bug: interpolate() row-by-row doesn't work when setting inplace=True · Issue #10395 · pandas-dev/pandas (original) (raw)

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Description

pandas version 0.16.2

import numpy as np import pandas as pd

np.random.seed(12345)

simulate some data

df = pd.DataFrame(np.random.randn(250, 10), columns=np.arange(1, 11), index=pd.date_range('2015-01-01', periods=250, freq='B'))

set 20% data to NaN

sel = np.random.choice([True, False], size=(250, 10), p=[0.2, 0.8]) df.values[sel] = np.nan

row-wise interpolation doesn't work when setting inplace=True

df1 = df.copy() df1.interpolate(method='linear', axis=1, inplace=True)

inplace doesn't work

import pandas.util.testing as pdt pdt.assert_frame_equal(df, df1)

dropping inplace=True, it works

df2 = df.copy() df2 = df2.interpolate(method='linear', axis=1) pdt.assert_frame_equal(df, df2)