Numpy Array to ArcGIS GRID gives dimensional error with masked array

Question

I have an 84x73 masked numpy array to load into ArcGIS (version 10.3.1, Windows 8.1).

To overcome the fact that Masked Numpy arrays cannot be saved to .npy file as of yet, I am saving my array from Jupyter as

import numpy
myarray.dump("C:\MyName\MyFolder\Array_to_raster.npy")

Then, I load this array in ArcGIS, as suggested at Numpy Array to ArcGIS GRID gives ValueError?:

myarray = numpy.load(r"C:\MyName\MyFolder\Array_to_raster.npy")

And then I attempt to create a raster out of it as

arcpy.NumPyArrayToRaster (myarray, arcpy.Point(447328.4200,357465.6840), 1500, 1500, -2147483648)

where -2147483648 is the fill_value of my masked cells.

However, this throws an error:

Runtime error 
Traceback (most recent call last):
 File "<string>", line 1, in <module>
 File "c:\program files (x86)\arcgis\desktop10.3\arcpy\arcpy\__init__.py", line 2292, in NumPyArrayToRaster
 return _NumPyArrayToRaster(*args, **kwargs)
ValueError: Argument in_array: A two or three dimensional NumPy array is required.

But as I said, I already have a 2D array:

>>> myarray.shape
(84, 73)

How can I create the raster out of myarray?

• geodranic: gis.stackexchange.com/questions/256173/… and for good measure gis.stackexchange.com/questions/256173/…