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    Slicing in NumPy allows you to extract a portion of an array by specifying a range of indices. This is useful for accessing and manipulating subsets of data within an array. The basic syntax for slicing is array[start:stop:step], where:

    • start is the index of the first element to include.

    • stop is the index of the last element to exclude.

    • step is the interval between elements.

    Basic Slicing

    To slice a 1D array, you can use the following examples:

    import numpy as np

    arr = np.array([1, 2, 3, 4, 5, 6, 7])
    print(arr[1:5]) # Output: [2 3 4 5]
    print(arr[4:]) # Output: [5 6 7]
    print(arr[:4]) # Output: [1 2 3 4]
    অনুলিপি করা হয়েছে!

    In these examples, arr[1:5] slices elements from index 1 to 4, arr[4:] slices from index 4 to the end, and arr[:4] slices from the beginning to index 3.

    Negative Slicing

    You can also use negative indices to slice from the end of the array:

    print(arr[-3:-1]) # Output: [5 6]
    অনুলিপি করা হয়েছে!

    Here, arr[-3:-1] slices elements from the third last to the second last.

    Slicing with Step

    The step parameter allows you to specify the interval between elements:

    উত্স ডোমেনের লোগোGitHub
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    Indexing on ndarrays — NumPy v2.4 Manual

    All arrays generated by basic slicing are always views of the original array. NumPy slicing creates a view instead of a copy as in the case of built-in Python sequences s…

    NumPy
    How to slice a NumPy array?
    In a 1-D NumPy array, slicing is performed using the [start:stop: step] notation. Output: Now, let's move on to slicing multi-dimensional arrays. Python NumPy allows you to slice arrays along each axis independently. This means you can extract rows, columns, or specific elements from a multi-dimensional array with ease.
    geeksforgeeks.org
  1. GeeksForGeeks
    https://www.geeksforgeeks.org › ... …এই ফলাফলটি অনুবাদ করুন

    Python slicing multi-dimensional arrays - GeeksforGeeks

    23 জুলাই, 2025 · Python NumPy allows you to slice arrays along each axis independently. This means you can extract rows, columns, or specific elements …

  2. W3School
    https://www.w3schools.com › python › numpy › numpy…এই ফলাফলটি অনুবাদ করুন

    NumPy Array Slicing - W3Schools

    Example Slice elements from index 4 to the end of the array: import numpy as np arr = np.array ( [1, 2, 3, 4, 5, 6, 7]) print(arr [4:]) Try it Yourself »

    Code sample

    import numpy as np
    arr = np.array([1, 2, 3, 4, 5, 6, 7])
    print(arr[1:5])...
  3. এছাড়াও লোকেরা জানতে চায়
    মতামত
  4. NumPy
    https://numpy.org › doc › stable › user › basics.indexin…এই ফলাফলটি অনুবাদ করুন

    Indexing on ndarrays — NumPy v2.4 Manual

    All arrays generated by basic slicing are always views of the original array. NumPy slicing creates a view instead of a copy as in the case of built-in Python sequences such as string, tuple and list.

  5. Jay Alammar
    https://jalammar.github.io › visual-numpyএই ফলাফলটি অনুবাদ করুন

    A Visual Intro to NumPy and Data Representation

    • NumPy can do everything we’ve mentioned in any number of dimensions. Its central data structure is called ndarray (N-Dimensional Array) for a reason. In a lot of ways, dealing with a new dimension is just adding a comma to the parameters of a NumPy function: Note: Keep in mind that when you print a 3-dimensional NumPy array, the text output visuali...
    jalammar.github.io-এ আরও দেখুন
  6. Programiz
    https://www.programiz.com › python-programming › n…এই ফলাফলটি অনুবাদ করুন

    NumPy Array Slicing (With Examples) - Programiz

    A 2D NumPy array can be thought of as a matrix, where each element has two indices, row index and column index. To slice a 2D NumPy array, we can use the same syntax as for slicing a 1D NumPy array.

  7. Medium
    https://medium.comএই ফলাফলটি অনুবাদ করুন

    Understanding NumPy Slicing with Examples - Medium

    25 জানু, 2025 · When you slice a NumPy array, it doesn’t create a new copy — it creates a view of the original array. This means that changes made to the slice …

  8. coderivers.org
    https://coderivers.org › python › numpy › numpy-array-s…এই ফলাফলটি অনুবাদ করুন

    Numpy Array Slicing: A Comprehensive Guide - CodeRivers

    NumPy (Numerical Python) is a fundamental library for scientific computing in Python. One of its most powerful features is array slicing, which allows you to extract and manipulate specific subsets of data …

  9. YouTube
    https://www.youtube.com › watchএই ফলাফলটি অনুবাদ করুন

    NumPy Crash Course: Slicing Arrays & Performing Fast ... - YouTube

    First, we demonstrate how to slice both 1D and 2D arrays in NumPy using : notation. You’ll learn how to extract subarrays, access specific rows and columns, and reshape data using slicing....

  10. TutorialsPoint
    https://www.tutorialspoint.com › numpy › numpy_slicin…এই ফলাফলটি অনুবাদ করুন

    NumPy - Slicing - Online Tutorials Library

    Slicing is the way to extract a subset of data from a NumPy array. It can be performed on one or more dimensions of a NumPy array. We can define which part of the array to be sliced by specifying the …

  11. DataCamp
    https://www.datacamp.com › doc › numpy › array-slicingএই ফলাফলটি অনুবাদ করুন

    NumPy Array Slicing - DataCamp

    Learn the essentials of NumPy slicing with practical examples. This guide covers techniques for efficient data manipulation, enhancing your Python programming skills with precise array indexing …

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