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-rw-r--r--presentation/chopped.pngbin0 -> 168938 bytes
-rw-r--r--presentation/chopped.py64
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diff --git a/presentation/chopped.png b/presentation/chopped.png
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diff --git a/presentation/chopped.py b/presentation/chopped.py
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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)