rename row pandas

1# if the row value in column 'is_blue' is 1 
2# Change the row value to 'Yes' 
3# otherwise change it to 'No'
4df['is_blue'] = df['is_blue'].apply(lambda x: 'Yes' if (x == 1) else 'No') 
5
6
7# You can also use mapping to accomplish the same result
8# Warning: Mapping only works once on the same column creates NaN's otherwise
9df['is_blue'] = df['is_blue'].map({0: 'No', 1: 'Yes'})  

1df.rename(columns={"A": "a", "B": "b", "C": "c"},
2errors="raise", inplace=True)
3

1df_new = df.rename(columns={'A': 'a'}, index={'ONE': 'one'})
2print(df_new)
3#         a   B   C
4# one    11  12  13
5# TWO    21  22  23
6# THREE  31  32  33
7
8print(df)
9#         A   B   C
10# ONE    11  12  13
11# TWO    21  22  23
12# THREE  31  32  33
13

1>>> df.rename({1: 2, 2: 4}, axis='index')
2   A  B
30  1  4
42  2  5
54  3  6
6