numpy.diff(arr[, n[, axis]]) Hardware monitor 5 53 – hardware monitoring sensor app. function is used when we calculate the n-th order discrete difference along the given axis. The first order difference is given by out[i] = arr[i+1] – arr[i] along the given axis. If we have to calculate higher differences, we are using diff recursively.
Synatx: numpy.diff()
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Parameters:
arr : [array_like] Input array.
n : [int, optional] The number of times values are differenced.
axis : [int, optional] The axis along which the difference is taken, default is the last axis. Itext pro 1 2 5. Forecast bar weather radar and alerts 2 9.
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Returns : [ndarray]The n-th discrete difference. The output is the same as a except along axis where the dimension is smaller by n.
Code #1 :
# numpy.diff() method importnumpy as geek # input array print('First order difference : ', geek.diff(arr)) print('Second order difference : ', geek.diff(arr, n =2)) print('Third order difference : ', geek.diff(arr, n =3)) |
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Code #2 : Jitouch 2 63 download free.
# numpy.diff() method importnumpy as geek # input array print('Difference when axis is 0 : ', geek.diff(arr, axis =0)) print('Difference when axis is 1 : ', geek.diff(arr, axis =1)) |
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