To compute the bit-wise OR of two 1D arrays element-wise, use the numpy.bitwise_or() method in Python Numpy. Computes the bit-wise OR 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 ... Read More

To return the underlying data, as a view of the masked array, use the ma.MaskedArray.data 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 array of booleans ... Read More

To return the mask of a masked array, use the ma.getmask() method in Python Numpy. Returns the mask of a as an ndarray if a is a MaskedArray and the mask is not nomask, else return nomask. To guarantee a full array of booleans of the same shape as a, ... Read More

To count the number of masked elements along axis 1, use the ma.MaskedArray.count_masked() method. The axis is set using the "axis" parameter. The method returns the total number of masked elements (axis=None) or the number of masked elements along each slice of the given axis.The axis parameter is the axis ... Read More

To compute the bit-wise OR of two arrays element-wise, use the numpy.bitwise_or() method in Python Numpy. Computes the bit-wise OR 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 return the mask of a masked array, or full boolean array of False, use the ma.getmaskarray() method in Python Numpy. Returns the mask of arr as an ndarray if arr is a MaskedArray and the mask is not nomask, else return a full boolean array of False of the ... Read More

To compute the bit-wise AND of a 1D and a 0D array 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, ... Read More

To return the data of a masked array as an ndarray, use the ma.getdata() method in Python Numpy. Returns the data of a (if any) as an ndarray if a is a MaskedArray, else return a as a ndarray or subclass if not.The subok parameter suggest whether to force the ... Read More

To return the mask of a masked array, use the ma.getmaskarray() method in Python Numpy. Returns the mask of arr as an ndarray if arr is a MaskedArray and the mask is not nomask, else return a full boolean array of False of the same shape as arr.A masked array ... Read More

To compute the bit-wise AND of a 1D and a 2D array 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 ... Read More