numpy.recarray.cumsum() returns the accumulated sum of array elements along a given axis.
numpy.recarray.cumsum (axis = None, dtype = None, out = None)
axis: The axis along which the cumulative sum is calculated. By default, the sum of the smoothed array is calculated.
dtype: the type of the returned array, as well as the accumulator by which the elements are multiplied.
out: [ndarray, optional] Location where the result is stored.
- & gt; If provided, it should have the form to which the inputs are translated.
- & gt; If not specified or None, the newly allocated array is returned.
Return: Returns a new array containing the result, unless out is specified, in which case it is returned. P >
Code # 1:
# Python program explaining
# numpy.recarray.cumsum () method
# import numy as geek
numpy as geek
# create an input array with two different fields
2< code class = "plain">), (
, code >
# convert it to array of posts,
# using arr.view (np.recarray)
"Record array of float:"
, rec_arr.a )
"Record array of int: "
# applying recarray.cumsum methods
# place an array of posts along axis 1
1 code >
"Output array along axis 1:"
# using recarray.cumsum methods
# into an array of int records along the default axisp>
rec_arr.b.cumsum () code >
" Output array along default axis: "
Output:Input array: [[(5., 2) (3., -4) (6., 9)] [( 9., 1) (5., 4) (-12., -7)]] Record array of float: [[5. 3. 6.] [9. 5. -12.]] Record array of int: [[2 -4 9] [1 4 -7]] Output array along axis 1: [[5. 8. 14.] [9. 14. 2.]] Output array along default axis: [2 -2 7 8 12 5]
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