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]))