my_code_base.plot.utils¶

Functions¶

Module Contents¶

my_code_base.plot.utils.align_curves(ax1, y1, ax2, y2)[source]¶

Align two axes based on two curves that share the same qualitative profile.

Parameters:¶

ax1 : matplotlib.axes.Axes.axis¶

The first of two axis to be aligned

y1 : numpy.ndarray¶

The line on the first axis which will be used for alignment

ax2 : matplotlib.axes.Axes.axis¶

The second of two axis to be aligned

y2 : numpy.ndarray¶

The line on the second axis which will be used for alignment

Example

Create some dummy time series. y1 and y2 will be on ax1, y3 will be on the twinx axis of ax1 and share the qualitative profile of y1.

>>> pytest.skip()
>>> x = np.linspace(0, 4*np.pi, 100)
>>> y1 = np.sin(x) + 10
>>> y2 = np.sin(x)*1.4 + .3*x + 9
>>> y3 = 1.6*np.sin(x) + 3
>>>
>>> fig, (ax1, ax2) = plt.subplots(1,2, figsize=(10,4))
>>> ax1.plot(x, y1, lw=4, alpha=.7, zorder=-1, color='blue')
>>> ax1.plot(x, y2, lw=1.5, color='steelblue')
>>> ax1.tick_params(colors='b')
>>>
>>> ax12 = ax1.twinx()
>>> ax12.plot(x, y3, alpha=.7, marker='+', color='red', lw=1)
>>> ax12.tick_params(colors='r')
>>>
>>> ax2.plot(x, y1, lw=4, alpha=.7, zorder=-1, color='blue')
>>> ax2.plot(x, y2, lw=1.5, color='steelblue')
>>> ax2.tick_params(colors='b')
>>>
>>> ax22 = ax2.twinx()
>>> ax22.plot(x, y3, alpha=.7, marker='+', color='red', lw=1)
>>> ax22.tick_params(colors='r')

Align the limits such that the blue and the red curve match again

>>> align_curves(ax2, y1, ax22, y3)