Crop navigation axes

This example shows various ways to crop the navigation axes of an EBSD signal using HyperSpy’s inav slicer and crop() method (see Indexing for details).

import hyperspy.api as hs
import kikuchipy as kp


# Import data
s = kp.data.nickel_ebsd_small()
s.remove_static_background(show_progressbar=False)

# Inspect data and attributes
plot_kwds = dict(axes_decor=None, label=None, colorbar=None, tight_layout=True)
_ = hs.plot.plot_images(s, **plot_kwds)
print(s)
print(s.xmap.shape)
print(s.detector.navigation_shape)

<EBSD, title: patterns Scan 1, dimensions: (3, 3|60, 60)>
(3, 3)
(3, 3)

Get a new signal with the patterns in the first row using inav. Note how the xmap and detector attributes are updated.

s2 = s.inav[:, 0]

_ = hs.plot.plot_images(s2, **plot_kwds)
print(s2)
print(s2.xmap.shape)
print(s2.detector.navigation_shape)

<EBSD, title: patterns Scan 1, dimensions: (3|60, 60)>
(3,)
(3,)

Get the first column using crop(), which overwrites the signal inplace

s3 = s.deepcopy()
s3.crop(1, start=0, end=1)

_ = hs.plot.plot_images(s3, **plot_kwds)
print(s3)
print(s3.xmap.shape)
print(s3.detector.navigation_shape)

<EBSD, title: patterns Scan 1, dimensions: (3, 1|60, 60)>
(1, 3)
(1, 3)

While inav returned a signal with only one navigation dimension, crop() left a single row. We can remove this (1,) dimension using squeeze(), but note that the custom EBSD attributes are not cropped accordingly

s4 = s3.squeeze()

print(s4)
print(s4.xmap.shape)
print(s4.detector.navigation_shape)

<EBSD, title: patterns Scan 1, dimensions: (3|60, 60)>
(1, 3)
(1, 3)

Estimated memory usage: 9 MB