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Series.map()

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
Returns:

y : Series

same index as caller

Examples

Map inputs to outputs

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>>> x
one   1
two   2
three 3
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>>> y
1  foo
2  bar
3  baz
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>>> x.map(y)
one   foo
two   bar
three baz

Use na_action to control whether NA values are affected by the mapping function.

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>>> s = pd.Series([1, 2, 3, np.nan])
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>>> 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
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>>> 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
doc_Pandas
doc_Pandas
2025-01-10 15:47:30
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