AmitDiwan has Published 10744 Articles

AND every element of a masked array by a given scalar value using __iand__() in Numpy

AmitDiwan

AmitDiwan

Updated on 17-Feb-2022 10:14:48

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To AND every element of a masked array by a given scalar value, use the ma.MaskedArray.__iand__() method in Python Numpy. Returns self&=value. A masked array is the combination of a standard numpy.ndarray and a mask. A mask is either nomask, indicating that no value of the associated array is invalid, ... Read More

Expand the shape of an array over specific axis in Numpy

AmitDiwan

AmitDiwan

Updated on 17-Feb-2022 10:12:30

201 Views

To expand the shape of an array, use the numpy.expand_dims() method. Insert a new axis that will appear at the axis position in the expanded array shape. The function returns the View of the input array with the number of dimensions increased.NumPy offers comprehensive mathematical functions, random number generators, linear ... Read More

Right Shift every element of a masked array by a given scalar value using __irshift__() in Numpy

AmitDiwan

AmitDiwan

Updated on 17-Feb-2022 10:12:06

119 Views

To Right Shift every element of a masked array by a given scalar value, use the ma.MaskedArray.__irshift__() method in Python Numpy.A masked array is the combination of a standard numpy.ndarray and a mask. A mask is either nomask, indicating that no value of the associated array is invalid, or an ... Read More

Add two vectors using broadcasting in Numpy

AmitDiwan

AmitDiwan

Updated on 17-Feb-2022 10:09:32

303 Views

To produce an object that mimics broadcasting, use the numpy.broadcast() method in Python Numpy. A set of arrays is said to be broadcastable if the above rules produce a valid result and one of the following is true −Arrays have exactly the same shape.Arrays have the same number of dimensions ... Read More

Left Shift every element of a masked array by a given scalar value using __ilshift__() in Numpy

AmitDiwan

AmitDiwan

Updated on 17-Feb-2022 10:09:19

180 Views

To Left Shift every element of a masked array by a given scalar value, use the ma.MaskedArray.__ilshift__() method in Python Numpy. A masked array is the combination of a standard numpy.ndarray and a mask. A mask is either nomask, indicating that no value of the associated array is invalid, or ... Read More

Roll the specified axis backwards until it lies in a given position in Numpy

AmitDiwan

AmitDiwan

Updated on 17-Feb-2022 10:06:02

125 Views

To roll the specified axis backwards, until it lies in a given position, use the numpy.moveaxis() method in Python Numpy. Here, The 1st parameter is the Input arrayThe 2nd parameter is the axis to be rolled. The positions of the other axes do not change relative to one another.The 3rd ... Read More

Raise each and every element of a masked array to a given scalar value in-place using __ipow__() in Numpy

AmitDiwan

AmitDiwan

Updated on 17-Feb-2022 10:02:35

116 Views

To raise each and every element of a masked array to a given scalar value, use the ma.MaskedArray.__ipow__() method in Python Numpy. A masked array is the combination of a standard numpy.ndarray and a mask. A mask is either nomask, indicating that no value of the associated array is invalid, ... Read More

Move axes of a Numpy array to new positions

AmitDiwan

AmitDiwan

Updated on 17-Feb-2022 10:01:07

1K+ Views

To move axes of an array to new positions, use the numpy.moveaxis() method in Python Numpy. Here, the 1st parameter is the array whose axes should be reordered. The 2nd parameter is the source int or sequence of int i.e. original positions of the axes to move. These must be ... Read More

Shift the bits of an integer to the left and set the count of shifts as an array in Numpy

AmitDiwan

AmitDiwan

Updated on 17-Feb-2022 09:58:56

134 Views

To shift the bits of an integer to the left, use the numpy.left_shift() method in Python Numpy. We have set the count of shifts as a new array.Bits are shifted to the left by appending x2 0s at the right of x1. Since the internal representation of numbers is in ... Read More

Set a 1-D iterator over a Numpy array

AmitDiwan

AmitDiwan

Updated on 17-Feb-2022 09:58:08

218 Views

For a 1-D iterator over the array, use the numpy.flat() method in Python Numpy. This is a numpy.flatiter instance, which acts similarly to, but is not a subclass of, Python’s built-in iterator object.NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more. It supports a ... Read More

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