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1. numpy.org › doc › stableIndexing on ndarrays — NumPy v2.1 Manual

   numpy.org › doc › stable

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   ndarrays can be indexed using the standard Python x [obj] syntax, where x is the array and obj the selection. There are different kinds of indexing available depending on obj: basic indexing, advanced indexing and field access. Most of the following examples show the use of indexing when referencing data in an array.

   • Data Types

     Note that, above, we could have used the Python float object...

   • Array Creation

     The ndarray creation functions e.g. numpy.ones, numpy.zeros,...

   • The Absolute Basics for Beginners

     NumPy: the absolute basics for beginners#. Welcome to the...

   • NumPy How-tos

     NumPy tutorials; NumPy how-tos. How to write a NumPy how-to;...

   • NumPy Fundamentals

     NumPy fundamentals# These documents clarify concepts, design...

   • Copies and Views

     Copies and views#. When operating on NumPy arrays, it is...

   • Interoperability with NumPy

     Interoperability with NumPy#. NumPy’s ndarray objects...

   • I/O with NumPy

     NumPy for MATLAB users; NumPy tutorials; NumPy how-tos;...

2. stackoverflow.com › questions › 44587746Length of each string in a NumPy array - Stack Overflow

   stackoverflow.com › questions › 44587746

   16 cze 2017 · Using str_len from Numpy: sizes = np.char.str_len(arr) str_len documentation: https://numpy.org/devdocs/reference/generated/numpy.char.str_len.html

3. numpy.org › doc › stableHow to index ndarrays — NumPy v2.1 Manual

   numpy.org › doc › stable

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   This page tackles common examples. For an in-depth look into indexing, refer to Indexing on ndarrays. Access specific/arbitrary rows and columns# Use Basic indexing features like Slicing and striding, and Dimensional indexing tools.

4. numpy.org › doc › stablenumpy.strings.str_len — NumPy v2.1 Manual

   numpy.org › doc › stable

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   Returns the length of each element. For byte strings, this is the number of bytes, while, for Unicode strings, it is the number of Unicode code points. Parameters: xarray_like, with StringDType, bytes_, or str_ dtype. outndarray, None, or tuple of ndarray and None, optional. A location into which the result is stored.

5. docs.scipy.org › doc › numpy-1Indexing — NumPy v1.8 Manual - SciPy.org

   docs.scipy.org › doc › numpy-1

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   26 mar 2014 · ndarrays can be indexed using the standard Python x [obj] syntax, where x is the array and obj the selection. There are three kinds of indexing available: record access, basic slicing, advanced indexing. Which one occurs depends on obj. Note.

6. note.nkmk.me › en › python-numpy-select-element-row-column-arrayNumPy: Get and set values in an array using various indexing

   note.nkmk.me › en › python-numpy-select-element-row-column-array

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   7 lut 2024 · This article explains how to get and set values, such as individual elements or subarrays (e.g., rows or columns), in a NumPy array (ndarray) using various indexing. Indexing on ndarrays — NumPy v1.2 ...

7. www.slingacademy.com › article › how-to-perform-advanced-array-indexing-in-numpyHow to Perform Advanced Array Indexing in NumPy

   www.slingacademy.com › article › how-to-perform-advanced-array-indexing-in-numpy

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   23 sty 2024 · In this tutorial, we’ve explored several advanced array indexing techniques provided by NumPy, each with its distinct use-cases. Combined appropriately, they offer you powerful ways to select and manipulate data within arrays.