Skip to content
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

Jump to bottom

remove Int/Uint/Float64Index from pandas/tests/frame #50825

Merged
merged 1 commit into from
Jan 18, 2023
Merged

remove Int/Uint/Float64Index from pandas/tests/frame #50825

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
10 changes: 5 additions & 5 deletions pandas/tests/frame/methods/test_astype.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -11,6 +11,7 @@
CategoricalDtype,
DataFrame,
DatetimeTZDtype,
Index,
Interval,
IntervalDtype,
NaT,
Expand All @@ -22,7 +23,6 @@
option_context,
)
import pandas._testing as tm
from pandas.core.api import UInt64Index


def _check_cast(df, v):
Expand Down Expand Up @@ -372,7 +372,7 @@ def test_astype_extension_dtypes_duplicate_col(self, dtype):
)
def test_astype_column_metadata(self, dtype):
# GH#19920
columns = UInt64Index([100, 200, 300], name="foo")
columns = Index([100, 200, 300], dtype=np.uint64, name="foo")
df = DataFrame(np.arange(15).reshape(5, 3), columns=columns)
df = df.astype(dtype)
tm.assert_index_equal(df.columns, columns)
Expand Down Expand Up @@ -441,7 +441,7 @@ def test_astype_to_datetime_unit(self, unit):
arr = np.array([[1, 2, 3]], dtype=dtype)
df = DataFrame(arr)
ser = df.iloc[:, 0]
idx = pd.Index(ser)
idx = Index(ser)
dta = ser._values

if unit in ["ns", "us", "ms", "s"]:
Expand Down Expand Up @@ -476,7 +476,7 @@ def test_astype_to_datetime_unit(self, unit):
exp_dta = exp_ser._values

res_index = idx.astype(dtype)
exp_index = pd.Index(exp_ser)
exp_index = Index(exp_ser)
assert exp_index.dtype == dtype
tm.assert_index_equal(res_index, exp_index)

Expand Down Expand Up @@ -504,7 +504,7 @@ def test_astype_to_timedelta_unit(self, unit):
arr = np.array([[1, 2, 3]], dtype=dtype)
df = DataFrame(arr)
ser = df.iloc[:, 0]
tdi = pd.Index(ser)
tdi = Index(ser)
tda = tdi._values

if unit in ["us", "ms", "s"]:
Expand Down
10 changes: 5 additions & 5 deletions pandas/tests/frame/methods/test_truncate.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -5,11 +5,11 @@
from pandas import (
DataFrame,
DatetimeIndex,
Index,
Series,
date_range,
)
import pandas._testing as tm
from pandas.core.api import Int64Index


class TestDataFrameTruncate:
Expand Down Expand Up @@ -108,13 +108,13 @@ def test_truncate_nonsortedindex_axis1(self):
"before, after, indices",
[(1, 2, [2, 1]), (None, 2, [2, 1, 0]), (1, None, [3, 2, 1])],
)
@pytest.mark.parametrize("klass", [Int64Index, DatetimeIndex])
@pytest.mark.parametrize("dtyp", [*tm.ALL_REAL_NUMPY_DTYPES, "datetime64[ns]"])
def test_truncate_decreasing_index(
self, before, after, indices, klass, frame_or_series
self, before, after, indices, dtyp, frame_or_series
):
# https://github.com/pandas-dev/pandas/issues/33756
idx = klass([3, 2, 1, 0])
if klass is DatetimeIndex:
idx = Index([3, 2, 1, 0], dtype=dtyp)
if isinstance(idx, DatetimeIndex):
before = pd.Timestamp(before) if before is not None else None
after = pd.Timestamp(after) if after is not None else None
indices = [pd.Timestamp(i) for i in indices]
Expand Down