From 9d89c09dfe49aba4c68b6911600715add419babd Mon Sep 17 00:00:00 2001
From: Blaise Thompson <blaise@untzag.com>
Date: Tue, 27 Feb 2018 23:58:32 -0600
Subject: 2018-02-27 23:58

---
 instrument/TA dual chopping/workup.py | 88 -----------------------------------
 1 file changed, 88 deletions(-)
 delete 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
deleted file mode 100644
index 5d3e5fe..0000000
--- a/instrument/TA dual chopping/workup.py	
+++ /dev/null
@@ -1,88 +0,0 @@
-### 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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