cudf.core.column.string.StringMethods.isnumeric#

StringMethods.isnumeric() → SeriesOrIndex#

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.

Returns:

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

See also

isalnum: Check whether all characters are alphanumeric.
isalpha: Check whether all characters are alphabetic.
isdecimal: Check whether all characters are decimal.
isdigit: Check whether all characters are digits.
isinteger: Check whether all characters are integer.
isfloat: Check whether all characters are float.
islower: Check whether all characters are lowercase.
isspace: Check whether all characters are whitespace.
isupper: Check whether all characters are uppercase.

Examples

>>> import cudf
>>> s1 = cudf.Series(['one', 'one1', '1', ''])
>>> s1.str.isnumeric()
0    False
1    False
2     True
3    False
dtype: bool

The s1.str.isnumeric method is the same as s2.str.isdigit but also includes other characters that can represent quantities such as unicode fractions.

>>> s2 = pd.Series(['23', '³', '⅕', ''], dtype='str')
>>> s2.str.isnumeric()
0     True
1     True
2     True
3    False
dtype: bool