FIX-#3890: Fix the default to pandas in pd.DataFrame.sparse.from_spma…

…trix. (#3891)

Signed-off-by: mvashishtha <mahesh@ponder.io>

modin/pandas/accessor.py

@@ -24,6 +24,8 @@
 import pandas
 from pandas.core.arrays.sparse.dtype import SparseDtype
 
+import modin.pandas as pd
+from modin.error_message import ErrorMessage
 from modin.utils import _inherit_docstrings
 
 
@@ -108,8 +110,9 @@ def density(self):
 
     @classmethod
     def from_spmatrix(cls, data, index=None, columns=None):
-        return cls._default_to_pandas(
-            pandas.DataFrame.sparse.from_spmatrix, data, index=index, columns=columns
+        ErrorMessage.default_to_pandas("`from_spmatrix`")
+        return pd.DataFrame(
+            pandas.DataFrame.sparse.from_spmatrix(data, index=index, columns=columns)
         )
 
     def to_dense(self):

modin/pandas/test/test_io.py

@@ -24,6 +24,7 @@
 from modin.pandas.utils import from_arrow
 import pyarrow as pa
 import os
+from scipy import sparse
 import sys
 import shutil
 import sqlalchemy as sa
@@ -2175,6 +2176,18 @@ def test_from_arrow():
     df_equals(modin_df, pandas_df)
 
 
+@pytest.mark.xfail(
+    condition="config.getoption('--simulate-cloud').lower() != 'off'",
+    reason="The reason of tests fail in `cloud` mode is unknown for now - issue #3264",
+)
+def test_from_spmatrix():
+    data = sparse.eye(3)
+    with pytest.warns(UserWarning, match="defaulting to pandas.*"):
+        modin_df = pd.DataFrame.sparse.from_spmatrix(data)
+    pandas_df = pandas.DataFrame.sparse.from_spmatrix(data)
+    df_equals(modin_df, pandas_df)
+
+
 @pytest.mark.xfail(
     condition="config.getoption('--simulate-cloud').lower() != 'off'",
     reason="The reason of tests fail in `cloud` mode is unknown for now - issue #3264",

requirements/env_omnisci.yml

@@ -19,3 +19,4 @@ dependencies:
   - openpyxl
   - xlrd
   - sqlalchemy
+  - scipy