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| """
| Tests that the file header is properly handled or inferred
| during parsing for all of the parsers defined in parsers.py
| """
|
| from collections import namedtuple
| from io import StringIO
|
| import numpy as np
| import pytest
|
| from pandas.errors import ParserError
|
| from pandas import (
| DataFrame,
| Index,
| MultiIndex,
| )
| import pandas._testing as tm
|
| # TODO(1.4): Change me to xfails at release time
| skip_pyarrow = pytest.mark.usefixtures("pyarrow_skip")
|
|
| @skip_pyarrow
| def test_read_with_bad_header(all_parsers):
| parser = all_parsers
| msg = r"but only \d+ lines in file"
|
| with pytest.raises(ValueError, match=msg):
| s = StringIO(",,")
| parser.read_csv(s, header=[10])
|
|
| def test_negative_header(all_parsers):
| # see gh-27779
| parser = all_parsers
| data = """1,2,3,4,5
| 6,7,8,9,10
| 11,12,13,14,15
| """
| with pytest.raises(
| ValueError,
| match="Passing negative integer to header is invalid. "
| "For no header, use header=None instead",
| ):
| parser.read_csv(StringIO(data), header=-1)
|
|
| @pytest.mark.parametrize("header", [([-1, 2, 4]), ([-5, 0])])
| def test_negative_multi_index_header(all_parsers, header):
| # see gh-27779
| parser = all_parsers
| data = """1,2,3,4,5
| 6,7,8,9,10
| 11,12,13,14,15
| """
| with pytest.raises(
| ValueError, match="cannot specify multi-index header with negative integers"
| ):
| parser.read_csv(StringIO(data), header=header)
|
|
| @pytest.mark.parametrize("header", [True, False])
| def test_bool_header_arg(all_parsers, header):
| # see gh-6114
| parser = all_parsers
| data = """\
| MyColumn
| a
| b
| a
| b"""
| msg = "Passing a bool to header is invalid"
| with pytest.raises(TypeError, match=msg):
| parser.read_csv(StringIO(data), header=header)
|
|
| @skip_pyarrow
| def test_header_with_index_col(all_parsers):
| parser = all_parsers
| data = """foo,1,2,3
| bar,4,5,6
| baz,7,8,9
| """
| names = ["A", "B", "C"]
| result = parser.read_csv(StringIO(data), names=names)
|
| expected = DataFrame(
| [[1, 2, 3], [4, 5, 6], [7, 8, 9]],
| index=["foo", "bar", "baz"],
| columns=["A", "B", "C"],
| )
| tm.assert_frame_equal(result, expected)
|
|
| def test_header_not_first_line(all_parsers):
| parser = all_parsers
| data = """got,to,ignore,this,line
| got,to,ignore,this,line
| index,A,B,C,D
| foo,2,3,4,5
| bar,7,8,9,10
| baz,12,13,14,15
| """
| data2 = """index,A,B,C,D
| foo,2,3,4,5
| bar,7,8,9,10
| baz,12,13,14,15
| """
|
| result = parser.read_csv(StringIO(data), header=2, index_col=0)
| expected = parser.read_csv(StringIO(data2), header=0, index_col=0)
| tm.assert_frame_equal(result, expected)
|
|
| @skip_pyarrow
| def test_header_multi_index(all_parsers):
| parser = all_parsers
| expected = tm.makeCustomDataframe(5, 3, r_idx_nlevels=2, c_idx_nlevels=4)
|
| data = """\
| C0,,C_l0_g0,C_l0_g1,C_l0_g2
|
| C1,,C_l1_g0,C_l1_g1,C_l1_g2
| C2,,C_l2_g0,C_l2_g1,C_l2_g2
| C3,,C_l3_g0,C_l3_g1,C_l3_g2
| R0,R1,,,
| R_l0_g0,R_l1_g0,R0C0,R0C1,R0C2
| R_l0_g1,R_l1_g1,R1C0,R1C1,R1C2
| R_l0_g2,R_l1_g2,R2C0,R2C1,R2C2
| R_l0_g3,R_l1_g3,R3C0,R3C1,R3C2
| R_l0_g4,R_l1_g4,R4C0,R4C1,R4C2
| """
