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# numpy.char.lstrip

char.lstrip(a, chars=None)

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

  Parameters:
    a array-like, with `StringDType`, `bytes_`, or `str_` dtype
    chars scalar with the same dtype as `a`, optional

      The `chars` argument is a string specifying the set of characters to be removed. If `None`, the `chars` argument defaults to removing whitespace. The `chars` argument is not a prefix or suffix; rather, all combinations of its values are stripped.

  Returns:
    out ndarray

      Output array of `StringDType`, `bytes_` or `str_` dtype, depending on input types

  See also

  `str.lstrip`

  Examples

      >>> import numpy as np
      >>> c = np.array(['aAaAaA', '  aA  ', 'abBABba'])
      >>> c
      array(['aAaAaA', '  aA  ', 'abBABba'], dtype='<U7')
      # The 'a' variable is unstripped from c[1] because of leading whitespace.
      >>> np.strings.lstrip(c, 'a')
      array(['AaAaA', '  aA  ', 'bBABba'], dtype='<U7')
      >>> np.strings.lstrip(c, 'A') # leaves c unchanged
      array(['aAaAaA', '  aA  ', 'abBABba'], dtype='<U7')
      >>> (np.strings.lstrip(c, ' ') == np.strings.lstrip(c, '')).all()
      np.False_
      >>> (np.strings.lstrip(c, ' ') == np.strings.lstrip(c)).all()
      np.True_