def test_multiple_info():
i1 = pd.Series([0.8, 1, 1])
i2 = pd.Series([1.01, 0.5, 9])
dat = pd.concat([i1, i2], axis=1).reset_index(drop=True)
dat.columns = ['INFO', 'INFO']
x = munge.filter_info(dat, log, args)
assert_series_equal(x, pd.Series([True, False, True]))
def test_multiple_info():
i1 = pd.Series([0.8, 1, 1])
i2 = pd.Series([1.01, 0.5, 9])
dat = pd.concat([i1, i2], axis=1).reset_index(drop=True)
dat.columns = ['INFO', 'INFO']
x = munge.filter_info(dat, log, args)
assert_series_equal(x, pd.Series([True, False, True]))
def test_single_info():
dat = pd.Series([0.8, 1, 1])
x = munge.filter_info(dat, log, args)
assert_series_equal(x, pd.Series([False, True, True]))
def test_single_info():
dat = pd.Series([0.8, 1, 1])
x = munge.filter_info(dat, log, args)
assert_series_equal(x, pd.Series([False, True, True]))
