Pandas Series: dt.month_name() function
Series.dt.month_name() function
The dt.month_name() function is used to get the month names of the DateTimeIndex with specified locale.
Syntax:
Series.dt.month_name(self, *args, **kwargs)
Parameter:
Name | Description | Type / Default Value |
---|---|---|
locale | Locale determining the language in which to return the month name. Default is English locale. | str |
Returns: Index
Index of month names.
Example:
Python-Pandas Code:
import numpy as np
import pandas as pd
idx = pd.date_range(start='2019-01', freq='M', periods=4)
idx
Output:
DatetimeIndex(['2019-01-31', '2019-02-28', '2019-03-31', '2019-04-30'], dtype='datetime64[ns]', freq='M')
Python-Pandas Code:
import numpy as np
import pandas as pd
idx = pd.date_range(start='2019-01', freq='M', periods=4)
idx.month_name()
Output:
Index(['January', 'February', 'March', 'April'], dtype='object')
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https://w3resource.com/pandas/series/series-dt-month_name.php
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