numpy.char.strip#
- char.strip(a, chars=None)[source]#
For each element in a, return a copy with the leading and trailing characters removed.
- Parameters:
- aarray-like, with
StringDType
,bytes_
, orstr_
dtype - charsscalar with the same dtype as
a
, optional The
chars
argument is a string specifying the set of characters to be removed. IfNone
, thechars
argument defaults to removing whitespace. Thechars
argument is not a prefix or suffix; rather, all combinations of its values are stripped.
- aarray-like, with
- Returns:
- outndarray
Output array of
StringDType
,bytes_
orstr_
dtype, depending on input types
See also
Examples
>>> import numpy as np >>> c = np.array(['aAaAaA', ' aA ', 'abBABba']) >>> c array(['aAaAaA', ' aA ', 'abBABba'], dtype='<U7') >>> np.strings.strip(c) array(['aAaAaA', 'aA', 'abBABba'], dtype='<U7') # 'a' unstripped from c[1] because of leading whitespace. >>> np.strings.strip(c, 'a') array(['AaAaA', ' aA ', 'bBABb'], dtype='<U7') # 'A' unstripped from c[1] because of trailing whitespace. >>> np.strings.strip(c, 'A') array(['aAaAa', ' aA ', 'abBABba'], dtype='<U7')