Upload hf_env/lib/python3.14/site-packages/pandas/tests/arrays/floating/test_concat.py with huggingface_hub
Browse files
hf_env/lib/python3.14/site-packages/pandas/tests/arrays/floating/test_concat.py
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import pytest
|
| 2 |
+
|
| 3 |
+
import pandas as pd
|
| 4 |
+
import pandas._testing as tm
|
| 5 |
+
|
| 6 |
+
|
| 7 |
+
@pytest.mark.parametrize(
|
| 8 |
+
"to_concat_dtypes, result_dtype",
|
| 9 |
+
[
|
| 10 |
+
(["Float64", "Float64"], "Float64"),
|
| 11 |
+
(["Float32", "Float64"], "Float64"),
|
| 12 |
+
(["Float32", "Float32"], "Float32"),
|
| 13 |
+
],
|
| 14 |
+
)
|
| 15 |
+
def test_concat_series(to_concat_dtypes, result_dtype):
|
| 16 |
+
result = pd.concat([pd.Series([1, 2, pd.NA], dtype=t) for t in to_concat_dtypes])
|
| 17 |
+
expected = pd.concat([pd.Series([1, 2, pd.NA], dtype=object)] * 2).astype(
|
| 18 |
+
result_dtype
|
| 19 |
+
)
|
| 20 |
+
tm.assert_series_equal(result, expected)
|