numpy.char.lstrip
-
char.lstrip(a, chars=None)
[source] -
For each element in
a
, return a copy with the leading characters removed.Calls
str.lstrip
element-wise.- Parameters
-
-
aarray-like, {str, unicode}
-
Input array.
-
chars{str, unicode}, optional
-
The
chars
argument is a string specifying the set of characters to be removed. If omitted or None, thechars
argument defaults to removing whitespace. Thechars
argument is not a prefix; rather, all combinations of its values are stripped.
-
- Returns
-
-
outndarray, {str, unicode}
-
Output array of str or unicode, depending on input type
-
See also
Examples
>>> c = np.array(['aAaAaA', ' aA ', 'abBABba']) >>> c array(['aAaAaA', ' aA ', 'abBABba'], dtype='<U7')
The ‘a’ variable is unstripped from c[1] because whitespace leading.
>>> np.char.lstrip(c, 'a') array(['AaAaA', ' aA ', 'bBABba'], dtype='<U7')
>>> np.char.lstrip(c, 'A') # leaves c unchanged array(['aAaAaA', ' aA ', 'abBABba'], dtype='<U7') >>> (np.char.lstrip(c, ' ') == np.char.lstrip(c, '')).all() ... # XXX: is this a regression? This used to return True ... # np.char.lstrip(c,'') does not modify c at all. False >>> (np.char.lstrip(c, ' ') == np.char.lstrip(c, None)).all() True
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https://numpy.org/doc/1.20/reference/generated/numpy.char.lstrip.html