List of Python Numpy methods with Format and Example

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here you will get the Python numpy functions with the format additionally,
mostly used python numpy functions with the example and alternate example.
Also to explain it in a better way.

#importing numpy

import numpy as np
in the example, we will { np }

np.all(element)

code Example:

a =np.array([1,2,4])
print(np.all(a))

#output
>> true

a =np.array([1,2,0])
print(np.all(a))

#output
>> false

Explanation: all function returns True. if all elements of the input array evaluate as True. if the array will have 0 it will give false.

np.any(element)

code Example:

a = np.array([1,2,0])
print(np.any(a))

#output
>> true

a = np.array[0,0,0]
print(np.any(a))

#output
>> false

Explanation: any function, returns True if any element of the input array evaluate as True. if the array will have all 0, then it will give false.

np.argmax(element)

code Example:

a = np.array([1,2,0])
print(np.argmax(a))

#output
>> 1

Explanation: argmax function, returns the indices of the maximum value along an axis.

np.argmin(element)

code Example:

a = np.array([1,2,0])
print(np.argmin(a))

#output
>> 2

Explanation: argmin function, returns the indices of the minimum value along an axis.

np.argmax(element)

code Example:

a = np.array([1,2,0])
print(np.argsort(a))

#output
>> [2,0,1]

Explanation: argsort function, returns the indices that would sort an array

np.round(element)

code Example:

a = np.array([1.0093,2.0232,0.9890])
print(np.round(a,2))

#output
>> [1.01 2.02 0.99]

Explanation: round function, round off the elements of the array to the given decimal points, in this case, it is 2.

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