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