| result = parser.read_csv(StringIO(data), header=[0, 1, 2, 3], index_col=[0, 1])
| tm.assert_frame_equal(result, expected)
|
|
| @pytest.mark.parametrize(
| "kwargs,msg",
| [
| (
| {"index_col": ["foo", "bar"]},
| (
| "index_col must only contain "
| "row numbers when specifying "
| "a multi-index header"
| ),
| ),
| (
| {"index_col": [0, 1], "names": ["foo", "bar"]},
| ("cannot specify names when specifying a multi-index header"),
| ),
| (
| {"index_col": [0, 1], "usecols": ["foo", "bar"]},
| ("cannot specify usecols when specifying a multi-index header"),
| ),
| ],
| )
| def test_header_multi_index_invalid(all_parsers, kwargs, msg):
| data = """\
| C0,,C_l0_g0,C_l0_g1,C_l0_g2
|
| C1,,C_l1_g0,C_l1_g1,C_l1_g2
| C2,,C_l2_g0,C_l2_g1,C_l2_g2
| C3,,C_l3_g0,C_l3_g1,C_l3_g2
| R0,R1,,,
| R_l0_g0,R_l1_g0,R0C0,R0C1,R0C2
| R_l0_g1,R_l1_g1,R1C0,R1C1,R1C2
| R_l0_g2,R_l1_g2,R2C0,R2C1,R2C2
| R_l0_g3,R_l1_g3,R3C0,R3C1,R3C2
| R_l0_g4,R_l1_g4,R4C0,R4C1,R4C2
| """
| parser = all_parsers
|
| with pytest.raises(ValueError, match=msg):
| parser.read_csv(StringIO(data), header=[0, 1, 2, 3], **kwargs)
|
|
| _TestTuple = namedtuple("_TestTuple", ["first", "second"])
|
|
| @skip_pyarrow
| @pytest.mark.parametrize(
| "kwargs",
| [
| {"header": [0, 1]},
| {
| "skiprows": 3,
| "names": [
| ("a", "q"),
| ("a", "r"),
| ("a", "s"),
| ("b", "t"),
| ("c", "u"),
| ("c", "v"),
| ],
| },
| {
| "skiprows": 3,
| "names": [
| _TestTuple("a", "q"),
| _TestTuple("a", "r"),
| _TestTuple("a", "s"),
| _TestTuple("b", "t"),
| _TestTuple("c", "u"),
| _TestTuple("c", "v"),
| ],
| },
| ],
| )
| def test_header_multi_index_common_format1(all_parsers, kwargs):
| parser = all_parsers
| expected = DataFrame(
| [[1, 2, 3, 4, 5, 6], [7, 8, 9, 10, 11, 12]],
| index=["one", "two"],
| columns=MultiIndex.from_tuples(
| [("a", "q"), ("a", "r"), ("a", "s"), ("b", "t"), ("c", "u"), ("c", "v")]
| ),
| )
| data = """,a,a,a,b,c,c
| ,q,r,s,t,u,v
| ,,,,,,
| one,1,2,3,4,5,6
| two,7,8,9,10,11,12"""
|
| result = parser.read_csv(StringIO(data), index_col=0, **kwargs)
| tm.assert_frame_equal(result, expected)
|
|
| @skip_pyarrow
| @pytest.mark.parametrize(
| "kwargs",
| [
| {"header": [0, 1]},
| {
| "skiprows": 2,
| "names": [
| ("a", "q"),
| ("a", "r"),
| ("a", "s"),
| ("b", "t"),
| ("c", "u"),
| ("c", "v"),
| ],
| },
| {
| "skiprows": 2,
| "names": [
| _TestTuple("a", "q"),
| _TestTuple("a", "r"),
| _TestTuple("a", "s"),
| _TestTuple("b", "t"),
| _TestTuple("c", "u"),
| _TestTuple("c", "v"),
| ],
| },
| ],
| )
| def test_header_multi_index_common_format2(all_parsers, kwargs):
| parser = all_parsers
| expected = DataFrame(
| [[1, 2, 3, 4, 5, 6], [7, 8, 9, 10, 11, 12]],
| index=["one", "two"],
| columns=MultiIndex.from_tuples(
| [("a", "q"), ("a", "r"), ("a", "s"), ("b", "t"), ("c", "u"), ("c", "v")]
| ),
| )
| data = """,a,a,a,b,c,c
| ,q,r,s,t,u,v
| one,1,2,3,4,5,6
| two,7,8,9,10,11,12"""
|
| result = parser.read_csv(StringIO(data), index_col=0, **kwargs)
| tm.assert_frame_equal(result, expected)
|
|
| @skip_pyarrow
| @pytest.mark.parametrize(
| "kwargs",
| [
| {"header": [0, 1]},
| {
| "skiprows": 2,
| "names": [
| ("a", "q"),
| ("a", "r"),
| ("a", "s"),
| ("b", "t"),
| ("c", "u"),
