From d29370edbb0eeb56ec3aabff437c048b7d9ee178 Mon Sep 17 00:00:00 2001
From: Blaise Thompson <blaise@untzag.com>
Date: Mon, 26 Mar 2018 17:49:30 -0500
Subject: 2018-03-26 17:49

---
 processing/fill_types.py | 105 +++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 105 insertions(+)
 create mode 100644 processing/fill_types.py

(limited to 'processing/fill_types.py')

diff --git a/processing/fill_types.py b/processing/fill_types.py
new file mode 100644
index 0000000..50123e2
--- /dev/null
+++ b/processing/fill_types.py
@@ -0,0 +1,105 @@
+import os
+
+import matplotlib
+import matplotlib.pyplot as plt
+
+import numpy as np
+
+import WrightTools as wt
+from WrightTools import datasets
+
+here = os.path.abspath(os.path.dirname(__file__))
+
+cmap = wt.artists.colormaps['default']
+
+fig, gs = wt.artists.create_figure(width='double', nrows=2, cols=[1, 1, 1, 1, 'cbar'])
+
+# get data
+p = datasets.COLORS.v0p2_d1_d2_diagonal
+data = wt.data.from_COLORS(p, invert_d1=False)
+data.level(0, 0, 3)
+data.ai0.symmetric_root(0.5)
+data.ai0.normalize()
+
+
+def dot_pixel_centers(ax, xi, yi):
+    for x in xi:
+        ax.scatter([x] * len(xi), yi, edgecolor=None, s=5, color='k')
+
+
+def decorate(ax):
+    ax.set_xlim(-150, 150)
+    ax.set_ylim(-150, 150)
+
+
+# pcolor
+ax = plt.subplot(gs[0, 0])
+ax.pcolor(data, cmap=cmap)
+ax.set_title('pcolor', fontsize=20)
+decorate(ax)
+ax = plt.subplot(gs[1, 0])
+ax.pcolor(data, cmap=cmap, edgecolors='k')
+dot_pixel_centers(ax, data.d1.points, data.d2.points)
+decorate(ax)
+
+# tripcolor
+xi = data.d1.points
+yi = data.d2.points
+zi = data.channels[0][:].T
+ax = plt.subplot(gs[0, 1])
+points = [xi, yi]
+x, y = tuple(np.meshgrid(*points, indexing='ij'))
+ax.tripcolor(x.flatten(), y.flatten(), zi.T.flatten(), cmap=cmap, vmin=0, vmax=1)
+decorate(ax)
+ax.set_title('tripcolor', fontsize=20)
+ax = plt.subplot(gs[1, 1])
+ax.tripcolor(x.flatten(), y.flatten(), zi.T.flatten(), edgecolor='k', cmap=cmap, vmin=0, vmax=1)
+decorate(ax)
+dot_pixel_centers(ax, xi, yi)
+
+
+def plot_delaunay_edges(ax, xi, yi, zi):
+    x, y = tuple(np.meshgrid(xi, yi, indexing='ij'))
+    tri = matplotlib.tri.Triangulation(x.flatten(), y.flatten())
+    for i, j in tri.edges:
+        plt.plot([x.flatten()[i], x.flatten()[j]],
+                 [y.flatten()[i], y.flatten()[j]],
+                 c='k', lw=0.25)
+        ax.set_xlim(-125, 125)
+        ax.set_ylim(-125, 125)
+
+
+# contourf
+ax = plt.subplot(gs[0, 2])
+levels = np.linspace(0, 1, 200)
+ax.contourf(data)
+decorate(ax)
+ax.set_title('contourf', fontsize=20)
+ax = plt.subplot(gs[1, 2])
+ax.contourf(data)
+plot_delaunay_edges(ax, xi, yi, zi)
+dot_pixel_centers(ax, xi, yi)
+
+# contour
+ax = plt.subplot(gs[0, 3])
+levels = np.linspace(0, 1, 11)
+ax.contour(data)
+decorate(ax)
+ax.set_title('contour', fontsize=20)
+ax = plt.subplot(gs[1, 3])
+ax.contour(data)
+decorate(ax)
+plot_delaunay_edges(ax, xi, yi, zi)
+dot_pixel_centers(ax, xi, yi)
+
+# label
+ticks = [-100, 0, 100]
+wt.artists.set_fig_labels(xlabel=data.d1.label, ylabel=data.d2.label, xticks=ticks, yticks=ticks)
+
+# colorbar
+cax = plt.subplot(gs[:, -1])
+wt.artists.plot_colorbar(cax=cax, label='amplitude')
+
+# save
+p = os.path.join(here, 'fill_types.png')
+wt.artists.savefig(p)
-- 
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