Use healpix shim for healpy operations.

src/lsdb/catalog/dataset/healpix_dataset.py

@@ -5,8 +5,8 @@
 
 import dask
 import dask.dataframe as dd
-import healpy as hp
 import hipscat as hc
+import hipscat.pixel_math.healpix_shim as hp
 import nested_dask as nd
 import nested_pandas as npd
 import numpy as np
@@ -363,7 +363,7 @@ def skymap(
         self,
         func: Callable[[npd.NestedFrame, HealpixPixel], Any],
         order: int | None = None,
-        default_value: Any = hp.pixelfunc.UNSEEN,
+        default_value: Any = hp.unseen_pixel(),
         projection="moll",
         plotting_args: Dict | None = None,
         **kwargs,

src/lsdb/core/plotting/skymap.py

@@ -2,7 +2,7 @@
 
 from typing import Any, Callable, Dict
 
-import healpy as hp
+import hipscat.pixel_math.healpix_shim as hp
 import nested_pandas as npd
 import numpy as np
 from dask import delayed

src/lsdb/core/search/polygon_search.py

@@ -1,6 +1,6 @@
 from typing import List, Tuple
 
-import healpy as hp
+import hipscat.pixel_math.healpix_shim as hp
 import nested_pandas as npd
 import numpy as np
 from hipscat.catalog.catalog_info import CatalogInfo

src/lsdb/dask/merge_catalog_functions.py

@@ -2,7 +2,7 @@
 
 from typing import TYPE_CHECKING, Callable, List, Sequence, Tuple
 
-import healpy as hp
+import hipscat.pixel_math.healpix_shim as hp
 import nested_dask as nd
 import nested_pandas as npd
 import numpy as np

src/lsdb/loaders/dataframe/margin_catalog_generator.py

@@ -2,8 +2,8 @@
 
 from typing import Dict, List, Tuple
 
-import healpy as hp
 import hipscat as hc
+import hipscat.pixel_math.healpix_shim as hp
 import nested_dask as nd
 import nested_pandas as npd
 import numpy as np

tests/lsdb/catalog/test_catalog.py

@@ -2,7 +2,8 @@
 
 import dask.array as da
 import dask.dataframe as dd
-import healpy as hp
+import healpy
+import hipscat.pixel_math.healpix_shim as hp
 import nested_dask as nd
 import nested_pandas as npd
 import numpy as np
@@ -349,7 +350,7 @@ def func(df, healpix):
     pixel_map = small_sky_order1_catalog.skymap_data(func)
     pixel_map = {pixel: value.compute() for pixel, value in pixel_map.items()}
     max_order = max(pixel_map.keys(), key=lambda x: x.order).order
-    img = np.zeros(hp.nside2npix(hp.order2nside(max_order)))
+    img = np.zeros(hp.order2npix(max_order))
     for pixel, value in pixel_map.items():
         dorder = max_order - pixel.order
         start = pixel.pixel * (4**dorder)
@@ -379,7 +380,7 @@ def func(df, _):
     order_3_pixels = hipscat_id_to_healpix(computed_catalog.index.to_numpy(), order)
     pixel_map = computed_catalog.groupby(order_3_pixels).apply(lambda x: func(x, None))
 
-    img = np.full(hp.nside2npix(hp.order2nside(order)), default)
+    img = np.full(hp.order2npix(order), default)
     for pixel_num, row in pixel_map.items():
         img[pixel_num] = row
     assert (small_sky_order1_catalog.skymap_histogram(func, order, default) == img).all()
@@ -446,15 +447,15 @@ def func(df, healpix):
     pixel_map = small_sky_order1_catalog.skymap_data(func)
     pixel_map = {pixel: value.compute() for pixel, value in pixel_map.items()}
     max_order = max(pixel_map.keys(), key=lambda x: x.order).order
-    img = np.full(hp.nside2npix(hp.order2nside(max_order)), hp.pixelfunc.UNSEEN)
+    img = np.full(hp.order2npix(max_order), hp.unseen_pixel())
     for pixel, value in pixel_map.items():
         dorder = max_order - pixel.order
         start = pixel.pixel * (4**dorder)
         end = (pixel.pixel + 1) * (4**dorder)
         img_order_pixels = np.arange(start, end)
         img[img_order_pixels] = value
-    hp.mollview.assert_called_once()
-    assert (hp.mollview.call_args[0][0] == img).all()
+    healpy.mollview.assert_called_once()
+    assert (healpy.mollview.call_args[0][0] == img).all()
 
 
 # pylint: disable=no-member
@@ -464,11 +465,11 @@ def test_plot_pixels(small_sky_order1_catalog, mocker):
     small_sky_order1_catalog.plot_pixels()
 
     # Everything will be empty, except the four pixels at order 1.
-    img = np.full(48, hp.pixelfunc.UNSEEN)
+    img = np.full(48, hp.unseen_pixel())
     img[[44, 45, 46, 47]] = 1
 
-    hp.mollview.assert_called_once()
-    assert (hp.mollview.call_args[0][0] == img).all()
+    healpy.mollview.assert_called_once()
+    assert (healpy.mollview.call_args[0][0] == img).all()
 
 
 def test_square_bracket_columns(small_sky_order1_catalog):

tests/lsdb/loaders/dataframe/test_from_dataframe.py

@@ -1,8 +1,8 @@
 import math
 
 import astropy.units as u
-import healpy as hp
 import hipscat as hc
+import hipscat.pixel_math.healpix_shim as hp
 import nested_dask as nd
 import nested_pandas as npd
 import numpy as np