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34 lines
691 B
Python
34 lines
691 B
Python
from sys import argv
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import pandas as pd
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from matplotlib import pyplot as plt
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from matplotlib.axes import Axes
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from matplotlib.figure import Figure
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file = argv[1]
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df = pd.read_csv(file)
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print(df)
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# df = df.iloc
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fig: Figure = plt.figure()
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ax: Axes = fig.gca()
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# ax.scatter(df["ref_sizes"], df["comp_sizes"], s=1, alpha=.3)
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ax.scatter(df["ref_masses"], df["comp_masses"], s=1, alpha=.3)
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ax.set_xscale("log")
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ax.set_xlabel("reference size")
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ax.set_ylabel("comparison size")
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ax.set_yscale("log")
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fig2: Figure = plt.figure()
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ax2: Axes = fig2.gca()
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ax2.hist(df["distances"][df["distances"] < 50], bins=100)
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ax2.set_ylabel("distance")
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for a in [ax, ax2]:
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a.set_title(file)
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plt.show()
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