NumPy
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Accessing a value in a 2D arrayAccessing columns of a 2D arrayAccessing rows of a 2D arrayCalculating the determinant of a matrixChecking allowed values for a NumPy data typeChecking if a NumPy array is a view or copyChecking the version of NumPyChecking whether a NumPy array contains a given rowComputing Euclidean distance using NumpyConcatenating 1D arraysConverting array to lowercaseConverting type of NumPy array to stringCreating a copy of an arrayDifference between Python List and Numpy arrayDifference between the methods array_equal and array_equivDifference between the methods mod and fmodDifference between the methods power and float_powerFinding the closest value in an arrayFinding the Index of Largest Value in a Numpy ArrayFinding the Index of Smallest Value in a Numpy ArrayFinding the most frequent value in a NumPy arrayFlattening Numpy arraysGetting constant PiGetting elements from a two dimensional array using two dimensional array of indicesGetting indices of N maximum valuesGetting indices of N minimum valuesGetting the number of columns of a 2D arrayGetting the number of non-zero elements in a NumPy arrayGetting the number of rows of a 2D arrayInitializing an array of onesInitializing an array of zerosInitializing an identity matrixLimiting array values to a certain rangePerforming linear regressionPrinting full or truncated NumPy arrayPrinting large Numpy arrays without truncationRemoving rows containing NaN in a NumPy arrayReversing a NumPy arraySaving NumPy array to a fileShape of Numpy ArraysSorting value of one array according to anotherSuppressing scientific notation
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Limiting array values to a certain range in NumPy
schedule Aug 11, 2023
Last updated local_offer
Tags Python●NumPy
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To limit array values to a certain range in NumPy use the clip(~) method. Using this method, values within the array that fall outside the specified range will be replaced with the provided minimum and maximum values.
NOTE
The resulting clipped array is returned and the original array remains unchanged.
Examples
Specifying both lower and upper bounds
To clip using a lower bound of 2 and upper bound of 4:
Notice how the value 1 was clipped up to 2, while the value 5 is clipped down to 4.
Upper bound only
To clip using an upper bound of 4:
x = np.array([1,2,3,4,5])
array([1, 2, 3, 4, 4])
Note that if you do not want to specify a lower bound None should be passed as the second parameter.
Lower bound only
To clip using a lower bound of 2:
x = np.array([1,2,3,4,5])
array([2, 2, 3, 4, 5])
Published by Arthur Yanagisawa
Edited by 0 others
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