Series.map(arg, na_action=None)
[source]
Map values of Series using input correspondence (which can be a dict, Series, or function)
Parameters: |
arg : function, dict, or Series na_action : {None, ‘ignore’} If ‘ignore’, propagate NA values, without passing them to the mapping function |
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Returns: |
y : Series same index as caller |
Map inputs to outputs
>>> x one 1 two 2 three 3
>>> y 1 foo 2 bar 3 baz
>>> x.map(y) one foo two bar three baz
Use na_action to control whether NA values are affected by the mapping function.
>>> s = pd.Series([1, 2, 3, np.nan])
>>> s2 = s.map(lambda x: 'this is a string {}'.format(x), na_action=None) 0 this is a string 1.0 1 this is a string 2.0 2 this is a string 3.0 3 this is a string nan dtype: object
>>> s3 = s.map(lambda x: 'this is a string {}'.format(x), na_action='ignore') 0 this is a string 1.0 1 this is a string 2.0 2 this is a string 3.0 3 NaN dtype: object
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Licensed under the 3-clause BSD License.
http://pandas.pydata.org/pandas-docs/version/0.19.2/generated/pandas.Series.map.html