numpy.array_split()

numpy.array_split(ary, indices_or_sections, axis=0) [source]

Split an array into multiple sub-arrays.

Please refer to the split documentation. The only difference between these functions is that array_split allows indices_or_sections to be an integer that does not equally divide the axis.

Examples

>>> x = np.arange(8.0)
>>> np.array_split(x, 3)
    [array([ 0.,  1.,  2.]), array([ 3.,  4.,  5.]), array([ 6.,  7.])]

Links:

https://docs.scipy.org/doc/numpy-1.11.0/reference/generated/numpy.array_split.html

doc_NumPy

2025-01-10 15:47:30

Comments

Popular Articles

numpy.array() numpy.array(object, dtype=None, copy=True, order=None, subok=False, ndmin=0) Create an array. Parameters: object : array_like An array, any obj

numpy.array_equiv() numpy.array_equiv(a1, a2) [source] Returns True if input arrays are shape consistent and all elements equal. Shape consistent means they are eith

numpy.array_repr() numpy.array_repr(arr, max_line_width=None, precision=None, suppress_small=None) [source] Return the string representation of an array. Parameters

numpy.array_str() numpy.array_str(a, max_line_width=None, precision=None, suppress_small=None) [source] Return a string representation of the data in an array. The

numpy.array_equal() numpy.array_equal(a1, a2) [source] True if two arrays have the same shape and elements, False otherwise. Parameters: a1, a2 : array_like Input