rename elements in a column of a data frame using pandas

dataframe, pandas, python, rename

Solution

You can pass a dictionary of replacement values into the Series replace method:

In [11]: df['n'].replace({'a': 'x', 'b': 'y', 'c': 'w', 'd': 'z'})
Out[11]: 
0    z
1    x
2    y
3    w
4    w
5    x
6    z
7    y
Name: n, dtype: object

In [12]: df['n'] = df['n'].replace({'a': 'x', 'b': 'y', 'c': 'w', 'd': 'z'})

Problem

Using pandas: ``` df = pd.DataFrame({'n':['d','a','b','c','c','a','d','b'], 'v':[1,2,1,2,2,1,1,1]}) ``` How can I rename the elements in `df.n`, such that `a` changes to `x`, `b` to `y`, `c` to `w` and `d` to `z`, resulting in: ``` n v 0 z 1 1 x 2 2 y 1 3 w 2 ... ```

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