2024-04-22 15:50:16 -04:00
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import numpy as np
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import pandas as pd
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import matplotlib.pyplot as plt
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#make this example reproducible
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np.random.seed(0)
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#define figure and axes
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fig, ax = plt.subplots()
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#hide the axes
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fig.patch.set_visible(False)
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ax.axis('off')
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ax.axis('tight')
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#read data
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df = pd.read_csv('i18n-coverage.csv')
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#create table
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table = ax.table(cellText=df.values, colLabels=df.columns, loc='center')
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#display table
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fig.tight_layout()
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#plt.show()
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ax.set_title('Loss by Disaster')
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fig = plt.gcf()
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2024-04-22 16:29:07 -04:00
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plt.savefig('i18n-coverage-table.png',
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2024-04-22 15:50:16 -04:00
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bbox_inches='tight',
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dpi=150
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)
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