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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Checking whether a NumPy array contains a given row
schedule Aug 10, 2023
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To check whether a NumPy array contains an instance of a particular row we can use the tolist(~) method.
Example
Consider the following 2D array:
array([[5, 6], [7, 8]])
To check whether the above array contains the row [5,6], first we convert the NumPy array to a standard Python list using tolist(~):
a = np.array([[5,6],[7,8]])a.tolist()
[[5, 6], [7, 8]]
Next we use the in operator to check whether [5,6] is part of the converted Python list:
[5,6] in a.tolist()
True
Here we can see that [5,6] is indeed a row in the original array.
Published by Arthur Yanagisawa
Edited by 0 others
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