.set_figwidth()?