In this tutorial, you will learn
1. How to import the Numpy library?
2. How to create a Numpy Array?
3. How to create create a Numpy array of Zeroes?
4. How to create a Numpy array of Ones?
5. How to perform Mathematical Operations on Numpy Array?
6. How to perform Indexing and Slicing on Numpy Arrays?
7. How to find the Shape of Numpy Array?
8. How to change the shape of a Numpy Array?
9. How to Stack Numpy Arrays?
10. How to Stack Numpy Arrays along Column?
11. How to Split a Numpy Array?
12. How to Copy a Numpy Array?
13. How to create Views in Numpy Array?
1. Import the Libraries
import numpy as np
2. Create a Numpy Array
numpy_array=np.array([1,2,3,4,5]) numpy_array
3. Create a Numpy Array of Zeroes
np.zeros((3,3))
4. Create a Numpy Array of Ones
np.ones((3,3))
5. Operations on Numpy Array
Mathematical operations such as Addition, Subtraction, Multiplication, Division, Dot Product can be applied on numpy arrays.
numpy_array1=np.array([1,2,3,4,5,6,7,8]) numpy_array2=np.array([1,1,1,1,1,1,1,1])
print(numpy_array1-numpy_array2) print(numpy_array1+numpy_array2) print(numpy_array1/numpy_array2) print(numpy_array1*numpy_array2)
6. Indexing and Slicing on Numpy Arrays
Slicing and Indexing helps in manipulation of the numpy arrays easily.
numpy_array1[5]
numpy_array1[:5]
numpy_array1[5:]
numpy_array1[2:5]
7. Shape of Numpy Array
numpy_array1.shape
8. Change the shape of Numpy Array
numpy_array_example=np.array([[1,2,3,4],[5,6,7,8]]) numpy_array_example
numpy_array_example.reshape(4,2)
numpy_array_example.reshape(-1,2)
9. Stack Numpy Arrays
np.vstack((numpy_array1,numpy_array2))
10. Stack Numpy Arrays along Column
from numpy import newaxis np.column_stack((numpy_array1,numpy_array2))
11. Split Numpy Array
split_example=np.array([[1,2,3,4],[5,6,7,8]]) split_example
np.hsplit(split_example,4)
The array has been split into four equal parts.
12. Copy Numpy Array
numpy_array1 numpy_array3 = numpy_array1 numpy_array3 is numpy_array1
numpy_array3 and numpy_array1 both are same. New object has not been created.
numpy_array3=numpy_array1.copy() numpy_array3
13. Views in Numpy Array
numpy_array3 = numpy_array1.view() numpy_array3 is numpy_array1
Summary
1. Zeros: To create a Numpy Array of Zeros.
2. Ones : To create a Numpy Array of Ones
3. Shape : To get the shape of Numpy Array.
4. Stack : To stack the numpy arrays.
5. Column_Stack : To stack the numpy arrays long the column.
6. Hsplit : To split the numpy array into equal parts.
7. Copy : To create a new object in numpy array.
8. View : To create a new view in numpy array.
You can find the Github link here.