# numpy.char.lstrip

char.lstrip(a, chars=None)

  For each element in a, return a copy with the leading characters removed.

  Calls `str.lstrip` element-wise.

  Parameters
    a array-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, the chars argument defaults to removing whitespace. The chars argument is not a prefix; rather, all combinations of its values are stripped.

  Returns
    out ndarray, {str, unicode}

      Output array of str or unicode, depending on input type

  See also

  `str.lstrip`

  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

previous

numpy.char.lower

next

numpy.char.partition