numpy.trim_zeros#
- numpy.trim_zeros(filt, trim='fb')[source]#
Trim the leading and/or trailing zeros from a 1-D array or sequence.
- Parameters:
- filt1-D array or sequence
Input array.
- trimstr, optional
A string with ‘f’ representing trim from front and ‘b’ to trim from back. Default is ‘fb’, trim zeros from both front and back of the array.
- Returns:
- trimmed1-D array or sequence
The result of trimming the input. The input data type is preserved.
Examples
>>> a = np.array((0, 0, 0, 1, 2, 3, 0, 2, 1, 0)) >>> np.trim_zeros(a) array([1, 2, 3, 0, 2, 1])
>>> np.trim_zeros(a, 'b') array([0, 0, 0, ..., 0, 2, 1])
The input data type is preserved, list/tuple in means list/tuple out.
>>> np.trim_zeros([0, 1, 2, 0]) [1, 2]