pandas.Series.str.isdigit

Series.str.isdigit()

Check whether all characters in each string are digits.

This is equivalent to running the Python string method str.isdigit() for each element of the Series/Index. If a string has zero characters, False is returned for that check.

Returns:

Series or Index of bool

Series or Index of boolean values with the same length as the original Series/Index.

See also

Series.str.isalpha

Check whether all characters are alphabetic.

Series.str.isnumeric

Check whether all characters are numeric.

Series.str.isalnum

Check whether all characters are alphanumeric.

Series.str.isdecimal

Check whether all characters are decimal.

Series.str.isspace

Check whether all characters are whitespace.

Series.str.islower

Check whether all characters are lowercase.

Series.str.isascii

Check whether all characters are ascii.

Series.str.isupper

Check whether all characters are uppercase.

Series.str.istitle

Check whether all characters are titlecase.

Notes

Similar to str.isdecimal but also includes special digits, like superscripted and subscripted digits in unicode.

The exact behavior of this method, i.e. which unicode characters are considered as digits, depends on the backend used for string operations, and there can be small differences. For example, Python considers the ³ superscript character as a digit, but not the ⅕ fraction character, while PyArrow considers both as digits. For simple (ascii) decimal numbers, the behaviour is consistent.

Examples

>>> s3 = pd.Series(['23', '³', '⅕', ''])
>>> s3.str.isdigit()
0     True
1     True
2     True
3    False
dtype: bool