NumPy Array Indexing – Numpy In Hindi

NumPy Array Indexing – Numpy In Hindi – Array Indexing Karne Ke Liye Hame Keval Index Number Dena Hota Hai And Indexing 0 Se Start Hoti Hai |

What Is Indexing – Indexing Keval List Ya Array Me Se Kisi Ek Particular Number Ko Access Karne Ke Liye Istemal Hoti Hai Or Ham Ise Hi Indexing Kahte Hai |

NumPy Array Indexing in Hindi

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Numpy Array Me Index 0 Se start Hota Hai Or Numpy Me Ham Indexing 1-D Array Or 2-D Array And 3-D Array Me Kar Sakte Hain. Inhe Ham Example Ke Sath Dekhte Hai |

1-D Array Indexing In Hindi

Example 1:

Ham 1-D Array Me Third Element Access Kar Rahe Hai.

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

Output:

3

Example 2:

Ab Ham Indexing Ke Sath Two Elements Ko Add Karne Wale Hain |

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

Output:

7

Also Read – Create Numpy Arrays Using Functions

2-D Array Indexing In Hindi

2-D Array Ke Sath Indexing Karne ke Liye Sabse Pahle Aapko Row, Column Dena Hota Hai |

Example 1:

import numpy as np
arr = np.array([[1,2,3,4,5], [6,7,8,9,10]])
print('2nd element on 1st List: ', arr[0, 1])

Output:

2nd element on 1st List:  2

Example 2:

import numpy as np
arr = np.array([[1,2,3,4,5], [6,7,8,9,10]])
print('2nd element on 1st List: ', arr[1, 3])

Output:

4th element on 2nd List:  9

3-D Array Indexing In Hindi

Example:

import numpy as np
arr = np.array([[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]])
print(arr[0, 1, 1])

Output:

5

arr[0, 1, 1] prints the value 5.

Also Read – NumPy – Environment + Setup + Anaconda

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