chained assignment issue

[HugoGagnon]

Hi,

There is a slight modification to perform in pairwise.py

Error:
A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.

stats["Time"].fillna("-", inplace=True)

line 592 in code:

Rename Time columns

if contrast in ["multiple_within", "multiple_between", "within_between"] and interaction:
    stats["Time"].fillna("-", inplace=True)
    stats.rename(columns={"Time": factors[0]}, inplace=True)

return _postprocess_dataframe(stats)

Should most likely become:

if contrast in ["multiple_within", "multiple_between", "within_between"] and interaction:
stats["Time"]= stats["Time"].fillna("-")
stats.rename(columns={"Time": factors[0]}, inplace=True)

return _postprocess_dataframe(stats)