Rename row pandas

Df change column names

df.rename(columns={"A": "a", "B": "b", "C": "c"},
errors="raise", inplace=True)

Rename column pandas

df_new = df.rename(columns={'A': 'a'}, index={'ONE': 'one'})
print(df_new)
#         a   B   C
# one    11  12  13
# TWO    21  22  23
# THREE  31  32  33

print(df)
#         A   B   C
# ONE    11  12  13
# TWO    21  22  23
# THREE  31  32  33

Source: note.nkmk.me

Renaming row value in pandas

# if the row value in column 'is_blue' is 1 
# Change the row value to 'Yes' 
# otherwise change it to 'No'
df['is_blue'] = df['is_blue'].apply(lambda x: 'Yes' if (x == 1) else 'No') 


# You can also use mapping to accomplish the same result
# Warning: Mapping only works once on the same column creates NaN's otherwise
df['is_blue'] = df['is_blue'].map({0: 'No', 1: 'Yes'})

Rename row pandas

>>> df.rename({1: 2, 2: 4}, axis='index')
   A  B
0  1  4
2  2  5
4  3  6

Source: pandas.pydata.org

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