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http://python-simple.com/python-numpy/manipulation-array.php

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Manipulation des arrays - python-simple.com

array([[1, 2], [4, 5]]) attention, quand on fait b = a[0:2,0:2], b n'est pas une copie de a, mais une "vue" sur a : si on modifie b, cela modifie a (et réciproquement) ! on peut utiliser des arrays pour récupérer certains éléments : a[numpy.array([0, 1, 0]), numpy.array([0, 2, 2])] donne array([1, 6, 3]). a[[0, 1, 0], [0, 2, 2]] marche aussi.

https://www.geeksforgeeks.org/numpy-indexing/

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Numpy Array Indexing - GeeksforGeeks

Here arr[1:4] slices the array starting at index 1 up to (but not including) index 4 so it returns the elements [1, 2, 3]. Slicing Multidimensional Arrays: In this slicing can be applied to each dimension separately which allows us to extract submatrices or smaller blocks of data. Python

https://stackoverflow.com/questions/26871215/array-as-index-in-py...

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Array as index in Python - Stack Overflow

If you want this purely in Python, you could use filter to filter out those entries in your data list that contain a 1 in the corresponding entries of mask.Make a list of tuples that combine the data and mask together, use filter and use the first element of each tuple to determine which elements in this list of tuples to keep, then simply extract the data part when you're done using map.

https://pythonguides.com/python-numpy-replace/

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Replace Values in NumPy Array by Index in Python - Python Guides

Methods to Replace Values in NumPy Array by Index in Python. Now I will explain some methods to replace values in a NumPy array by index in Python. Read np.diff() Function in Python. Method 1 – Simple Indexing for Single Value Replacement. The most basic way to replace a value in a NumPy array is by using simple indexing in Python.

https://iifx.dev/en/articles/35074103

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python - NumPy: Finding the First Occurrence of a Value in an Array

import numpy as np: This line imports the NumPy library, which is essential for working with arrays in Python. The as np part creates a shorter alias for the library, making it easier to use in the code. Create a Sample Array. arr = np.array([1, 2, 3, 2, 4, 2]): This line creates a NumPy array named arr containing the values [1, 2, 3, 2, 4, 2].

https://www.analyticsvidhya.com/blog/2025/05/python-slicing/

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Python Slicing: 9 Useful Methods for Everyday Coding - Analytics Vidhya

Like the basic slicing, it allows us to slice through the array from index 1 to 4 (exclusive), just like the regular Python Slicing. It also allows to perform all the other operations discussed above, in arrays as well. # Slice every second element from the array print(arr[::2]) # Output: [10 30 50] Slicing through Multi-dimensional Arrays

https://www.geeksforgeeks.org/python-list-index/

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Python List index() – Find Index of Item | GeeksforGeeks

Since "dog" is at index 1, it returns 1. Syntax of List index() method. list.index(element, start, end) Parameters: element (required): The item to search for. start (optional): Index to start the search from (default is 0). end (optional): Index to end the search (exclusive, default is end of list). Returns: The first index of element in the ...

http://python-simple.com/python-numpy/indexation-sort-indices-num...

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Indexation et tris en numpy - python-simple.com

Pour conserver toutes les lignes ou colonnes sauf une d'une array 2d : numpy.delete(ar, 2, axis = 0): renvoie une array sans la 3ème ligne (retourne une copie indépendante). 0 est l'axis. numpy.delete(ar, 2, axis = 1): renvoie une array sans la 3ème colonne (retourne une copie indépendante). 1 est l'axis. numpy.delete(ar, [0, 2], axis = 0): renvoie une array sans les lignes 1 et 3.

https://www.mygreatlearning.com/blog/python-array/

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Python Array & How To Use Them [With Examples] - Great Learning

Typecode Mapping: Python’s array module requires specifying a typecode to define the type of data: import array arr = array.array(‘i’, [1, 2, 3]) # ‘i’ = signed int; Buffer Interface Compatibility: Arrays support Python’s buffer interface, allowing fast communication with I/O operations and libraries like NumPy or struct.

https://pythonguides.com/python-numpy-indexing/

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NumPy Reset Index - Python Guides

Read np.genfromtxt() Function in Python. Method 1 – Use Simple Slicing. NumPy arrays are indexed differently from pandas DataFrames. When you filter a Python NumPy array, it creates a view or copy with only the selected elements, but doesn’t maintain any concept of the original indices. Let’s see this with an example:

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