Aggregation in Numpy

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 What is Aggregation?

              It combines the multiple values together and forms a single value. The value depends on the operation.

Let us implement some aggregate functions in numpy using python.

Implementation:

              This program includes the numpy object. It creates an array of elements.

It has following functions to provide aggregate functions.

Sum : adds all elements together.

Mean: finds the mean value.

Median: finds the middle highest value.

Min: it gives you the minimum value.

Max: it gives you the maximum value.

Std: it calculates the standard deviation.

Argmin: it displays index of minimum value.

Argmax: it gives you the index of maximum value.

Code:

import numpy as np1

s_arr = np1.array([11,12,13,14,15,16,17])

print("The original array is:",s_arr)

a_sum = np1.sum(s_arr)

a_mean=np1.mean(s_arr)

a_min =np1.min(s_arr)

a_max = np1.max(s_arr)

a_std =np1.std(s_arr)

a_argmin = np1.argmin(s_arr)

a_argmax = np1.argmax(s_arr)

print("The sum of all elements:",a_sum)

print("The mean value of the array:",a_mean)

print("The minimum value of the array:",a_min)

print("The maximum value of the array:",a_max)

print("The standard deviation:",a_std)

print("The index of the minimum value:",a_min)

print("The index of the maximum value:",a_max)

Output:

The original array is: [11 12 13 14 15 16 17]

The sum of all elements: 98

The mean value of the array: 14.0

The minimum value of the array: 11

The maximum value of the array: 17

The standard deviation: 2.0

The index of the minimum value: 11

The index of the maximum value: 17

Let us create some other functions

Row_wise aggregation and Column-wise aggregation:

              These functions calculate row-wise and column-wise aggregation.

Code:

import numpy as np1

arr2 = np1.array([

    [3, 2, 1],

    [6, 5, 4]

])

print("Column wise Aggregation:",np1.sum(arr2, axis=0))

print("Row wise aggregation:",np1.sum(arr2, axis=1))

Output:

Column wise Aggregation: [9 7 5]

Row wise aggregation: [ 6 15]

This is the way of using Aggregation in python using Numpy. Hope, you understood the code. Keep coding!!!

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