import numpy as np
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import pytest
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from pandas import Series
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import pandas._testing as tm
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def test_mask():
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# compare with tested results in test_where
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s = Series(np.random.randn(5))
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cond = s > 0
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rs = s.where(~cond, np.nan)
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tm.assert_series_equal(rs, s.mask(cond))
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rs = s.where(~cond)
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rs2 = s.mask(cond)
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tm.assert_series_equal(rs, rs2)
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rs = s.where(~cond, -s)
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rs2 = s.mask(cond, -s)
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tm.assert_series_equal(rs, rs2)
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cond = Series([True, False, False, True, False], index=s.index)
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s2 = -(s.abs())
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rs = s2.where(~cond[:3])
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rs2 = s2.mask(cond[:3])
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tm.assert_series_equal(rs, rs2)
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rs = s2.where(~cond[:3], -s2)
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rs2 = s2.mask(cond[:3], -s2)
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tm.assert_series_equal(rs, rs2)
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msg = "Array conditional must be same shape as self"
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with pytest.raises(ValueError, match=msg):
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s.mask(1)
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with pytest.raises(ValueError, match=msg):
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s.mask(cond[:3].values, -s)
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def test_mask_casts():
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# dtype changes
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ser = Series([1, 2, 3, 4])
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result = ser.mask(ser > 2, np.nan)
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expected = Series([1, 2, np.nan, np.nan])
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tm.assert_series_equal(result, expected)
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def test_mask_casts2():
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# see gh-21891
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ser = Series([1, 2])
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res = ser.mask([True, False])
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exp = Series([np.nan, 2])
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tm.assert_series_equal(res, exp)
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def test_mask_inplace():
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s = Series(np.random.randn(5))
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cond = s > 0
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rs = s.copy()
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rs.mask(cond, inplace=True)
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tm.assert_series_equal(rs.dropna(), s[~cond])
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tm.assert_series_equal(rs, s.mask(cond))
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rs = s.copy()
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rs.mask(cond, -s, inplace=True)
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tm.assert_series_equal(rs, s.mask(cond, -s))
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