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Numpy

Numpy

Introduction

  • Numpy is an abbreviated form of Numerical Python or Numeric Python.
  • It is the most basic yet powerful package for scientific computing and data manipulation in Python.
  • It supports large, multidimensional arrays and matrices.
  • It is generally used for Data Analysis and is a part of scientific python.
  • It is an extension module for Python, mostly written in C.

Official Website:https://numpy.org/

Why Numpy?

  • Numpy support N-dimensional array.
  • It consumes less memory.
  • NumPy array is faster than Python List
  • We can create an n-dimensional array in python using numpy.array().
  • Numpy array provide multidimensional slicing on an array
  • Easy for matrix computation
  • In Python Array is not present where list store different types of elements but numpy helps to behave like a normal array to store similar data types.
  • the list need looping to perform scalar operations

Normal List

lst=[1,2,3,4]
#Add 5 to every element
res=[elem+5 for elem in lst]
print(res)
#Result:

Output:

[6, 7, 8, 9]

Using Numpy Array

import numpy as np
lst=np.array([1,2,3,4])
res=lst+5
print(res)

Output:

[6 7 8 9]
  • Consumes Less Memory as Compared to Python List Python List Memory Consumes
import sys
lst=list(range(0,100))
#Add 5 to every element
res=sys.getsizeof(lst)
print(res)

Output:

1008

Numpy Array Memory Consumes

import sys
import numpy as np
lst=np.array(range(0,100))
res=sys.getsizeof(res)
print(res)

Output:

28

Install Numpy Array

  • Open command prompt in windows machine and type following command
pip install numpy
  • After Completion of Installation open Jupyter Notebook or python shell to test whether numpy is properly install or not.
  • Type
import numpy

and hit Enter if it does not give any error then your numpy is installed properly(Do not try on Normal command Prompt use python shell or any idle).

import Numpy in Your Program

write down following line for importing Numpy

import numpy

or Rename Numpy in Import as follows

import numpy as np

Create Simple Numpy Array

  • To Create a simple numpy array use array() function.

Syntax:

import numpy as np
Numpy_array=np.array(<Elements iterative>)

Example:

import numpy as np
np_array=np.array([1,2,3,4,5])

#print Type of Array
print(type(np_array))

#print numpy array
print(np_array)

Output:

<class 'numpy.ndarray'>
[1 2 3 4 5]

numpy