NumPy ufuncLesson 37Free preview

ufunc Summations

This lesson is part of NumPy · All levels

Summary

Np.sum sums all of the elements of the array or along a particular axis, whereas np.cumsum results in a cumulative running from each position. A similar concept applies to multiplication by np.prod and np.cumprod. The axis parameter specifies the direction of the calculation: 0 per column and 1 per line.

Key points

Np.sum sums all the elements or along a given axis.
Np.cumsum produces a series of cumulative running numbers.
The parameter axis = 0 counts per column, axis = 1 per line.
The dtype parameter can be used to make the addition of a particular type.

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