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- The maximum() function is used to find the maximum value between the corresponding elements of two arrays. Example import numpy as np array1 = np.array([1, 2, 3, 4, 5]) array2 = np.array([2, 4, 1, 5, 3]) # find the element-wise maximum of array1 and array2 result = np.maximum(array1, array2) print(result)
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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.
The maximum() function is used to find the maximum value between the corresponding elements of two arrays. Example import numpy as np array1 = np.array([1, 2, 3, 4, 5]) array2 = np.array([2, 4, 1, 5, 3])
Jan 2, 2017 · You can use np.where(x == np.max(x)). For example: >>> x = np.array([[1,2,3],[2,3,4],[1,3,1]]) >>> x array([[1, 2, 3], [2, 3, 4], [1, 3, 1]]) >>> np.where(x == np.max(x)) (array([1]), array([2])) The first value is the row number, the second number is the column number.
- Numpy – Maximum Value in Array
- Syntax
- Examples
- Summary
Given a numpy array, you can find the maximum value of all elements in the array. To get the maximum value of a NumPy Array, you can use numpy.max()function.
The syntax of max() function as given below. Pass the numpy array as argument to numpy.max(), and this function shall return the maximum value.
1. Maximum value of numpy array
In this example, we will take a numpy array with random numbers and then find the maximum of the array using numpy.max() function. Output
2. Maximum value of numpy array with float values
In the following example, we will take a numpy array with random float values and then find the maximum of the array using max() function. Output
In this Numpy Tutorial, we learned how to find the maximum value in Numpy Array using numpy.max() function, with well detailed examples.
Sep 27, 2023 · The numpy.max() function is a versatile tool for finding the maximum value in arrays. In this tutorial, we have discussed numpy.max() function provided by Python’s NumPy library and also explored three ways to find the maximum element in the array using numpy.max() function with examples.
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.
Feb 20, 2024 · The numpy.amax() function is one of the simplest ways to find the maximum value in a NumPy array. It works with arrays of any shape and can return the max value across the entire array or along a specified axis. The function takes the array and an optional axis argument. Here’s an example:
