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1. realpython.com › numpy-max-maximumNumPy's max() and maximum(): Find Extreme Values in Arrays

   realpython.com › numpy-max-maximum

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   In this introduction to NumPy, you'll learn how to find extreme values using the max () and maximum () functions. This includes finding the maximum element in an array or along a given axis of an array, as well as comparing two arrays to find the larger element in each index position.

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3. stackoverflow.com › questions › 3584243python - Get the position of the largest value in a multi ...

   stackoverflow.com › questions › 3584243

   Oct 21, 2020 · An alternative way is change numpy array to list and use max and index methods: List = np.array([34, 7, 33, 10, 89, 22, -5]) _max = List.tolist().index(max(List)) _max >>> 4

4. blog.finxter.com › 5-best-ways-to-find-the-maximum5 Best Ways to Find the Maximum Value in a Python Array

   blog.finxter.com › 5-best-ways-to-find-the-maximum

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   Mar 3, 2024 · The max() function is Python’s built-in method designed to find the largest item between two or more parameters, which makes it perfect for finding the highest value in a list or array. This function returns the largest item in an iterable or the largest of two or more arguments.

5. numpy.org › doc › stableNumPy: the absolute basics for beginners — NumPy v2.1 Manual

   numpy.org › doc › stable

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   To get the indices of unique values in a NumPy array (an array of first index positions of unique values in the array), just pass the return_index argument in np.unique() as well as your array. >>> unique_values , indices_list = np . unique ( a , return_index = True ) >>> print ( indices_list ) [ 0 2 3 4 5 6 7 12 13 14]

6. www.programiz.com › python-programming › numpyNumPy Arithmetic Array Operations (With Examples) - Programiz

   www.programiz.com › python-programming › numpy

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   NumPy's arithmetic operations are widely used due to their ability to perform simple and efficient calculations on arrays. In this tutorial, we will explore some commonly used arithmetic operations in NumPy and learn how to use them to manipulate arrays.

7. numpy.org › doc › stablenumpy.maximum — NumPy v2.1 Manual

   numpy.org › doc › stable

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   numpy.maximum(x1, x2, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature]) = <ufunc 'maximum'> #. Element-wise maximum of array elements. Compare two arrays and return a new array containing the element-wise maxima.

8. People also ask

   How to calculate maximum value in NumPy array in Python?

   • Python also has a built-in max() function that can calculate maximum values of iterables. You can use this built-in max() to find the maximum element in a one-dimensional NumPy array, but it has no support for arrays with more dimensions. When dealing with NumPy arrays, you should stick to NumPy’s own maximum functions and methods.

   NumPy's max() and maximum(): Find Extreme Values in Arrays

   realpython.com/numpy-max-maximum/

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   What is a max() function in Python?

   • The max() function is Python’s built-in method designed to find the largest item between two or more parameters, which makes it perfect for finding the highest value in a list or array. This function returns the largest item in an iterable or the largest of two or more arguments. Here’s an example: Output:

   5 Best Ways to Find the Maximum Value in a Python Array

   blog.finxter.com/5-best-ways-to-find-the-maximum-value-in-a-python-array/

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   How to find maximum value in Python?

   • Output: This snippet initializes an array named numbers and uses Python’s max() function to determine the highest number. The maximum value is then stored in the variable max_value and is printed. Sorting the array and then selecting the last element can also be used to find the maximum value.

   5 Best Ways to Find the Maximum Value in a Python Array

   blog.finxter.com/5-best-ways-to-find-the-maximum-value-in-a-python-array/

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   How to get the index of the maximum value of an array?

   • NumPy proposes a way to get the index of the maximum value of an array via np.argmax. I would like a similar thing, but returning the indexes of the N maximum values. For instance, if I have an array, [1, 3, 2, 4, 5], then nargmax (array, n=3) would return the indices [4, 3, 1] which correspond to the elements [5, 4, 3].

   How do I get indices of N maximum values in a NumPy array?

   stackoverflow.com/questions/6910641/how-do-i-get-indices-of-n-maximum-values-in-a-numpy-array

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   What is a maximum() function?

   • As before, each call to .max() returns an array of maximum scores for all the students in the relevant class, one element for each test. But this time, you’re feeding those returned arrays into the maximum() function, which compares the two arrays and returns the higher score for each test across the arrays.

   NumPy's max() and maximum(): Find Extreme Values in Arrays

   realpython.com/numpy-max-maximum/

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   What is NumPy max() & maximum()?

   • The NumPy max() and maximum() functions are two examples of how NumPy lets you combine the coding comfort offered by Python with the runtime efficiency you’d expect from C. In this tutorial, you’ll learn how to: This tutorial includes a very short introduction to NumPy, so even if you’ve never used NumPy before, you should be able to jump right in.

   NumPy's max() and maximum(): Find Extreme Values in Arrays

   realpython.com/numpy-max-maximum/

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9. realpython.com › python-arrayPython's Array: Working With Numeric Data Efficiently

   realpython.com › python-array

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   In this tutorial, you'll dive deep into working with numeric arrays in Python, an efficient tool for handling binary data. Along the way, you'll explore low-level data types exposed by the array module, emulate custom types, and even pass a Python array to C for high-performance processing.