"""
Chromatic Imaging
=================

This example shows how to plot color-filtered (chromatic) images from a hyperspectral dataset.
"""

# %%
# Load the data
import lumispy as lum
import hyperspy.api as hs

cl1 = lum.data.nanoparticles()

cl1.mean().plot()

# %%
# First, lets plot the panchromatic (integrated over wavelength axis) image
# (the object is transposed, so that we plot the intensity over navigation instead of signal dimensions).
#
# The parameter 'cmap' specifies the colormap to use for plotting. See :doc:`mpl:users/explain/colors/colormaps`.

cl1.T.mean().plot(cmap="viridis")

# %%
# Now, we can plot the intensity in a selected spectral window (color-filtered image) using signal indexing

cl1.isig[480.0:550.0].T.mean().plot(cmap="viridis")

# %%
# This spectral filtering can also be done interactively using :py:func:`hyperspy.api.plot.plot_roi_map`. Note that instead of passing explicit ``SpanROI`` objects, the parameter ``rois`` can also take an integer number, for which the corresponding number of ROIs will be initialized with default values for interactive adaptataion:

roi1 = hs.roi.SpanROI(left=480.0, right=550.0)
hs.plot.plot_roi_map(signal=cl1, rois=roi1, cmap="viridis")

# sphinx_gallery_start_ignore
# sphinx_gallery_thumbnail_number = 3
# sphinx_gallery_end_ignore