| ("c", "v"),
| ],
| },
| {
| "skiprows": 2,
| "names": [
| _TestTuple("a", "q"),
| _TestTuple("a", "r"),
| _TestTuple("a", "s"),
| _TestTuple("b", "t"),
| _TestTuple("c", "u"),
| _TestTuple("c", "v"),
| ],
| },
| ],
| )
| def test_header_multi_index_common_format3(all_parsers, kwargs):
| parser = all_parsers
| expected = DataFrame(
| [[1, 2, 3, 4, 5, 6], [7, 8, 9, 10, 11, 12]],
| index=["one", "two"],
| columns=MultiIndex.from_tuples(
| [("a", "q"), ("a", "r"), ("a", "s"), ("b", "t"), ("c", "u"), ("c", "v")]
| ),
| )
| expected = expected.reset_index(drop=True)
| data = """a,a,a,b,c,c
| q,r,s,t,u,v
| 1,2,3,4,5,6
| 7,8,9,10,11,12"""
|
| result = parser.read_csv(StringIO(data), index_col=None, **kwargs)
| tm.assert_frame_equal(result, expected)
|
|
| @skip_pyarrow
| def test_header_multi_index_common_format_malformed1(all_parsers):
| parser = all_parsers
| expected = DataFrame(
| np.array([[2, 3, 4, 5, 6], [8, 9, 10, 11, 12]], dtype="int64"),
| index=Index([1, 7]),
| columns=MultiIndex(
| levels=[["a", "b", "c"], ["r", "s", "t", "u", "v"]],
| codes=[[0, 0, 1, 2, 2], [0, 1, 2, 3, 4]],
| names=["a", "q"],
| ),
| )
| data = """a,a,a,b,c,c
| q,r,s,t,u,v
| 1,2,3,4,5,6
| 7,8,9,10,11,12"""
|
| result = parser.read_csv(StringIO(data), header=[0, 1], index_col=0)
| tm.assert_frame_equal(expected, result)
|
|
| @skip_pyarrow
| def test_header_multi_index_common_format_malformed2(all_parsers):
| parser = all_parsers
| expected = DataFrame(
| np.array([[2, 3, 4, 5, 6], [8, 9, 10, 11, 12]], dtype="int64"),
| index=Index([1, 7]),
| columns=MultiIndex(
| levels=[["a", "b", "c"], ["r", "s", "t", "u", "v"]],
| codes=[[0, 0, 1, 2, 2], [0, 1, 2, 3, 4]],
| names=[None, "q"],
| ),
| )
|
| data = """,a,a,b,c,c
| q,r,s,t,u,v
| 1,2,3,4,5,6
| 7,8,9,10,11,12"""
|
| result = parser.read_csv(StringIO(data), header=[0, 1], index_col=0)
| tm.assert_frame_equal(expected, result)
|
|
| @skip_pyarrow
| def test_header_multi_index_common_format_malformed3(all_parsers):
| parser = all_parsers
| expected = DataFrame(
| np.array([[3, 4, 5, 6], [9, 10, 11, 12]], dtype="int64"),
| index=MultiIndex(levels=[[1, 7], [2, 8]], codes=[[0, 1], [0, 1]]),
| columns=MultiIndex(
| levels=[["a", "b", "c"], ["s", "t", "u", "v"]],
| codes=[[0, 1, 2, 2], [0, 1, 2, 3]],
| names=[None, "q"],
| ),
| )
| data = """,a,a,b,c,c
| q,r,s,t,u,v
| 1,2,3,4,5,6
| 7,8,9,10,11,12"""
|
| result = parser.read_csv(StringIO(data), header=[0, 1], index_col=[0, 1])
| tm.assert_frame_equal(expected, result)
|
|
| @skip_pyarrow
| def test_header_multi_index_blank_line(all_parsers):
| # GH 40442
| parser = all_parsers
| data = [[None, None], [1, 2], [3, 4]]
| columns = MultiIndex.from_tuples([("a", "A"), ("b", "B")])
| expected = DataFrame(data, columns=columns)
| data = "a,b\nA,B\n,\n1,2\n3,4"
| result = parser.read_csv(StringIO(data), header=[0, 1])
| tm.assert_frame_equal(expected, result)
|
|
| @skip_pyarrow
| @pytest.mark.parametrize(
| "data,header", [("1,2,3\n4,5,6", None), ("foo,bar,baz\n1,2,3\n4,5,6", 0)]
| )
| def test_header_names_backward_compat(all_parsers, data, header):
| # see gh-2539
| parser = all_parsers
| expected = parser.read_csv(StringIO("1,2,3\n4,5,6"), names=["a", "b", "c"])
