pandas.Series.str.isdecimal — pandas 2.2.3 documentation (original) (raw)
Series.str.isdecimal()[source]#
Check whether all characters in each string are decimal.
This is equivalent to running the Python string methodstr.isdecimal() 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.
Examples
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