Summations - WTMatter

Summations - WTMatter

Summations – NumPy uFuncs (Python Tutorial): This is a detailed tutorial of the NumPy Summations Universal Functions. Learn the usage of these functions with the help of examples.

NumPy Summations

The summation is the addition of a sequence of any kind of element or numbers where these elements and numbers are addends or summands. The result of this summation is their sum or total.

There is a difference between Addition and Summation as in addition it happens between two arguments or numbers whereas summation happens over n elements.

We will take an example for both cases of addition and summation, which help us in understanding in a better way.

We see in these examples, and we get to know the difference as when we add the corresponding values are added. Whereas if we sum up, it will give us some of all the values present in the two arrays.

Summation Over an Axis

When we want to add up the values as per the array, they are present in we use axis. In this, if the value for the axis is given as one, then NumPy will sum the numbers in each array.

Cumulative sum

In the cumulative sum, we add up the elements in an array but partially. Which means every number in the result will be sum the numbers before it. This can be done with the help of the cumsum() Function.

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