diff --git a/hawc_hal/healpix_handling/gnomonic_projection.py b/hawc_hal/healpix_handling/gnomonic_projection.py
index c4a0fca..e2584f6 100644
--- a/hawc_hal/healpix_handling/gnomonic_projection.py
+++ b/hawc_hal/healpix_handling/gnomonic_projection.py
@@ -1,6 +1,6 @@
-import numpy as np
+import warnings
+
 from healpy import projaxes as PA
-import matplotlib.pyplot as plt
 
 
 def get_gnomonic_projection(figure, hpx_map, **kwargs):
@@ -16,23 +16,23 @@ def get_gnomonic_projection(figure, hpx_map, **kwargs):
     :return: the array containing the projection.
     """
 
-    defaults = {'coord': 'C',
-                'rot': None,
-                'format': '%g',
-                'flip': 'astro',
-                'xsize': 200,
-                'ysize': None,
-                'reso': 1.5,
-                'nest': False,
-                'min': None,
-                'max': None,
-                'cmap': None,
-                'norm': None}
+    defaults = {
+        "coord": "C",
+        "rot": None,
+        "format": "%g",
+        "flip": "astro",
+        "xsize": 200,
+        "ysize": None,
+        "reso": 1.5,
+        "nest": False,
+        "min": None,
+        "max": None,
+        "cmap": None,
+        "norm": None,
+    }
 
     for key, default_value in list(defaults.items()):
-
         if key not in kwargs:
-
             kwargs[key] = default_value
 
     ## Colas, 2018-07-11: The following fails for really tall figures,
@@ -47,26 +47,35 @@ def get_gnomonic_projection(figure, hpx_map, **kwargs):
     #           extent[3] - margins[3] - margins[1])
     extent = (0.05, 0.05, 0.9, 0.9)
 
-    ax = PA.HpxGnomonicAxes(figure, extent,
-                            coord=kwargs['coord'],
-                            rot=kwargs['rot'],
-                            format=kwargs['format'],
-                            flipconv=kwargs['flip'])
+    ax = PA.HpxGnomonicAxes(
+        figure,
+        extent,
+        coord=kwargs["coord"],
+        rot=kwargs["rot"],
+        format=kwargs["format"],
+        flipconv=kwargs["flip"],
+    )
 
     # Suppress warnings about nans
-    with np.warnings.catch_warnings():
-
-        np.warnings.filterwarnings('ignore')
+    # ! numpy does not contain the warnings module as of v1.24.3
+    # TODO: remove this when numpy is updated
+    # with np.warnings.catch_warnings():
+    #
+    # np.warnings.filterwarnings('ignore')
 
-        img = ax.projmap(hpx_map,
-                         nest=kwargs['nest'],
-                         coord=kwargs['coord'],
-                         vmin=kwargs['min'],
-                         vmax=kwargs['max'],
-                         xsize=kwargs['xsize'],
-                         ysize=kwargs['ysize'],
-                         reso=kwargs['reso'],
-                         cmap=kwargs['cmap'],
-                         norm=kwargs['norm'])
+    with warnings.catch_warnings():
+        warnings.filterwarnings("ignore")
+        img = ax.projmap(
+            hpx_map,
+            nest=kwargs["nest"],
+            coord=kwargs["coord"],
+            vmin=kwargs["min"],
+            vmax=kwargs["max"],
+            xsize=kwargs["xsize"],
+            ysize=kwargs["ysize"],
+            reso=kwargs["reso"],
+            cmap=kwargs["cmap"],
+            norm=kwargs["norm"],
+        )
 
     return img