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Comments (2)

devin-petersohn avatar devin-petersohn commented on May 11, 2024

I'm not able to reproduce this one locally, can you provide a code example of this bug?

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osalpekar avatar osalpekar commented on May 11, 2024

Sure thing:

data = {
    "col1": [np.NaN, 2, np.NaN, 0],
    "col2": [3, 4, np.NaN, 1],
    "col3": [np.NaN, np.NaN, np.NaN, 5],
    "col4": [6, np.NaN, np.NaN, 10],
}
df = pd.DataFrame(data)
pdf = pandas.DataFrame(data)
print(df.clip(upper=[58, -59, -33, 88,], lower=[57, 100, 9, 14], axis='columns'))
print(pdf.clip(upper=[58, -59, -33, 88,], lower=[57, 100, 9, 14], axis='columns'))

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