Surprising behavior of DataFrame.replace · Issue #3582 · pandas-dev/pandas (original) (raw)

This seems a bit surprising:

from string import ascii_lowercase as letters from pandas import DataFrame df = DataFrame(list(letters[:4]), columns=['a']) df a 0 a 1 b 2 c 3 d df.replace({'a': 'b'}) a 0 a 1 a 2 c 3 d df.replace({'a': 'c'}) a 0 a 1 b 2 b 3 d

Does this have to do with padding?