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rename column pandas
>>> df = pd.DataFrame({"A": [1, 2, 3], "B": [4, 5, 6]})
>>> df.rename(columns={"A": "a", "B": "c"})
a c
0 1 4
1 2 5
2 3 6
Source: pandas.pydata.org
rename column name pandas dataframe
df.rename(columns={"old_col1": "new_col1", "old_col2": "new_col2"})
pandas rename column values dictionary
df['col1'].map(di) # note: if the dictionary does not exhaustively map all
# entries then non-matched entries are changed to NaNs
Source: stackoverflow.com
pandas rename column values dictionary
df['col1'].map(di).fillna(df['col1'])
Source: stackoverflow.com
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