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115 lines
3.4 KiB
115 lines
3.4 KiB
import numpy as np
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import pytest
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from pandas import (
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DatetimeIndex,
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IntervalIndex,
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NaT,
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Period,
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Series,
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Timestamp,
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)
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import pandas._testing as tm
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class TestDropna:
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def test_dropna_empty(self):
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ser = Series([], dtype=object)
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assert len(ser.dropna()) == 0
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return_value = ser.dropna(inplace=True)
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assert return_value is None
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assert len(ser) == 0
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# invalid axis
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msg = "No axis named 1 for object type Series"
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with pytest.raises(ValueError, match=msg):
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ser.dropna(axis=1)
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def test_dropna_preserve_name(self, datetime_series):
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datetime_series[:5] = np.nan
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result = datetime_series.dropna()
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assert result.name == datetime_series.name
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name = datetime_series.name
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ts = datetime_series.copy()
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return_value = ts.dropna(inplace=True)
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assert return_value is None
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assert ts.name == name
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def test_dropna_no_nan(self):
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for ser in [
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Series([1, 2, 3], name="x"),
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Series([False, True, False], name="x"),
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]:
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result = ser.dropna()
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tm.assert_series_equal(result, ser)
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assert result is not ser
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s2 = ser.copy()
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return_value = s2.dropna(inplace=True)
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assert return_value is None
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tm.assert_series_equal(s2, ser)
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def test_dropna_intervals(self):
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ser = Series(
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[np.nan, 1, 2, 3],
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IntervalIndex.from_arrays([np.nan, 0, 1, 2], [np.nan, 1, 2, 3]),
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)
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result = ser.dropna()
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expected = ser.iloc[1:]
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tm.assert_series_equal(result, expected)
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def test_dropna_period_dtype(self):
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# GH#13737
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ser = Series([Period("2011-01", freq="M"), Period("NaT", freq="M")])
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result = ser.dropna()
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expected = Series([Period("2011-01", freq="M")])
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tm.assert_series_equal(result, expected)
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def test_datetime64_tz_dropna(self):
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# DatetimeLikeBlock
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ser = Series(
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[
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Timestamp("2011-01-01 10:00"),
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NaT,
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Timestamp("2011-01-03 10:00"),
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NaT,
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]
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)
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result = ser.dropna()
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expected = Series(
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[Timestamp("2011-01-01 10:00"), Timestamp("2011-01-03 10:00")], index=[0, 2]
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)
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tm.assert_series_equal(result, expected)
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# DatetimeTZBlock
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idx = DatetimeIndex(
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["2011-01-01 10:00", NaT, "2011-01-03 10:00", NaT], tz="Asia/Tokyo"
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)
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ser = Series(idx)
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assert ser.dtype == "datetime64[ns, Asia/Tokyo]"
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result = ser.dropna()
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expected = Series(
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[
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Timestamp("2011-01-01 10:00", tz="Asia/Tokyo"),
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Timestamp("2011-01-03 10:00", tz="Asia/Tokyo"),
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],
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index=[0, 2],
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)
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assert result.dtype == "datetime64[ns, Asia/Tokyo]"
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tm.assert_series_equal(result, expected)
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def test_dropna_pos_args_deprecation(self):
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# https://github.com/pandas-dev/pandas/issues/41485
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ser = Series([1, 2, 3])
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msg = (
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r"In a future version of pandas all arguments of Series\.dropna "
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r"will be keyword-only"
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)
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with tm.assert_produces_warning(FutureWarning, match=msg):
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result = ser.dropna(0)
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expected = Series([1, 2, 3])
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tm.assert_series_equal(result, expected)
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