Drop ValueError on empty columns

python/resdata/summary/rd_sum.py

@@ -576,9 +576,7 @@ def pandas_frame(self, time_index=None, column_keys=None):
         but this can be controlled by using the column_keys argument. The
         column_keys should be a list of strings, and each summary vector
         matching one of the elements in the @column_keys will get a column in
-        the frame, you can use wildcards like "WWCT:*" and "*:OP". If you
-        supply a column_keys argument which does not resolve to any valid
-        summary keys you will get a ValueError exception.
+        the frame, you can use wildcards like "WWCT:*" and "*:OP".
 
 
           sum = Summary(case)
@@ -601,9 +599,6 @@ def pandas_frame(self, time_index=None, column_keys=None):
             for key in column_keys:
                 keywords.add_keywords(key)
 
-        if len(keywords) == 0:
-            raise ValueError("No valid key")
-
         if time_index is None:
             time_index = self.dates
             data = numpy.zeros([len(time_index), len(keywords)])

python/tests/rd_tests/test_rd_sum.py

@@ -187,3 +187,18 @@ def test_to_from_pandas(summary):
         check_exact=False,
         atol=17,
     )
+
+
+@given(summaries())
+@pytest.mark.use_fixtures("use_tmpdir")
+def test_that_non_matching_dataframe_gives_empty_columns(summary):
+    smspec, unsmry = summary
+    assume("BOGUS" not in (smspec.keywords))
+    smspec.to_file("TEST.SMSPEC")
+    unsmry.to_file("TEST.UNSMRY")
+
+    assert (
+        Summary("TEST", lazy_load=False)
+        .pandas_frame(column_keys=["BOGUS"])
+        .columns.empty
+    )

python/tests/rd_tests/test_sum.py

@@ -615,12 +615,6 @@ def test_pandas(self):
         self.assertEqual(fopt[0], case.first_value("FOPT"))
         self.assertEqual(fopt[-1], case.last_value("FOPT"))
 
-        with self.assertRaises(ValueError):
-            frame = case.pandas_frame(column_keys=[])
-
-        with self.assertRaises(ValueError):
-            frame = case.pandas_frame(column_keys=["NO_KEY"])
-
         frame = case.pandas_frame()
         rows, columns = frame.shape
         self.assertEqual(len(case.keys()), columns)