chore: Update scipy.sparse import in normalization and transform modules

chansigit · Jul 5, 2024 · e31a5f4 · e31a5f4
1 parent 6b8840c
commit e31a5f4
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Showing 3 changed files with 6 additions and 5 deletions.
diff --git a/dynamo/preprocessing/normalization.py b/dynamo/preprocessing/normalization.py
@@ -11,7 +11,7 @@
 import numpy.typing as npt
 import pandas as pd
 from scipy.sparse import csr_matrix
-from scipy.sparse.base import issparse
+from scipy.sparse import issparse
 
 from ..configuration import DKM
 from ..dynamo_logger import (

diff --git a/dynamo/preprocessing/transform.py b/dynamo/preprocessing/transform.py
@@ -9,7 +9,7 @@
 import anndata
 import numpy as np
 from anndata import AnnData
-from scipy.sparse.base import issparse
+from scipy.sparse import issparse
 
 from ..configuration import DKM
 from ..dynamo_logger import main_debug, main_info_insert_adata_uns

diff --git a/tests/test_pl.py b/tests/test_pl.py
@@ -99,12 +99,13 @@ def test_nxviz7_circosplot(adata):
 
 def test_scatters_markers_ezplots():
     adata = dyn.sample_data.hematopoiesis()
-
-    ax = dyn.pl.cell_cycle_scores(adata, save_show_or_return="return")
-    assert isinstance(ax, plt.Axes)
+    import matplotlib.pyplot as plt
 
     ax = dyn.pl.pca(adata, color="cell_type", save_show_or_return="return")
     assert isinstance(ax, plt.Axes)
+
+    ax = dyn.pl.cell_cycle_scores(adata, save_show_or_return="return")
+    assert isinstance(ax, plt.Axes)
 
     ax = dyn.pl.umap(adata, color="cell_type", save_show_or_return="return")
     assert isinstance(ax, plt.Axes)