pandas dataframe column rename
>>> 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
pandas dataframe column rename
>>> 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
df change column names
df.rename(columns={"A": "a", "B": "b", "C": "c"},
errors="raise", inplace=True)
name columns pandas
>gapminder.columns = ['country','year','population',
'continent','life_exp','gdp_per_cap']
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