Learning numpy The best library to analyze your data part 1
Hello Everyone
Today I will talk about numpy and How to analyze data using it.
Introduction
What is NumPy? NumPy is a Python library used for working with arrays. It also has functions for working in domain of linear algebra, Fourier transform, and matrices. NumPy was created in 2005 by Travis Oliphant. It is an open source project and you can use it freely.
How to use it?
First you must install it using pip(Python must be installed and pip must be added to the path)
Run The following command in the terminal or the command prompt:
pip install numpy
Then if you want to use it you must call it as following:
import numpy as np # To be easy to call it
Numpy Intro
Now First Thing you must know that numpy creates its own array as following:
import numpy as np arr = np.array([1,2,3,4,5,6]) print(arr)
Output: [1 2 3 4 5 6]
And If you want to call one index you call it as usual !
Array Slicing
You can take a part of the array very easy as following:
import numpy as np
indexes 0,1,2,3,4,5
arr = np.array([1,2,3,4,5,6]) print(arr[:2]) # To get first two values
Output: [1,2]
print(arr[2:]) # To get the values from index 2 to the last
Output: [3,4,5,6]
print(arr[2:5]) # To get the values from index 2 to 5
Output: [3,4,5,6]
End
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Bye