Series.str.isnumeric(self)
[source]
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: |
|
---|
See also
Series.str.isalpha
Series.str.isnumeric
Series.str.isalnum
Series.str.isdigit
Series.str.isdecimal
Series.str.isspace
Series.str.islower
Series.str.isupper
Series.str.istitle
Checks for Alphabetic and Numeric Characters
>>> s1 = pd.Series(['one', 'one1', '1', ''])
>>> s1.str.isalpha() 0 True 1 False 2 False 3 False dtype: bool
>>> s1.str.isnumeric() 0 False 1 False 2 True 3 False dtype: bool
>>> s1.str.isalnum() 0 True 1 True 2 True 3 False dtype: bool
Note that checks against characters mixed with any additional punctuation or whitespace will evaluate to false for an alphanumeric check.
>>> s2 = pd.Series(['A B', '1.5', '3,000']) >>> s2.str.isalnum() 0 False 1 False 2 False dtype: bool
More Detailed Checks for Numeric Characters
There are several different but overlapping sets of numeric characters that can be checked for.
>>> s3 = pd.Series(['23', '³', '⅕', ''])
The s3.str.isdecimal
method checks for characters used to form numbers in base 10.
>>> s3.str.isdecimal() 0 True 1 False 2 False 3 False dtype: bool
The s.str.isdigit
method is the same as s3.str.isdecimal
but also includes special digits, like superscripted and subscripted digits in unicode.
>>> s3.str.isdigit() 0 True 1 True 2 False 3 False dtype: bool
The s.str.isnumeric
method is the same as s3.str.isdigit
but also includes other characters that can represent quantities such as unicode fractions.
>>> s3.str.isnumeric() 0 True 1 True 2 True 3 False dtype: bool
Checks for Whitespace
>>> s4 = pd.Series([' ', '\t\r\n ', '']) >>> s4.str.isspace() 0 True 1 True 2 False dtype: bool
Checks for Character Case
>>> s5 = pd.Series(['leopard', 'Golden Eagle', 'SNAKE', ''])
>>> s5.str.islower() 0 True 1 False 2 False 3 False dtype: bool
>>> s5.str.isupper() 0 False 1 False 2 True 3 False dtype: bool
The s5.str.istitle
method checks for whether all words are in title case (whether only the first letter of each word is capitalized). Words are assumed to be as any sequence of non-numeric characters separated by whitespace characters.
>>> s5.str.istitle() 0 False 1 True 2 False 3 False dtype: bool
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Licensed under the 3-clause BSD License.
https://pandas.pydata.org/pandas-docs/version/0.25.0/reference/api/pandas.Series.str.isnumeric.html