""" 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 numpy as np import pytest from pandas.compat import is_platform_linux from pandas import DataFrame import pandas._testing as tm pytestmark = pytest.mark.usefixtures("pyarrow_skip") def test_float_parser(all_parsers): # see gh-9565 parser = all_parsers data = "45e-1,4.5,45.,inf,-inf" result = parser.read_csv(StringIO(data), header=None) expected = DataFrame([[float(s) for s in data.split(",")]]) tm.assert_frame_equal(result, expected) def test_scientific_no_exponent(all_parsers_all_precisions): # see gh-12215 df = DataFrame.from_dict({"w": ["2e"], "x": ["3E"], "y": ["42e"], "z": ["632E"]}) data = df.to_csv(index=False) parser, precision = all_parsers_all_precisions df_roundtrip = parser.read_csv(StringIO(data), float_precision=precision) tm.assert_frame_equal(df_roundtrip, df) @pytest.mark.parametrize("neg_exp", [-617, -100000, -99999999999999999]) def test_very_negative_exponent(all_parsers_all_precisions, neg_exp): # GH#38753 parser, precision = all_parsers_all_precisions data = f"data\n10E{neg_exp}" result = parser.read_csv(StringIO(data), float_precision=precision) expected = DataFrame({"data": [0.0]}) tm.assert_frame_equal(result, expected) @pytest.mark.parametrize("exp", [999999999999999999, -999999999999999999]) def test_too_many_exponent_digits(all_parsers_all_precisions, exp, request): # GH#38753 parser, precision = all_parsers_all_precisions data = f"data\n10E{exp}" result = parser.read_csv(StringIO(data), float_precision=precision) if precision == "round_trip": if exp == 999999999999999999 and is_platform_linux(): mark = pytest.mark.xfail(reason="GH38794, on Linux gives object result") request.node.add_marker(mark) value = np.inf if exp > 0 else 0.0 expected = DataFrame({"data": [value]}) else: expected = DataFrame({"data": [f"10E{exp}"]}) tm.assert_frame_equal(result, expected)