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[#22550] Remove TestData from series-tests test_quantile.py #29096

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Merged
merged 1 commit into from
Oct 19, 2019
Merged

[#22550] Remove TestData from series-tests test_quantile.py #29096

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51 changes: 27 additions & 24 deletions pandas/tests/series/test_quantile.py
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Original file line number Diff line number Diff line change
Expand Up @@ -8,24 +8,22 @@
from pandas.core.indexes.datetimes import Timestamp
import pandas.util.testing as tm

from .common import TestData

class TestSeriesQuantile:
def test_quantile(self, datetime_series):

class TestSeriesQuantile(TestData):
def test_quantile(self):
q = datetime_series.quantile(0.1)
assert q == np.percentile(datetime_series.dropna(), 10)

q = self.ts.quantile(0.1)
assert q == np.percentile(self.ts.dropna(), 10)

q = self.ts.quantile(0.9)
assert q == np.percentile(self.ts.dropna(), 90)
q = datetime_series.quantile(0.9)
assert q == np.percentile(datetime_series.dropna(), 90)

# object dtype
q = Series(self.ts, dtype=object).quantile(0.9)
assert q == np.percentile(self.ts.dropna(), 90)
q = Series(datetime_series, dtype=object).quantile(0.9)
assert q == np.percentile(datetime_series.dropna(), 90)

# datetime64[ns] dtype
dts = self.ts.index.to_series()
dts = datetime_series.index.to_series()
q = dts.quantile(0.2)
assert q == Timestamp("2000-01-10 19:12:00")

Expand All @@ -41,20 +39,23 @@ def test_quantile(self):
msg = "percentiles should all be in the interval \\[0, 1\\]"
for invalid in [-1, 2, [0.5, -1], [0.5, 2]]:
with pytest.raises(ValueError, match=msg):
self.ts.quantile(invalid)
datetime_series.quantile(invalid)

def test_quantile_multi(self):
def test_quantile_multi(self, datetime_series):

qs = [0.1, 0.9]
result = self.ts.quantile(qs)
result = datetime_series.quantile(qs)
expected = pd.Series(
[np.percentile(self.ts.dropna(), 10), np.percentile(self.ts.dropna(), 90)],
[
np.percentile(datetime_series.dropna(), 10),
np.percentile(datetime_series.dropna(), 90),
],
index=qs,
name=self.ts.name,
name=datetime_series.name,
)
tm.assert_series_equal(result, expected)

dts = self.ts.index.to_series()
dts = datetime_series.index.to_series()
dts.name = "xxx"
result = dts.quantile((0.2, 0.2))
expected = Series(
Expand All @@ -64,18 +65,20 @@ def test_quantile_multi(self):
)
tm.assert_series_equal(result, expected)

result = self.ts.quantile([])
expected = pd.Series([], name=self.ts.name, index=Index([], dtype=float))
result = datetime_series.quantile([])
expected = pd.Series(
[], name=datetime_series.name, index=Index([], dtype=float)
)
tm.assert_series_equal(result, expected)

def test_quantile_interpolation(self):
def test_quantile_interpolation(self, datetime_series):
# see gh-10174

# interpolation = linear (default case)
q = self.ts.quantile(0.1, interpolation="linear")
assert q == np.percentile(self.ts.dropna(), 10)
q1 = self.ts.quantile(0.1)
assert q1 == np.percentile(self.ts.dropna(), 10)
q = datetime_series.quantile(0.1, interpolation="linear")
assert q == np.percentile(datetime_series.dropna(), 10)
q1 = datetime_series.quantile(0.1)
assert q1 == np.percentile(datetime_series.dropna(), 10)

# test with and without interpolation keyword
assert q == q1
Expand Down