From 12224e5a937916a3c298918c76dde610c7ddd79d Mon Sep 17 00:00:00 2001
From: Blaise Thompson <blaise@untzag.com>
Date: Mon, 23 Apr 2018 08:42:39 -0500
Subject: 2018-04-23 08:42

---
 presentation/chopped.png | Bin 0 -> 168938 bytes
 presentation/chopped.py  |  64 +++++++++++++++++++++++++++++++++++++++++++++++
 2 files changed, 64 insertions(+)
 create mode 100644 presentation/chopped.png
 create mode 100644 presentation/chopped.py

(limited to 'presentation')

diff --git a/presentation/chopped.png b/presentation/chopped.png
new file mode 100644
index 0000000..ba3dcfd
Binary files /dev/null and b/presentation/chopped.png differ
diff --git a/presentation/chopped.py b/presentation/chopped.py
new file mode 100644
index 0000000..7878b99
--- /dev/null
+++ b/presentation/chopped.py
@@ -0,0 +1,64 @@
+"""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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