To return the variance of the masked array elements, use the ma.MaskedArray.var() in Python Numpy. Returns the variance of the array elements, a measure of the spread of a distribution. The variance is computed for the flattened array by default, otherwise over the specified axis.The “axis” parameter is the axis ... Read More

To shift the bits of array elements of a 2d array to the right, use the numpy.right_shift() method in Python Numpy. Bits are shifted to the right x2. Because the internal representation of numbers is in binary format, this operation is equivalent to dividing x1 by 2**x2.The x1 is the ... Read More

To shift the bits of an integer to the right, use the numpy.right_shift() method in Python Numpy. We have set the count of shifts as a new array. Bits are shifted to the right x2. Because the internal representation of numbers is in binary format, this operation is equivalent to ... Read More

To return element-wise a copy of the string with uppercase characters converted to lowercase and vice versa, use the numpy.char.swapcase() method in Python Numpy. For 8-bit strings, this method is locale-dependent.The function swapcase() returns an output array of str or unicode, depending on input type. The numpy.char module provides a ... Read More

To return a copy of an array with the leading and trailing characters removed, use the numpy.char.strip() method in Python Numpy. The "chars" parameter is used to set a string specifying the set of characters to be removed. If omitted or None, the chars argument defaults to removing whitespace. The ... Read More

To return the sum along diagonals of the masked array elements, use the ma.MaskedArray.trace() in Numpy. The offset parameter is the offset of the diagonal from the main diagonal. Can be both positive and negative. Defaults to 0.The axis 1 and axis 2 are the axes to be used as ... Read More

To convert masked array to float type, use the ma.MaskedArray.__float__() method in Numpy. A mask is either nomask, indicating that no value of the associated array is invalid, or an array of booleans that determines for each element of the associated array whether the value is valid or not.StepsAt first, ... Read More

To get the imaginary part from the masked array, use the ma.MaskedArray.imag attribute in Numpy. This property is a view on the imaginary part of this MaskedArray.A mask is either nomask, indicating that no value of the associated array is invalid, or an array of booleans that determines for each ... Read More

To get the Tuple of bytes to step in each dimension when traversing an array, use the ma.MaskedArray.strides attribute in Numpy. The byte offset of element (i[0], i[1], ..., i[n]) in an array a is −offset = sum(np.array(i) * a.strides)A mask is either nomask, indicating that no value of the ... Read More

To get the total bytes consumed by the masked array, use the ma.MaskedArray.nbytes attribute in Numpy. Does not include memory consumed by non-element attributes of the array object.A mask is either nomask, indicating that no value of the associated array is invalid, or an array of booleans that determines for ... Read More