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pygmt/datasets/samples.py

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@@ -116,12 +116,10 @@ def load_fractures_compilation():
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Returns
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-------
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data : pandas.DataFrame
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The data table. Use ``print(data.describe())`` to see the available
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columns.
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"""
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fname = which("@fractures_06.txt", download="c")
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data = pd.read_csv(fname, header=None, sep=r"\s+", names=["azimuth", "length"])
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return data[["length", "azimuth"]]
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return data[["length", "azimuth"]]

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