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Fixturize tests/frame/test_asof.py #25628

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53 changes: 28 additions & 25 deletions pandas/tests/frame/test_asof.py
Original file line number Diff line number Diff line change
Expand Up @@ -6,21 +6,26 @@
from pandas import DataFrame, Series, Timestamp, date_range, to_datetime
import pandas.util.testing as tm

from .common import TestData

@pytest.fixture
def date_range_frame():
"""
Fixture for DataFrame of ints with date_range index

class TestFrameAsof(TestData):
def setup_method(self, method):
self.N = N = 50
self.rng = date_range('1/1/1990', periods=N, freq='53s')
self.df = DataFrame({'A': np.arange(N), 'B': np.arange(N)},
index=self.rng)
Columns are ['A', 'B'].
"""
N = 50
rng = date_range('1/1/1990', periods=N, freq='53s')
return DataFrame({'A': np.arange(N), 'B': np.arange(N)}, index=rng)

def test_basic(self):
df = self.df.copy()

class TestFrameAsof():

def test_basic(self, date_range_frame):
df = date_range_frame
N = 50
df.loc[15:30, 'A'] = np.nan
dates = date_range('1/1/1990', periods=self.N * 3,
freq='25s')
dates = date_range('1/1/1990', periods=N * 3, freq='25s')

result = df.asof(dates)
assert result.notna().all(1).all()
Expand All @@ -35,11 +40,9 @@ def test_basic(self):
rs = result[mask]
assert (rs == 14).all(1).all()

def test_subset(self):
def test_subset(self, date_range_frame):
N = 10
rng = date_range('1/1/1990', periods=N, freq='53s')
df = DataFrame({'A': np.arange(N), 'B': np.arange(N)},
index=rng)
df = date_range_frame.iloc[:N].copy()
df.loc[4:8, 'A'] = np.nan
dates = date_range('1/1/1990', periods=N * 3,
freq='25s')
Expand All @@ -54,20 +57,18 @@ def test_subset(self):
expected = df.asof(dates)
tm.assert_frame_equal(result, expected)

# B gives self.df.asof
# B gives df.asof
result = df.asof(dates, subset='B')
expected = df.resample('25s', closed='right').ffill().reindex(dates)
expected.iloc[20:] = 9

tm.assert_frame_equal(result, expected)

def test_missing(self):
def test_missing(self, date_range_frame):
# GH 15118
# no match found - `where` value before earliest date in index
N = 10
rng = date_range('1/1/1990', periods=N, freq='53s')
df = DataFrame({'A': np.arange(N), 'B': np.arange(N)},
index=rng)
df = date_range_frame.iloc[:N].copy()
result = df.asof('1989-12-31')

expected = Series(index=['A', 'B'], name=Timestamp('1989-12-31'))
Expand All @@ -78,22 +79,24 @@ def test_missing(self):
columns=['A', 'B'], dtype='float64')
tm.assert_frame_equal(result, expected)

def test_all_nans(self):
def test_all_nans(self, date_range_frame):
# GH 15713
# DataFrame is all nans
result = DataFrame([np.nan]).asof([0])
expected = DataFrame([np.nan])
tm.assert_frame_equal(result, expected)

# testing non-default indexes, multiple inputs
dates = date_range('1/1/1990', periods=self.N * 3, freq='25s')
result = DataFrame(np.nan, index=self.rng, columns=['A']).asof(dates)
N = 150
rng = date_range_frame.index
dates = date_range('1/1/1990', periods=N, freq='25s')
result = DataFrame(np.nan, index=rng, columns=['A']).asof(dates)
expected = DataFrame(np.nan, index=dates, columns=['A'])
tm.assert_frame_equal(result, expected)

# testing multiple columns
dates = date_range('1/1/1990', periods=self.N * 3, freq='25s')
result = DataFrame(np.nan, index=self.rng,
dates = date_range('1/1/1990', periods=N, freq='25s')
result = DataFrame(np.nan, index=rng,
columns=['A', 'B', 'C']).asof(dates)
expected = DataFrame(np.nan, index=dates, columns=['A', 'B', 'C'])
tm.assert_frame_equal(result, expected)
Expand Down