forked from moreo/QuaPy
44 lines
973 B
Python
44 lines
973 B
Python
import gzip
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import os
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import sys
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from collections import Counter
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from Ordinal.utils import jaggedness
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import pickle
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import numpy as np
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telescope = np.genfromtxt('fact_expectation.txt')
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nclasses_telescope = len(telescope)
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jag = jaggedness(telescope)
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print(jag)
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import matplotlib.pyplot as plt
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from matplotlib.pyplot import figure
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import seaborn as sns
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sns.set_theme('paper')
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sns.set_style('dark')
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sns.set(font_scale=0.7)
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# figure, axis = plt.subplots(1, 2, figsize=(8, 7))
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ymax = 0.4
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figure(figsize=(8, 4), dpi=300)
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ax=plt.subplot(1, 1, 1)
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classes = np.arange(1, nclasses_telescope+1)
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plt.bar(classes, telescope, width=1)
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# ax.bar_label(telescope)
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ax.set_ylim(0, ymax)
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ax.set_xlabel("energy bin")
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ax.set_xticks(classes)
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ax.set_title(f'FACT data ({jag:.4f})')
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for index, data in enumerate(telescope):
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plt.text(x=index+0.56 , y=data+0.005 , s=f"{data:.4f}")
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plt.subplots_adjust(wspace=0.1, hspace=0)
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plt.savefig('telescope_prevalence.pdf', bbox_inches='tight')
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