To determine whether input has masked values, use the ma.is_masked() method in Python Numpy. Accepts any object as input, but always returns False unless the input is a MaskedArray containing masked values. Returns True if the array is a MaskedArray with masked values, False otherwise.A masked array is the combination ... Read More

To compute the bit-wise AND of two arrays element-wise, use the numpy.bitwise_and() method in Python Numpy.Computes the bit-wise AND of the underlying binary representation of the integers in the input arrays. This ufunc implements the C/Python operator &.The 1st and 2nd parameter are the arrays, only integer and boolean types ... Read More

To compute the bit-wise AND of two arrays element-wise, use the numpy.bitwise_and() method in Python Numpy. Computes the bit-wise AND of the underlying binary representation of the integers in the input arrays. This ufunc implements the C/Python operator &.The 1st and 2nd parameter are the arrays, only integer and boolean ... Read More

To build a block of matrix, use the numpy.block() method in Python Numpy. Here, we will build a block matrix from a list with depth two. Blocks in the innermost lists are concatenated along the last dimension (-1), then these are concatenated along the second-last dimension (-2), and so on ... Read More

To build a block of matrix, use the numpy.block() method in Python Numpy. Here, we will build from list with depth one. . Blocks in the innermost lists are concatenated along the last dimension (-1), then these are concatenated along the second-last dimension (-2), and so on until the outermost ... Read More

To join a sequence of arrays, use the numpy.stack() method in Python Numpy. The axis parameter specifies the index of the new axis in the dimensions of the result. Here, we have set axis 1.The function returns the stacked array has one more dimension than the input arrays. The axis ... Read More

To join a sequence of arrays, use the numpy.stack() method in Python Numpy. The axis parameter specifies the index of the new axis in the dimensions of the result. If axis=0 it will be the first dimension and if axis=-1 it will be the last dimension.The function returns the stacked ... Read More

To create a recarray from a list of records in text form, use the numpy.core.records.fromrecords() method in Python Numpy. The names is set using the "names" parameter. The field names, either specified as a comma-separated string in the form 'col1, col2, col3', or as a list or tuple of strings ... Read More

To join a sequence of arrays, use the numpy.stack() method in Python Numpy. The function returns the stacked array has one more dimension than the input arrays. The axis parameter specifies the index of the new axis in the dimensions of the result. For example, if axis=0 it will be ... Read More

Squeeze the Array shape using the numpy.squeeze() method. This removes axes of length one from an array over specific axis. The axis is set using the "axis" parameter. We have set axis 0 here.The function returns the input array, but with all or a subset of the dimensions of length ... Read More