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54 changes: 0 additions & 54 deletions pandas/tests/frame/conftest.py
Original file line number Diff line number Diff line change
Expand Up @@ -29,16 +29,6 @@ def float_frame_with_na():
return df


@pytest.fixture
def float_frame2():
"""
Fixture for DataFrame of floats with index of unique strings

Columns are ['D', 'C', 'B', 'A']
"""
return DataFrame(tm.getSeriesData(), columns=['D', 'C', 'B', 'A'])


@pytest.fixture
def bool_frame_with_na():
"""
Expand Down Expand Up @@ -104,21 +94,6 @@ def mixed_float_frame():
return df


@pytest.fixture
def mixed_float_frame2():
"""
Fixture for DataFrame of different float types with index of unique strings

Columns are ['A', 'B', 'C', 'D'].
"""
df = DataFrame(tm.getSeriesData())
df.D = df.D.astype('float32')
df.C = df.C.astype('float32')
df.B = df.B.astype('float16')
df.D = df.D.astype('float64')
return df


@pytest.fixture
def mixed_int_frame():
"""
Expand All @@ -135,19 +110,6 @@ def mixed_int_frame():
return df


@pytest.fixture
def mixed_type_frame():
"""
Fixture for DataFrame of float/int/string columns with RangeIndex

Columns are ['a', 'b', 'c', 'float32', 'int32'].
"""
return DataFrame({'a': 1., 'b': 2, 'c': 'foo',
'float32': np.array([1.] * 10, dtype='float32'),
'int32': np.array([1] * 10, dtype='int32')},
index=np.arange(10))


@pytest.fixture
def timezone_frame():
"""
Expand All @@ -173,22 +135,6 @@ def empty_frame():
return DataFrame({})


@pytest.fixture
def datetime_series():
"""
Fixture for Series of floats with DatetimeIndex
"""
return tm.makeTimeSeries(nper=30)


@pytest.fixture
def datetime_series_short():
"""
Fixture for Series of floats with DatetimeIndex
"""
return tm.makeTimeSeries(nper=30)[5:]


@pytest.fixture
def simple_frame():
"""
Expand Down