To return the common filling value of two masked arrays, use the ma.common_fill_value() method in Python Numpy. If maskArray1.fill_value == maskArray2.fill_value, return the fill value, otherwise return None.A masked array is the combination of a standard numpy.ndarray and a mask. A mask is either nomask, indicating that no value of ... Read More

To suppress only columns of a 2-D array that contain masked values along specific axis, use the np.ma.mask_compress_rowcols() method in Numpy. The suppression behavior is selected with the axis parameterIf axis is None, both rows and columns are suppressed.If axis is 0, only rows are suppressed.If axis is 1 or ... Read More

To suppress only rows that contain masked values along specific axis, use the np.ma.mask_compress_rowcols() method in Numpy. The suppression behavior is selected with the axis parameter −If axis is None, both rows and columns are suppressed.If axis is 0, only rows are suppressed.If axis is 1 or -1, only columns ... Read More

To suppress the rows and/or columns of a 2-D array that contain masked values, use the np.ma.mask_compress_rowcols() method in Numpy. The suppression behavior is selected with the axis parameter:If axis is None, both rows and columns are suppressed.If axis is 0, only rows are suppressed.If axis is 1 or -1, ... Read More

To append values to the end of an array, use the ma.append() method in Python Numpy. The values are appended to a copy of the first parameter array. These values are appended to a copy of first parameter array. It must be of the correct shape. If axis is not ... Read More

To join a sequence of masked arrays along negative axis, use the ma.stack() method in Python Numpy. The axis is set using the "axis" parameter. The axis parameter specifies the index of the new axis in the dimensions of the result. For example, if axis=0 it will be the first ... Read More

To join a sequence of masked arrays along axis 0, use the ma.stack() method in Python Numpy. The axis is set using the "axis" parameter. The axis parameter specifies the index of the new axis in the dimensions of the result. For example, if axis=0 it will be the first ... Read More

To suppress the rows and/or columns of a 2-D array that contain masked values, use the np.ma.mask_compress_rowcols() method in Numpy. The suppression behavior is selected with the axis parameter.If axis is None, both rows and columns are suppressed.If axis is 0, only rows are suppressed.If axis is 1 or -1, ... Read More

To suppress whole rows of a 2-D array that contain masked values, use the np.ma.mask_compress_rows() method in 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 ... Read More

To convert inputs to arrays with at least three dimensions, use the ma.atleast_3d() method in Python Numpy. The parameters are one or more array-like sequences. Non-array inputs are converted to arrays. Arrays that already have three or more dimensions are preserved.The function returns an array, or list of arrays, each ... Read More