|
| result = parser.read_csv(StringIO(data), names=["a", "b", "c"], header=header)
| tm.assert_frame_equal(result, expected)
|
|
| @skip_pyarrow
| @pytest.mark.parametrize("kwargs", [{}, {"index_col": False}])
| def test_read_only_header_no_rows(all_parsers, kwargs):
| # See gh-7773
| parser = all_parsers
| expected = DataFrame(columns=["a", "b", "c"])
|
| result = parser.read_csv(StringIO("a,b,c"), **kwargs)
| tm.assert_frame_equal(result, expected)
|
|
| @pytest.mark.parametrize(
| "kwargs,names",
| [
| ({}, [0, 1, 2, 3, 4]),
| (
| {"names": ["foo", "bar", "baz", "quux", "panda"]},
| ["foo", "bar", "baz", "quux", "panda"],
| ),
| ],
| )
| def test_no_header(all_parsers, kwargs, names):
| parser = all_parsers
| data = """1,2,3,4,5
| 6,7,8,9,10
| 11,12,13,14,15
| """
| expected = DataFrame(
| [[1, 2, 3, 4, 5], [6, 7, 8, 9, 10], [11, 12, 13, 14, 15]], columns=names
| )
| result = parser.read_csv(StringIO(data), header=None, **kwargs)
| tm.assert_frame_equal(result, expected)
|
|
| @pytest.mark.parametrize("header", [["a", "b"], "string_header"])
| def test_non_int_header(all_parsers, header):
| # see gh-16338
| msg = "header must be integer or list of integers"
| data = """1,2\n3,4"""
| parser = all_parsers
|
| with pytest.raises(ValueError, match=msg):
| parser.read_csv(StringIO(data), header=header)
|
|
| @skip_pyarrow
| def test_singleton_header(all_parsers):
| # see gh-7757
| data = """a,b,c\n0,1,2\n1,2,3"""
| parser = all_parsers
|
| expected = DataFrame({"a": [0, 1], "b": [1, 2], "c": [2, 3]})
| result = parser.read_csv(StringIO(data), header=[0])
| tm.assert_frame_equal(result, expected)
|
|
| @skip_pyarrow
| @pytest.mark.parametrize(
| "data,expected",
| [
| (
| "A,A,A,B\none,one,one,two\n0,40,34,0.1",
| DataFrame(
| [[0, 40, 34, 0.1]],
| columns=MultiIndex.from_tuples(
| [("A", "one"), ("A", "one.1"), ("A", "one.2"), ("B", "two")]
| ),
| ),
| ),
| (
| "A,A,A,B\none,one,one.1,two\n0,40,34,0.1",
| DataFrame(
| [[0, 40, 34, 0.1]],
| columns=MultiIndex.from_tuples(
| [("A", "one"), ("A", "one.1"), ("A", "one.1.1"), ("B", "two")]
| ),
| ),
| ),
| (
| "A,A,A,B,B\none,one,one.1,two,two\n0,40,34,0.1,0.1",
| DataFrame(
| [[0, 40, 34, 0.1, 0.1]],
| columns=MultiIndex.from_tuples(
| [
| ("A", "one"),
| ("A", "one.1"),
| ("A", "one.1.1"),
| ("B", "two"),
| ("B", "two.1"),
| ]
| ),
| ),
| ),
| ],
| )
| def test_mangles_multi_index(all_parsers, data, expected):
| # see gh-18062
| parser = all_parsers
|
| result = parser.read_csv(StringIO(data), header=[0, 1])
| tm.assert_frame_equal(result, expected)
|
|
| @skip_pyarrow
| @pytest.mark.parametrize("index_col", [None, [0]])
| @pytest.mark.parametrize(
| "columns", [None, (["", "Unnamed"]), (["Unnamed", ""]), (["Unnamed", "NotUnnamed"])]
| )
| def test_multi_index_unnamed(all_parsers, index_col, columns):
| # see gh-23687
| #
| # When specifying a multi-index header, make sure that
| # we don't error just because one of the rows in our header
| # has ALL column names containing the string "Unnamed". The
| # correct condition to check is whether the row contains
| # ALL columns that did not have names (and instead were given
| # placeholder ones).
