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/scatter/figures.py | 90 -------------------------------------------
 1 file changed, 90 deletions(-)
 delete mode 100644 instrument/scatter/figures.py

(limited to 'instrument/scatter/figures.py')

diff --git a/instrument/scatter/figures.py b/instrument/scatter/figures.py
deleted file mode 100644
index 0f9bfc9..0000000
--- a/instrument/scatter/figures.py
+++ /dev/null
@@ -1,90 +0,0 @@
-### import ####################################################################
-
-
-import os
-
-import numpy as np
-
-import matplotlib
-import matplotlib.pyplot as plt
-matplotlib.rcParams['font.size'] = 14
-matplotlib.rcParams['savefig.pad_inches'] = 1
-
-import WrightTools as wt
-
-
-### define ####################################################################
-
-
-ddir = wt.kit.get_path_matching('Dissertation')
-
-cmap = wt.artists.colormaps['default']
-signed_cmap = wt.artists.colormaps['signed']
-
-
-### TA single vs dual chopping comparison #####################################
-
-
-if True:
-    # get data
-    single_p = os.path.join(ddir, 'data', 'method development', 'TA dual chopping', 'SCAN [wmw1, d2] 2016.05.30 11_50_06 single', 'SCAN [wmw1, d2] 2016.05.30 11_50_06 single.data')
-    single = wt.data.from_PyCMDS(single_p)
-    dual1_p = os.path.join(ddir, 'data', 'method development', 'TA dual chopping', 'SCAN [wmw1, d2] 2016.05.30 12_19_10 dual', 'SCAN [wmw1, d2] 2016.05.30 12_19_10 dual.data')
-    dual1 = wt.data.from_PyCMDS(dual1_p)
-    dual2_p = os.path.join(ddir, 'data', 'method development', 'TA dual chopping', 'SCAN [wmw1, d2] 2016.05.30 13_32_42 dual', 'SCAN [wmw1, d2] 2016.05.30 13_32_42 dual.data')
-    dual2 = wt.data.from_PyCMDS(dual2_p)   
-    datas = [single, dual1, dual2]
-    pump = wt.units.converter(621.118012, 'nm', 'eV')
-    # process data
-    for data in datas:
-        data.convert('eV')
-        data.bring_to_front('signal_diff')
-        data.transpose()
-    # prepare figure
-    fig, gs = wt.artists.create_figure(nrows=3, cols=[1, 'cbar'],
-                                       default_aspect=0.5, width='single')
-    # plot methods
-    def get_vmin_vmax(zi):
-        extent = max(zi.max(), -zi.min())
-        return -extent, extent
-    def plot(data, index, name='name', x=False):
-        ax = plt.subplot(gs[index, 0])
-        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=signed_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(name, ax=ax, fontsize=18)
-        ax.grid()
-        ax.set_ylabel(single.axes[0].get_label(), fontsize=18)
-        ax.axvline(pump, c='k', lw=4, alpha=0.25)
-        if x:
-            single.axes[1].label_seed = ['probe', 'm']
-            ax.set_xlabel(single.axes[1].get_label(), fontsize=18)
-            #ax.xaxis.set_label_coords(0.5, 1)
-            #ax.xaxis.label._clipon = False
-        else:
-            plt.setp(ax.get_xticklabels(), visible=False)
-    # fill plots
-    plot(single, 0, '500 single')
-    plot(dual1, 1, '500 dual')
-    plot(dual2, 2, '1000 dual', x=True)
-    # colorbar
-    cax = plt.subplot(gs[:, -1])
-    ticks = np.linspace(-1, 1, 9)
-    cbar = wt.artists.plot_colorbar(cax, signed_cmap, ticks=ticks,
-                                    label='$\mathsf{dI}$')
-    # finish
-    plt.savefig('TA chopping comparison.png', dpi=300, transparent=True,
-                pad_inches=1)
-    plt.close(fig)
-    
-
-
-
-
-
-- 
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