Numpy Median

NumPy median

The NumPy library has a numpy.median() method is used to compute the median of an array in sorted order on a specified axis and returns the median of the array…
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Check Numpy Version

How to Check NumPy Version

There are multiple ways to check NumPy version; however, the easiest and PEP8 standard practice is to import numpy and use the numpy.__version__ attribute to get the exact version details.…
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Numpy Flatten

NumPy Flatten

The numpy.ndarray.flatten() in the NumPy array library is used to flatten an array of elements in different orders. The flattening of a NumPy n-dimensional array in python is a procedure to return a copy of an…
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Numpy Mean

NumPy mean()

The numpy.mean() is a built-in method in the NumPy library that is used to calculate the mean of an array of elements along with an axis. In NumPy array library…
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Numpy Average

NumPy Average

The Python NumPy array library uses the numpy.average() method for computing the weighted average of a NumPy n-dimensional array along the specified axis. The average in linear algebra is the…
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Numpy Repeat

NumPy Repeat

The numpy.repeat() method takes the repetitions (int) as an input argument, repeats the elements of an array, and returns an array as output. The repetitions can happen row and column-wise…
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Numpy Transpose

NumPy Transpose

The numpy.transpose() method takes the array as an input, reverses its dimension, and returns the transposed array. In simple terms, the NumPy transpose swaps the rows and columns and returns…
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Numpy Shape

NumPy Shape

The NumPy array library has a built-in method numpy.shape()that will return the shape of the array. The shape of the array is the elements in each dimension. Dimension is the count of…
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Numpy.argmax() In Python

numpy.argmax() in Python

The numpy.argmax() function returns the indices of the maximum values along an axis. In case of multiple occurrences of the maximum values, the indices corresponding to the first occurrence will be returned.…
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