| parser = all_parsers
| header = [0, 1]
|
| if index_col is None:
| data = ",".join(columns or ["", ""]) + "\n0,1\n2,3\n4,5\n"
| else:
| data = ",".join([""] + (columns or ["", ""])) + "\n,0,1\n0,2,3\n1,4,5\n"
|
| result = parser.read_csv(StringIO(data), header=header, index_col=index_col)
| exp_columns = []
|
| if columns is None:
| columns = ["", "", ""]
|
| for i, col in enumerate(columns):
| if not col: # Unnamed.
| col = f"Unnamed: {i if index_col is None else i + 1}_level_0"
|
| exp_columns.append(col)
|
| columns = MultiIndex.from_tuples(zip(exp_columns, ["0", "1"]))
| expected = DataFrame([[2, 3], [4, 5]], columns=columns)
| tm.assert_frame_equal(result, expected)
|
|
| @skip_pyarrow
| def test_names_longer_than_header_but_equal_with_data_rows(all_parsers):
| # GH#38453
| parser = all_parsers
| data = """a, b
| 1,2,3
| 5,6,4
| """
| result = parser.read_csv(StringIO(data), header=0, names=["A", "B", "C"])
| expected = DataFrame({"A": [1, 5], "B": [2, 6], "C": [3, 4]})
| tm.assert_frame_equal(result, expected)
|
|
| @skip_pyarrow
| def test_read_csv_multiindex_columns(all_parsers):
| # GH#6051
| parser = all_parsers
|
| s1 = "Male, Male, Male, Female, Female\nR, R, L, R, R\n.86, .67, .88, .78, .81"
| s2 = (
| "Male, Male, Male, Female, Female\n"
| "R, R, L, R, R\n"
| ".86, .67, .88, .78, .81\n"
| ".86, .67, .88, .78, .82"
| )
|
| mi = MultiIndex.from_tuples(
| [
| ("Male", "R"),
| (" Male", " R"),
| (" Male", " L"),
| (" Female", " R"),
| (" Female", " R.1"),
| ]
| )
| expected = DataFrame(
| [[0.86, 0.67, 0.88, 0.78, 0.81], [0.86, 0.67, 0.88, 0.78, 0.82]], columns=mi
| )
|
| df1 = parser.read_csv(StringIO(s1), header=[0, 1])
| tm.assert_frame_equal(df1, expected.iloc[:1])
| df2 = parser.read_csv(StringIO(s2), header=[0, 1])
| tm.assert_frame_equal(df2, expected)
|
|
| @skip_pyarrow
| def test_read_csv_multi_header_length_check(all_parsers):
| # GH#43102
| parser = all_parsers
|
| case = """row11,row12,row13
| row21,row22, row23
| row31,row32
| """
|
| with pytest.raises(
| ParserError, match="Header rows must have an equal number of columns."
| ):
| parser.read_csv(StringIO(case), header=[0, 2])
|
|
| @skip_pyarrow
| def test_header_none_and_implicit_index(all_parsers):
| # GH#22144
| parser = all_parsers
| data = "x,1,5\ny,2\nz,3\n"
| result = parser.read_csv(StringIO(data), names=["a", "b"], header=None)
| expected = DataFrame(
| {"a": [1, 2, 3], "b": [5, np.nan, np.nan]}, index=["x", "y", "z"]
| )
| tm.assert_frame_equal(result, expected)
|
|
| @skip_pyarrow
| def test_header_none_and_implicit_index_in_second_row(all_parsers):
| # GH#22144
| parser = all_parsers
| data = "x,1\ny,2,5\nz,3\n"
| with pytest.raises(ParserError, match="Expected 2 fields in line 2, saw 3"):
| parser.read_csv(StringIO(data), names=["a", "b"], header=None)
|
|
| @skip_pyarrow
| def test_header_none_and_on_bad_lines_skip(all_parsers):
| # GH#22144
| parser = all_parsers
| data = "x,1\ny,2,5\nz,3\n"
| result = parser.read_csv(
| StringIO(data), names=["a", "b"], header=None, on_bad_lines="skip"
| )
| expected = DataFrame({"a": ["x", "z"], "b": [1, 3]})
| tm.assert_frame_equal(result, expected)
|
|
| @skip_pyarrow
| def test_header_missing_rows(all_parsers):
| # GH#47400
| parser = all_parsers
| data = """a,b
| 1,2
| """
| msg = r"Passed header=\[0,1,2\], len of 3, but only 2 lines in file"
| with pytest.raises(ValueError, match=msg):
| parser.read_csv(StringIO(data), header=[0, 1, 2])
|
|
