We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
1 parent fd346ae commit 73f4711Copy full SHA for 73f4711
pandas/tests/reshape/concat/test_empty.py
@@ -255,3 +255,26 @@ def test_empty_dtype_coerce(self):
255
result = concat([df1, df2])
256
expected = df1.dtypes
257
tm.assert_series_equal(result.dtypes, expected)
258
+
259
+ def test_concat_empty_dataframe(self):
260
+ # 39037
261
+ df1 = DataFrame(columns=["a", "b"])
262
+ df2 = DataFrame(columns=["b", "c"])
263
+ result = concat([df1, df2, df1])
264
+ expected = DataFrame(columns=["a", "b", "c"])
265
+ tm.assert_frame_equal(result, expected)
266
267
+ df3 = DataFrame(columns=["a", "b"])
268
+ df4 = DataFrame(columns=["b"])
269
+ result = concat([df3, df4])
270
+ expected = DataFrame(columns=["a", "b"])
271
272
273
+ def test_concat_empty_dataframe_different_dtypes(self):
274
275
+ df1 = DataFrame({"a": [1, 2, 3], "b": ["a", "b", "c"]})
276
+ df2 = DataFrame({"a": [1, 2, 3]})
277
278
+ result = concat([df1[:0], df2[:0]])
279
+ assert result["a"].dtype == np.int64
280
+ assert result["b"].dtype == np.object_
0 commit comments