pyspark.pandas.Series.str.isnumeric¶
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str.isnumeric() → pyspark.pandas.series.Series¶ Check whether all characters in each string are numeric.
This is equivalent to running the Python string method
str.isnumeric()for each element of the Series/Index. If a string has zero characters, False is returned for that check.Examples
>>> s1 = ps.Series(['one', 'one1', '1', '']) >>> s1.str.isnumeric() 0 False 1 False 2 True 3 False dtype: bool
>>> s2 = ps.Series(['23', '³', '⅕', ''])
The s2.str.isdecimal method checks for characters used to form numbers in base 10.
>>> s2.str.isdecimal() 0 True 1 False 2 False 3 False dtype: bool
The s2.str.isdigit method is the same as s2.str.isdecimal but also includes special digits, like superscripted and subscripted digits in Unicode.
>>> s2.str.isdigit() 0 True 1 True 2 False 3 False dtype: bool
The s2.str.isnumeric method is the same as s2.str.isdigit but also includes other characters that can represent quantities such as unicode fractions.
>>> s2.str.isnumeric() 0 True 1 True 2 True 3 False dtype: bool