get aspect ratio of axes

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[愿得一人]
[愿得一人] 2020-12-06 11:49

Is there an easy and reliable way to determine the current aspect ratio of an axes when its aspect is set to \'auto\'?

The obvious thing to

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  •  鱼传尺愫
    2020-12-06 12:42

    From the docs, the aspect ratio is the ratio of data-to-display scaling units in the x- and y-axes. i.e., if there are 10 data units per display in the y-direction and 1 data unit per display unit in the x-direction, the ratio would be 1/10. The circle would be 10 times wider than it is tall. This corresponds to the statement that an aspect of num does the following:

    a circle will be stretched such that the height is num times the width. aspect=1 is the same as aspect=’equal’.

    Based on the same original piece of code that you looked at (matplotlib.axes._base.adjust_aspect, starting around line 1405), I think we can come up with a simplified formula as long as you only need this ratio for linear Cartesian axes. Things get complicated with polar and logarithmic axes, so I will ignore them.

    To reiterate the formula:

    (x_data_unit / x_display_unit) / (y_data_unit / y_display_unit)
    

    This happens to be the same as

    (y_display_unit / x_display_unit) / (y_data_unit / x_data_unit)
    

    This last formulation is just the ratio of the display sizes in the two directions divided by the ratio of the x and y limits. Note that ax.get_data_ratio does NOT apply here because that returns the results for the actual data bounds, not the axis limits at all:

    from operator import sub
    def get_aspect(ax):
        # Total figure size
        figW, figH = ax.get_figure().get_size_inches()
        # Axis size on figure
        _, _, w, h = ax.get_position().bounds
        # Ratio of display units
        disp_ratio = (figH * h) / (figW * w)
        # Ratio of data units
        # Negative over negative because of the order of subtraction
        data_ratio = sub(*ax.get_ylim()) / sub(*ax.get_xlim())
    
        return disp_ratio / data_ratio
    

    Now let's test it:

    from matplotlib import pyplot as plt
    fig, ax = plt.subplots()
    ax.set_aspect('equal')
    print('{} == {}'.format(ax.get_aspect(), get_aspect(ax)))
    ax.set_aspect(10)
    print('{} == {}'.format(ax.get_aspect(), get_aspect(ax)))
    

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