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