Specifying Matplotlib Axis#

import hyperspy.api as hs
import matplotlib.pyplot as plt
import numpy as np

Signal2D#

Create two Signal2D

s = hs.signals.Signal2D(np.arange(100).reshape(10, 10))
s2 = -s

Create a list of matplotlib.axis.Axis using matplotlib.pyplot.subplots() and specify the second matplotlib axis of the list to plot_images()

fig, axs = plt.subplots(ncols=3, nrows=1)
hs.plot.plot_images(s, ax=axs[1], axes_decor="off")
()
[<Axes: >]

The same can be done for a list of signals and axis

fig, axs = plt.subplots(ncols=3, nrows=1)
hs.plot.plot_images([s, s2], ax=axs[1:3], axes_decor="off")
specifying ax
[<Axes: >, <Axes: >]

Signal1D#

The same can be for Signal1D

Create two Signal2D

s = hs.signals.Signal1D(np.arange(100))
s2 = -s

Create an array of matplotlib.axis.Axis using matplotlib.pyplot.subplots() and specify the two las matplotlib axis of the second line to plot_spectra()

fig, axs = plt.subplots(ncols=3, nrows=2)
hs.plot.plot_spectra([s, s2], ax=axs[1, 1:3], style="mosaic")
specifying ax
array([<Axes: xlabel='<undefined> (<undefined>)', ylabel='Intensity'>,
       <Axes: xlabel='<undefined> (<undefined>)', ylabel='Intensity'>],
      dtype=object)

Total running time of the script: (0 minutes 0.855 seconds)

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