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Course Content
Array
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Content of this Chapter
Array
Creating empty one-D array
Accessing One-D array elements
Accessing Array Elements using for loop
Accessing array using while loop
NumPy
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NumPy
Download & install numPy
Check numPy Installation
Creation Numpy Array (One Dimensional)
Creation Numpy Array (Two Dimensional)
Array Attribute
ndim, Shape, Size
Dtype,  itemsize, Reshape
Numpy functions
Function 2
Array From Numerical Ranges
Np. Arrange
Np.linspace
Numpy.logspace
Arithmetic Operation on Array
Numpy Functions
Shuffle, Unique, Unique size
Joining & Spliting
Joining & Spliting
Indexing of 2 dimensional array
Create 2 Dimensional Array Using User Input
Slicing in 1 Dimensional Array
Slicing of 2 Dimensional Array
3-D arrays
Checking the Data Type of an Array
NumPy Basic in Python (Chapter-13) M3-R5

Slicing of 2 Dimensional Array:-

 

#Slicing in 2D array

import numpy as np

a=np.array([[10,20,30],[40,50,60],[70,80,90]])

print(a)

print(a[:2,::2])

Output:-

[[10 20 30]

 [40 50 60]

 [70 80 90]]

[[10 30]

 [40 60]]

 

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