@@ -29,16 +29,6 @@ def float_frame_with_na():
2929 return df
3030
3131
32- @pytest .fixture
33- def float_frame2 ():
34- """
35- Fixture for DataFrame of floats with index of unique strings
36-
37- Columns are ['D', 'C', 'B', 'A']
38- """
39- return DataFrame (tm .getSeriesData (), columns = ['D' , 'C' , 'B' , 'A' ])
40-
41-
4232@pytest .fixture
4333def bool_frame_with_na ():
4434 """
@@ -104,21 +94,6 @@ def mixed_float_frame():
10494 return df
10595
10696
107- @pytest .fixture
108- def mixed_float_frame2 ():
109- """
110- Fixture for DataFrame of different float types with index of unique strings
111-
112- Columns are ['A', 'B', 'C', 'D'].
113- """
114- df = DataFrame (tm .getSeriesData ())
115- df .D = df .D .astype ('float32' )
116- df .C = df .C .astype ('float32' )
117- df .B = df .B .astype ('float16' )
118- df .D = df .D .astype ('float64' )
119- return df
120-
121-
12297@pytest .fixture
12398def mixed_int_frame ():
12499 """
@@ -135,19 +110,6 @@ def mixed_int_frame():
135110 return df
136111
137112
138- @pytest .fixture
139- def mixed_type_frame ():
140- """
141- Fixture for DataFrame of float/int/string columns with RangeIndex
142-
143- Columns are ['a', 'b', 'c', 'float32', 'int32'].
144- """
145- return DataFrame ({'a' : 1. , 'b' : 2 , 'c' : 'foo' ,
146- 'float32' : np .array ([1. ] * 10 , dtype = 'float32' ),
147- 'int32' : np .array ([1 ] * 10 , dtype = 'int32' )},
148- index = np .arange (10 ))
149-
150-
151113@pytest .fixture
152114def timezone_frame ():
153115 """
@@ -173,22 +135,6 @@ def empty_frame():
173135 return DataFrame ({})
174136
175137
176- @pytest .fixture
177- def datetime_series ():
178- """
179- Fixture for Series of floats with DatetimeIndex
180- """
181- return tm .makeTimeSeries (nper = 30 )
182-
183-
184- @pytest .fixture
185- def datetime_series_short ():
186- """
187- Fixture for Series of floats with DatetimeIndex
188- """
189- return tm .makeTimeSeries (nper = 30 )[5 :]
190-
191-
192138@pytest .fixture
193139def simple_frame ():
194140 """
0 commit comments