From 49de5fe553c2066520162cccd7d5dd586efc934d Mon Sep 17 00:00:00 2001
From: Blaise Thompson <blaise@untzag.com>
Date: Mon, 16 Oct 2017 21:05:48 -0500
Subject: structure

---
 instrument/TA dual chopping/workup.py | 88 +++++++++++++++++++++++++++++++++++
 1 file changed, 88 insertions(+)
 create mode 100644 instrument/TA dual chopping/workup.py

(limited to 'instrument/TA dual chopping/workup.py')

diff --git a/instrument/TA dual chopping/workup.py b/instrument/TA dual chopping/workup.py
new file mode 100644
index 0000000..5d3e5fe
--- /dev/null
+++ b/instrument/TA dual chopping/workup.py	
@@ -0,0 +1,88 @@
+### import ####################################################################
+
+
+import os
+
+import matplotlib
+import matplotlib.pyplot as plt
+matplotlib.rcParams['font.size'] = 14
+
+import WrightTools as wt
+
+
+### define ####################################################################
+
+
+gd_path = wt.kit.get_path_matching('Google Drive')
+directory = os.path.dirname(__file__)
+
+cmap = wt.artists.colormaps['signed']
+
+
+### process ###################################################################
+
+
+if True:
+    fig, gs = wt.artists.create_figure(nrows=3, cols=[1, 1, 'cbar'],
+                                       default_aspect=0.5, width='double')
+    def get_vmin_vmax(zi):
+        extent = max(zi.max(), -zi.min())
+        return -extent, extent
+    def plot(data, col_index, name='name'):    
+        # raw
+        ax = plt.subplot(gs[0, col_index])
+        xi = data.axes[1].points
+        yi = data.axes[0].points
+        zi = data.channels[0].values
+        X, Y, Z = wt.artists.pcolor_helper(xi, yi, zi)
+        vmin, vmax = get_vmin_vmax(zi)
+        ax.pcolor(xi, yi, zi, vmin=vmin, vmax=vmax, cmap=cmap)
+        ax.axhline(0, lw=1, c='k')
+        ax.set_xlim(xi.min(), xi.max())
+        ax.set_ylim(yi.min(), yi.max())
+        ax.set_title(name, fontsize=18)
+        wt.artists.corner_text('raw', ax=ax, fontsize=18)
+        # leveled
+        ax = plt.subplot(gs[1, col_index])
+        data.level(0, 'd2', -3)
+        xi = data.axes[1].points
+        yi = data.axes[0].points
+        zi = data.channels[0].values
+        X, Y, Z = wt.artists.pcolor_helper(xi, yi, zi)
+        ax.pcolor(xi, yi, zi, vmin=vmin, vmax=vmax, cmap=cmap)
+        ax.axhline(0, lw=1, c='k')
+        ax.set_xlim(xi.min(), xi.max())
+        ax.set_ylim(yi.min(), yi.max())
+        wt.artists.corner_text('leveled', ax=ax, fontsize=18)
+        # smoothed
+        ax = plt.subplot(gs[2, col_index])
+        data.smooth(2)
+        xi = data.axes[1].points
+        yi = data.axes[0].points
+        zi = data.channels[0].values
+        X, Y, Z = wt.artists.pcolor_helper(xi, yi, zi)
+        ax.pcolor(xi, yi, zi, vmin=vmin, vmax=vmax, cmap=cmap)
+        ax.axhline(0, lw=1, c='k')
+        ax.set_xlim(xi.min(), xi.max())
+        ax.set_ylim(yi.min(), yi.max())
+        wt.artists.corner_text('smoothed', ax=ax, fontsize=18)
+    # single
+    p = os.path.join(directory, 'SCAN [wmw1, d2] 2016.05.30 11_50_06 single', 'SCAN [wmw1, d2] 2016.05.30 11_50_06 single.data')
+    data = wt.data.from_PyCMDS(p)
+    data.transpose()
+    data.bring_to_front('signal_diff')
+    data.channels[0].values *= -1
+    plot(data, 0, name='single')
+    # dual
+    p = os.path.join(directory, 'SCAN [wmw1, d2] 2016.05.30 13_32_42 dual', 'SCAN [wmw1, d2] 2016.05.30 13_32_42 dual.data')
+    data = wt.data.from_PyCMDS(p)
+    data.transpose()
+    data.bring_to_front('signal_diff')
+    data.channels[0].values *= -1
+    plot(data, 1, name='dual')
+    # colorbar
+    cax = plt.subplot(gs[:, -1])
+    matplotlib.colorbar.ColorbarBase(cax, cmap=cmap, ticks=[-1, 0, 1])
+    # finish
+    plt.savefig('compare.png', dpi=300, transparent=True, pad_inches=1)
+    plt.close('fig')
-- 
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