""" Tests that work on both the Python and C engines but do not have a specific classification into the other test modules. """ from io import StringIO import pytest from pandas import DataFrame import pandas._testing as tm xfail_pyarrow = pytest.mark.usefixtures("pyarrow_xfail") @xfail_pyarrow @pytest.mark.parametrize( "data,thousands,decimal", [ ( """A|B|C 1|2,334.01|5 10|13|10. """, ",", ".", ), ( """A|B|C 1|2.334,01|5 10|13|10, """, ".", ",", ), ], ) def test_1000_sep_with_decimal(all_parsers, data, thousands, decimal): parser = all_parsers expected = DataFrame({"A": [1, 10], "B": [2334.01, 13], "C": [5, 10.0]}) result = parser.read_csv( StringIO(data), sep="|", thousands=thousands, decimal=decimal ) tm.assert_frame_equal(result, expected) def test_euro_decimal_format(all_parsers): parser = all_parsers data = """Id;Number1;Number2;Text1;Text2;Number3 1;1521,1541;187101,9543;ABC;poi;4,738797819 2;121,12;14897,76;DEF;uyt;0,377320872 3;878,158;108013,434;GHI;rez;2,735694704""" result = parser.read_csv(StringIO(data), sep=";", decimal=",") expected = DataFrame( [ [1, 1521.1541, 187101.9543, "ABC", "poi", 4.738797819], [2, 121.12, 14897.76, "DEF", "uyt", 0.377320872], [3, 878.158, 108013.434, "GHI", "rez", 2.735694704], ], columns=["Id", "Number1", "Number2", "Text1", "Text2", "Number3"], ) tm.assert_frame_equal(result, expected)