Skip to content

TST: preserve dtypes on assignment #31483

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
jreback merged 1 commit into from
Feb 1, 2020
Merged

TST: preserve dtypes on assignment #31483

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
12 changes: 12 additions & 0 deletions pandas/tests/indexing/test_loc.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -92,6 +92,18 @@ def test_loc_setitem_slice(self):
expected = DataFrame({"a": [0, 1, 1], "b": [100, 200, 300]}, dtype="uint64")
tm.assert_frame_equal(df2, expected)

def test_loc_setitem_dtype(self):
# GH31340
df = DataFrame({"id": ["A"], "a": [1.2], "b": [0.0], "c": [-2.5]})
cols = ["a", "b", "c"]
df.loc[:, cols] = df.loc[:, cols].astype("float32")

expected = DataFrame(
{"id": ["A"], "a": [1.2], "b": [0.0], "c": [-2.5]}, dtype="float32"
) # id is inferred as object

tm.assert_frame_equal(df, expected)

def test_loc_getitem_int(self):

# int label
Expand Down