Skip to content

COMPAT: make astype to datetime/timedelta types more robust #19176

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
merged 1 commit into from
Jan 11, 2018
Merged

COMPAT: make astype to datetime/timedelta types more robust #19176

Show file tree
Hide file tree
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
15 changes: 14 additions & 1 deletion pandas/core/dtypes/cast.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -690,7 +690,7 @@ def astype_nansafe(arr, dtype, copy=True):
raise ValueError('Cannot convert non-finite values (NA or inf) to '
'integer')

elif arr.dtype == np.object_ and np.issubdtype(dtype.type, np.integer):
elif is_object_dtype(arr.dtype) and np.issubdtype(dtype.type, np.integer):
# work around NumPy brokenness, #1987
return lib.astype_intsafe(arr.ravel(), dtype).reshape(arr.shape)

Expand All @@ -703,6 +703,19 @@ def astype_nansafe(arr, dtype, copy=True):
dtype = np.dtype(dtype.name + "[ns]")

if copy:

if arr.dtype == dtype:
return arr.copy()

# we handle datetimelikes with pandas machinery
# to be robust to the input type
elif is_datetime64_dtype(dtype):
from pandas import to_datetime
return to_datetime(arr).values
elif is_timedelta64_dtype(dtype):
from pandas import to_timedelta
return to_timedelta(arr).values

return arr.astype(dtype)
return arr.view(dtype)

Expand Down
2 changes: 1 addition & 1 deletion pandas/tests/io/json/test_json_table_schema.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -499,7 +499,7 @@ def test_read_json_table_orient(self, index_nm, vals):
tm.assert_frame_equal(df, result)

@pytest.mark.parametrize("index_nm", [
None, "idx", pytest.param("index", marks=pytest.mark.xfail)])
None, "idx", "index"])
@pytest.mark.parametrize("vals", [
{'timedeltas': pd.timedelta_range('1H', periods=4, freq='T')},
{'timezones': pd.date_range('2016-01-01', freq='d', periods=4,
Expand Down