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"""Bandwidth comparison between Singh & Czech."""
# --- import --------------------------------------------------------------------------------------
import os
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.patches as patches
import WrightTools as wt
from WrightTools import datasets
# --- define --------------------------------------------------------------------------------------
here = os.path.abspath(os.path.dirname(__file__))
# --- workspace -----------------------------------------------------------------------------------
fig, gs = wt.artists.create_figure(width='double', cols=[1, 1, 'cbar'])
# get data
ps = datasets.COLORS.v2p1_MoS2_TrEE_movie
data = wt.data.from_COLORS(ps)
data.convert('eV', convert_variables=True)
data.ai0.signed = False
data.ai0.clip(min=0, replace='value')
data.level(0, 2, -4)
data = data.chop('w1=wm', 'w2', at={'d2': [-80, 'fs']})[0]
# decoration
def decorate(ax):
ax.grid()
wt.artists.diagonal_line()
# detector sees
ax = plt.subplot(gs[0, 0])
ax.pcolor(data, channel='ai4')
ax.set_title('detected', fontsize=20)
decorate(ax)
# chopped
ax = plt.subplot(gs[0, 1])
ax.pcolor(data, channel='ai0')
ax.set_title('chopped', fontsize=20)
decorate(ax)
# label
wt.artists.set_fig_labels(xlabel=data.w1__e__wm.label, ylabel=data.w2.label)
# colorbar
cax = plt.subplot(gs[0, -1])
wt.artists.plot_colorbar(cax=cax, label='intensity')
# save
p = os.path.join(here, 'chopped.png')
wt.artists.savefig(p)
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