""" Tests that comments are properly handled during parsing for all of the parsers defined in parsers.py """ from io import StringIO import numpy as np import pytest from pandas import DataFrame import pandas._testing as tm @pytest.mark.parametrize("na_values", [None, ["NaN"]]) def test_comment(all_parsers, na_values): parser = all_parsers data = """A,B,C 1,2.,4.#hello world 5.,NaN,10.0 """ expected = DataFrame( [[1.0, 2.0, 4.0], [5.0, np.nan, 10.0]], columns=["A", "B", "C"] ) if parser.engine == "pyarrow": msg = "The 'comment' option is not supported with the 'pyarrow' engine" with pytest.raises(ValueError, match=msg): parser.read_csv(StringIO(data), comment="#", na_values=na_values) return result = parser.read_csv(StringIO(data), comment="#", na_values=na_values) tm.assert_frame_equal(result, expected) @pytest.mark.parametrize( "read_kwargs", [{}, {"lineterminator": "*"}, {"delim_whitespace": True}] ) def test_line_comment(all_parsers, read_kwargs, request): parser = all_parsers data = """# empty A,B,C 1,2.,4.#hello world #ignore this line 5.,NaN,10.0 """ warn = None depr_msg = "The 'delim_whitespace' keyword in pd.read_csv is deprecated" if read_kwargs.get("delim_whitespace"): data = data.replace(",", " ") warn = FutureWarning elif read_kwargs.get("lineterminator"): data = data.replace("\n", read_kwargs.get("lineterminator")) read_kwargs["comment"] = "#" if parser.engine == "pyarrow": if "lineterminator" in read_kwargs: msg = ( "The 'lineterminator' option is not supported with the 'pyarrow' engine" ) else: msg = "The 'comment' option is not supported with the 'pyarrow' engine" with pytest.raises(ValueError, match=msg): with tm.assert_produces_warning( warn, match=depr_msg, check_stacklevel=False ): parser.read_csv(StringIO(data), **read_kwargs) return elif parser.engine == "python" and read_kwargs.get("lineterminator"): msg = r"Custom line terminators not supported in python parser \(yet\)" with pytest.raises(ValueError, match=msg): with tm.assert_produces_warning( warn, match=depr_msg, check_stacklevel=False ): parser.read_csv(StringIO(data), **read_kwargs) return with tm.assert_produces_warning(warn, match=depr_msg, check_stacklevel=False): result = parser.read_csv(StringIO(data), **read_kwargs) expected = DataFrame( [[1.0, 2.0, 4.0], [5.0, np.nan, 10.0]], columns=["A", "B", "C"] ) tm.assert_frame_equal(result, expected) def test_comment_skiprows(all_parsers): parser = all_parsers data = """# empty random line # second empty line 1,2,3 A,B,C 1,2.,4. 5.,NaN,10.0 """ # This should ignore the first four lines (including comments). expected = DataFrame( [[1.0, 2.0, 4.0], [5.0, np.nan, 10.0]], columns=["A", "B", "C"] ) if parser.engine == "pyarrow": msg = "The 'comment' option is not supported with the 'pyarrow' engine" with pytest.raises(ValueError, match=msg): parser.read_csv(StringIO(data), comment="#", skiprows=4) return result = parser.read_csv(StringIO(data), comment="#", skiprows=4) tm.assert_frame_equal(result, expected) def test_comment_header(all_parsers): parser = all_parsers data = """# empty # second empty line 1,2,3 A,B,C 1,2.,4. 5.,NaN,10.0 """ # Header should begin at the second non-comment line. expected = DataFrame( [[1.0, 2.0, 4.0], [5.0, np.nan, 10.0]], columns=["A", "B", "C"] ) if parser.engine == "pyarrow": msg = "The 'comment' option is not supported with the 'pyarrow' engine" with pytest.raises(ValueError, match=msg): parser.read_csv(StringIO(data), comment="#", header=1) return result = parser.read_csv(StringIO(data), comment="#", header=1) tm.assert_frame_equal(result, expected) def test_comment_skiprows_header(all_parsers): parser = all_parsers data = """# empty # second empty line # third empty line X,Y,Z 1,2,3 A,B,C 1,2.,4. 5.,NaN,10.0 """ # Skiprows should skip the first 4 lines (including comments), # while header should start from the second non-commented line, # starting with line 5. expected = DataFrame( [[1.0, 2.0, 4.0], [5.0, np.nan, 10.0]], columns=["A", "B", "C"] ) if parser.engine == "pyarrow": msg = "The 'comment' option is not supported with the 'pyarrow' engine" with pytest.raises(ValueError, match=msg): parser.read_csv(StringIO(data), comment="#", skiprows=4, header=1) return result = parser.read_csv(StringIO(data), comment="#", skiprows=4, header=1) tm.assert_frame_equal(result, expected) @pytest.mark.parametrize("comment_char", ["#", "~", "&", "^", "*", "@"]) def test_custom_comment_char(all_parsers, comment_char): parser = all_parsers data = "a,b,c\n1,2,3#ignore this!\n4,5,6#ignorethistoo" if parser.engine == "pyarrow": msg = "The 'comment' option is not supported with the 'pyarrow' engine" with pytest.raises(ValueError, match=msg): parser.read_csv( StringIO(data.replace("#", comment_char)), comment=comment_char ) return result = parser.read_csv( StringIO(data.replace("#", comment_char)), comment=comment_char ) expected = DataFrame([[1, 2, 3], [4, 5, 6]], columns=["a", "b", "c"]) tm.assert_frame_equal(result, expected) @pytest.mark.parametrize("header", ["infer", None]) def test_comment_first_line(all_parsers, header): # see gh-4623 parser = all_parsers data = "# notes\na,b,c\n# more notes\n1,2,3" if header is None: expected = DataFrame({0: ["a", "1"], 1: ["b", "2"], 2: ["c", "3"]}) else: expected = DataFrame([[1, 2, 3]], columns=["a", "b", "c"]) if parser.engine == "pyarrow": msg = "The 'comment' option is not supported with the 'pyarrow' engine" with pytest.raises(ValueError, match=msg): parser.read_csv(StringIO(data), comment="#", header=header) return result = parser.read_csv(StringIO(data), comment="#", header=header) tm.assert_frame_equal(result, expected) def test_comment_char_in_default_value(all_parsers, request): # GH#34002 if all_parsers.engine == "c": reason = "see gh-34002: works on the python engine but not the c engine" # NA value containing comment char is interpreted as comment request.applymarker(pytest.mark.xfail(reason=reason, raises=AssertionError)) parser = all_parsers data = ( "# this is a comment\n" "col1,col2,col3,col4\n" "1,2,3,4#inline comment\n" "4,5#,6,10\n" "7,8,#N/A,11\n" ) if parser.engine == "pyarrow": msg = "The 'comment' option is not supported with the 'pyarrow' engine" with pytest.raises(ValueError, match=msg): parser.read_csv(StringIO(data), comment="#", na_values="#N/A") return result = parser.read_csv(StringIO(data), comment="#", na_values="#N/A") expected = DataFrame( { "col1": [1, 4, 7], "col2": [2, 5, 8], "col3": [3.0, np.nan, np.nan], "col4": [4.0, np.nan, 11.0], } ) tm.assert_frame_equal(result, expected)