97 lines
2.9 KiB
Python
97 lines
2.9 KiB
Python
import numpy as np
|
|
import pytest
|
|
|
|
from pandas import DatetimeIndex, IntervalIndex, NaT, Period, Series, Timestamp
|
|
import pandas._testing as tm
|
|
|
|
|
|
class TestDropna:
|
|
def test_dropna_empty(self):
|
|
ser = Series([], dtype=object)
|
|
|
|
assert len(ser.dropna()) == 0
|
|
return_value = ser.dropna(inplace=True)
|
|
assert return_value is None
|
|
assert len(ser) == 0
|
|
|
|
# invalid axis
|
|
msg = "No axis named 1 for object type Series"
|
|
with pytest.raises(ValueError, match=msg):
|
|
ser.dropna(axis=1)
|
|
|
|
def test_dropna_preserve_name(self, datetime_series):
|
|
datetime_series[:5] = np.nan
|
|
result = datetime_series.dropna()
|
|
assert result.name == datetime_series.name
|
|
name = datetime_series.name
|
|
ts = datetime_series.copy()
|
|
return_value = ts.dropna(inplace=True)
|
|
assert return_value is None
|
|
assert ts.name == name
|
|
|
|
def test_dropna_no_nan(self):
|
|
for ser in [
|
|
Series([1, 2, 3], name="x"),
|
|
Series([False, True, False], name="x"),
|
|
]:
|
|
|
|
result = ser.dropna()
|
|
tm.assert_series_equal(result, ser)
|
|
assert result is not ser
|
|
|
|
s2 = ser.copy()
|
|
return_value = s2.dropna(inplace=True)
|
|
assert return_value is None
|
|
tm.assert_series_equal(s2, ser)
|
|
|
|
def test_dropna_intervals(self):
|
|
ser = Series(
|
|
[np.nan, 1, 2, 3],
|
|
IntervalIndex.from_arrays([np.nan, 0, 1, 2], [np.nan, 1, 2, 3]),
|
|
)
|
|
|
|
result = ser.dropna()
|
|
expected = ser.iloc[1:]
|
|
tm.assert_series_equal(result, expected)
|
|
|
|
def test_dropna_period_dtype(self):
|
|
# GH#13737
|
|
ser = Series([Period("2011-01", freq="M"), Period("NaT", freq="M")])
|
|
result = ser.dropna()
|
|
expected = Series([Period("2011-01", freq="M")])
|
|
|
|
tm.assert_series_equal(result, expected)
|
|
|
|
def test_datetime64_tz_dropna(self):
|
|
# DatetimeBlock
|
|
ser = Series(
|
|
[
|
|
Timestamp("2011-01-01 10:00"),
|
|
NaT,
|
|
Timestamp("2011-01-03 10:00"),
|
|
NaT,
|
|
]
|
|
)
|
|
result = ser.dropna()
|
|
expected = Series(
|
|
[Timestamp("2011-01-01 10:00"), Timestamp("2011-01-03 10:00")], index=[0, 2]
|
|
)
|
|
tm.assert_series_equal(result, expected)
|
|
|
|
# DatetimeBlockTZ
|
|
idx = DatetimeIndex(
|
|
["2011-01-01 10:00", NaT, "2011-01-03 10:00", NaT], tz="Asia/Tokyo"
|
|
)
|
|
ser = Series(idx)
|
|
assert ser.dtype == "datetime64[ns, Asia/Tokyo]"
|
|
result = ser.dropna()
|
|
expected = Series(
|
|
[
|
|
Timestamp("2011-01-01 10:00", tz="Asia/Tokyo"),
|
|
Timestamp("2011-01-03 10:00", tz="Asia/Tokyo"),
|
|
],
|
|
index=[0, 2],
|
|
)
|
|
assert result.dtype == "datetime64[ns, Asia/Tokyo]"
|
|
tm.assert_series_equal(result, expected)
|