numpy.reshape() in Python The numpy.reshape() function is available in NumPy package. As the name suggests, reshape means ‘changes in shape’. The numpy.reshape()…
Tag:
statistical functions
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numpy.zeros() in Python The numpy.zeros() function is one of the most significant functions which is used in machine learning programs widely. This…
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numpy.matlib.empty() This function is used to return a new matrix with the uninitialized entries. Syntax numpy.matlib.empty(shape,dtype,order) Parameters It accepts the following parameters.…
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Numpy rint() This function is used to round the array elements to the nearest integer. Syntax numpy.rint(array) Parameters array: Array elements whose…
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numpy.matlib.eye() This function returns a matrix with the diagonal elements initialized to 1 and zero elsewhere. Syntax numpy.matlib.eye(n, m, k, dtype) Parameters…
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numpy.save() in Python The numpy module of Python provides a function called numpy.save() to save an array into a binary file in…
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numpy.matlib.identity() This function is used to return an identity matrix of the given size. An identity matrix is the one with diagonal…
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numpy.sort in Python In some cases, we require a sorted array for computation. For this purpose, the numpy module of Python provides…
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numpy.matlib.ones() This function is used to return a new matrix with the values initialized to ones. Syntax numpy.matlib.ones(shape,dtype,order) Parameters It accepts the…
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NumPy Sorting and Searching Numpy provides a variety of functions for sorting and searching. There are various sorting algorithms like quicksort, merge…