docs: add example using reproject to upscale resolution

changelog/893.doc.rst

@@ -0,0 +1 @@
+Added an example (:ref:`sphx_glr_generated_gallery_changing_resolution_via_reproject.py`) showing how to change resolution of an NDCube using `~ndcube.NDCube.reproject_to`.

examples/changing_resolution_via_reproject.py

@@ -0,0 +1,64 @@
+"""
+=====================================
+Changing the resolution of an NDCube
+=====================================
+
+This example shows how to change the resolution of an NDCube by reprojecting to a finer grid.
+"""
+
+import matplotlib.pyplot as plt
+
+from astropy.io import fits
+from astropy.wcs import WCS
+
+from sunpy.data.sample import AIA_171_IMAGE
+from sunpy.visualization.colormaps import cm
+
+from ndcube import NDCube
+
+############################################################################
+# We start by creating an NDCube from sample solar data provided by SunPy.
+# Here we use an AIA 171 image, but the same approach can be applied to other datasets, including those with non celestial axes.
+
+image_data = fits.getdata(AIA_171_IMAGE)
+image_header = fits.getheader(AIA_171_IMAGE)
+cube = NDCube(image_data, WCS(image_header))
+
+###########################################################################
+# Next, we define a new WCS with a finer pixel scale, note that while it is obvious that the CDELT values are changed to reflect the finer scale,
+# the CRPIX values also need to be adjusted as the reference pixel position is different on the new pixel scale.
+# You can scale the axes by any amount, including non-integer values, greater or less than 1.
+# You can also scale each axis independently.
+# Here we scale both spatial axes by a factor of 1.5.
+
+scale_factor = 1.5
+
+new_wcs = cube.wcs.deepcopy()
+new_wcs.wcs.cdelt /= scale_factor
+new_wcs.wcs.crpix *= scale_factor
+new_shape = tuple(int(s * scale_factor) for s in cube.data.shape)
+
+###########################################################################
+# We reproject the original cube to the new WCS.
+reprojected_cube = cube.reproject_to(new_wcs, shape_out=new_shape)
+
+###########################################################################
+# Our new NDCube now has a higher resolution.
+print(cube.data.shape, reprojected_cube.data.shape)
+
+###########################################################################
+# We can plot the original and reprojected cubes side by side.
+
+fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(14, 8))
+
+ax1.imshow(cube.data, origin='lower', cmap=cm.sdoaia171, vmin=10, vmax=10000)
+ax1.set_title('Original')
+ax1.set_xlabel('X [pixel]')
+ax1.set_ylabel('Y [pixel]')
+
+ax2.imshow(reprojected_cube.data, origin='lower', cmap=cm.sdoaia171, vmin=10, vmax=10000)
+ax2.set_title('Reprojected (Upscaled)')
+ax2.set_xlabel('X [pixel]')
+ax2.set_ylabel('Y [pixel]')
+plt.tight_layout()
+plt.show()

ndcube/ndcube.py

@@ -1267,9 +1267,11 @@ def my_propagate(uncertainty, data, mask, **kwargs):
         bin_shape[bin_shape == -1] = np.array(data_shape)[bin_shape == -1]
         if (bin_shape < 0).any():
             raise ValueError("bin_shape should not be less than -1.")
+        if np.any(bin_shape > data_shape):
+            raise ValueError("bin_shape cannot be larger than data shape in any dimension.")
         if (np.mod(data_shape, bin_shape) != 0).any():
             raise ValueError(
-                "bin shape must be an integer fraction of the data shape in each dimension. "
+                "bin_shape must be an integer fraction of the data shape in each dimension. "
                 f"data shape: {data_shape};  bin shape: {bin_shape}"
             )
 

ndcube/tests/test_ndcube_reproject_and_rebin.py

@@ -263,13 +263,20 @@ def test_rebin_some_masked_uncerts_exclude_masked_values(ndcube_2d_ln_lt_mask_un
 def test_rebin_errors(ndcube_3d_l_ln_lt_ectime):
     cube = ndcube_3d_l_ln_lt_ectime
     # Wrong number of axes in bin_shape)
-    with pytest.raises(ValueError):
+    with pytest.raises(ValueError, match="bin_shape must have an entry for each"):
         cube.rebin((2,))
 
+    # bin shape shouldn't have any negatives
+    with pytest.raises(ValueError, match="bin_shape should not be less than -1"):
+        cube.rebin((2, -2, 1))
     # bin_shape not integer multiple of data shape.
-    with pytest.raises(ValueError):
+    with pytest.raises(ValueError, match="bin_shape must be an integer fraction"):
         cube.rebin((9, 2, 1))
 
+    # bin_shape larger than data shape.
+    with pytest.raises(ValueError, match="bin_shape cannot be larger than data shape"):
+        cube.rebin((20, 2, 1))
+
 
 def test_rebin_no_propagate(ndcube_2d_ln_lt_mask_uncert):
     # Execute rebin.