"""
===================================
Creating Interactive Virtual Images
===================================

We can create interactive virtual images by using the `interactive` method from hyperspy. Because
this requires that we recalculate the virtual images every time we change the ROIs it works best
with small datasets or datasets loaded completely into memory.

You can drag the ROI to update the virtual image if you use the ipympl or qt5 backends for plotting!
"""

import pyxem as pxm
import hyperspy.api as hs

s = pxm.data.dummy_data.get_cbed_signal()
circle = hs.roi.CircleROI(cx=26, cy=74, r=5.5, r_inner=0)
s.plot_integrated_intensity(circle)

# %%
# Also we can do the same with a 1D signal

s = pxm.data.dummy_data.get_cbed_signal()
s.calibration(center=None)
s1d = s.get_azimuthal_integral1d(npt=100, mean=True)
span = hs.roi.SpanROI(left=15.5, right=20)
s1d.plot_integrated_intensity(span)
# %%