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authorHolden Rohrer <hr@hrhr.dev>2020-07-06 18:20:32 -0400
committerHolden Rohrer <hr@hrhr.dev>2020-07-06 18:41:47 -0400
commita1d245cfd1979ec78bbc01e5125af80071f8cc42 (patch)
tree9bf0ec38631e4f0879940dc4a0b133d78fc2f17c /py/depwid.py
parent5a18c8a33b90003a2c930a207f766800883c3622 (diff)
File reorganization
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+from data import trials
+from math import sqrt
+from scipy.stats import pearsonr
+from collections import Counter
+import matplotlib.pyplot as plt
+
+depths, widths, sizes = [], [], []
+for trial in trials:
+ size = sqrt(trial.size[0]*trial.size[1])
+ for pit in trial.pits:
+ sizes.append(size)
+ depths.append(pit.depth)
+ widths.append(pit.diam)
+weights = [20*i for i in Counter(depths).values() for j in range(i)]
+plt.scatter([size-.5 for size in sizes], depths, weights, 'b','o', label='depth')
+weights = [20*i for i in Counter(widths).values() for j in range(i)]
+plt.scatter(sizes, widths, weights, 'r', 'o', label='width')
+plt.xlabel('Square root of Trial Area (cm)')
+plt.ylabel('Depth/Width of Antlion Pits (cm)')
+plt.legend(loc='upper right')
+plt.text(10, 7, 'R^2 = %.3f\np=%.3f' % (pearsonr(sizes,depths)[0], pearsonr(sizes,depths)[1]), ha='center', va='center')
+plt.savefig('depth_width.png', bbox_inches='tight')