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Total time: 16.4064 s | |
File: neufeld_plots.py | |
Function: main at line 1 | |
Line # Hits Time Per Hit % Time Line Contents | |
============================================================== | |
1 @profile | |
2 def main(): | |
3 1 168872.0 168872.0 1.0 import numpy as np | |
4 1 108349.0 108349.0 0.7 import matplotlib | |
5 1 16.0 16.0 0.0 matplotlib.use('Agg') | |
6 1 529759.0 529759.0 3.2 import matplotlib.pyplot as plt | |
7 1 10088.0 10088.0 0.1 from matplotlib.backends.backend_pdf import PdfPages | |
8 | |
9 1 2.0 2.0 0.0 average_scatterings = [] | |
10 1 1.0 1.0 0.0 optical_depths = [] | |
11 1 1256.0 1256.0 0.0 with PdfPages('neufeld_plots.pdf') as pdf: | |
12 5 20378.0 4075.6 0.1 for filename in ['neufeld_1e5.txt', 'neufeld_1e6.txt', 'neufeld_1e7.txt', 'neufeld_1e8.txt']: | |
13 4 12682443.0 3170610.8 77.3 data = np.genfromtxt(filename) | |
14 4 259.0 64.8 0.0 freq = data[:, 0] | |
15 4 4927.0 1231.8 0.0 average_scatterings.append(np.median(data[:, 1])) | |
16 4 29.0 7.2 0.0 optical_depths.append(float(filename.split('.')[0].split('_')[1])) | |
17 | |
18 4 338732.0 84683.0 2.1 plt.title(r"$\tau$ = {:.0e}".format(optical_depths[-1])) | |
19 4 19495.0 4873.8 0.1 plt.hist(freq, bins=100, range=(-1e3, 1e3), histtype='step') | |
20 4 1130407.0 282601.8 6.9 pdf.savefig() | |
21 4 2081.0 520.2 0.0 plt.close() | |
22 | |
23 | |
24 1 88322.0 88322.0 0.5 plt.loglog(optical_depths, average_scatterings, 'ko') | |
25 1 126.0 126.0 0.0 plt.xlim(1e2, 1e8) | |
26 1 92.0 92.0 0.0 plt.ylim(1e2, 1e8) | |
27 1 1321.0 1321.0 0.0 plt.plot([1e3, 1e8], [1e3, 1e8 |
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