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repo_id stringlengths 12 110 | file_path stringlengths 24 164 | content stringlengths 3 89.3M | __index_level_0__ int64 0 0 |
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public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/multi/test_partial_indexing.py | import numpy as np
import pytest
from pandas import (
DataFrame,
IndexSlice,
MultiIndex,
date_range,
)
import pandas._testing as tm
@pytest.fixture
def df():
# c1
# 2016-01-01 00:00:00 a 0
# b 1
# c 2
# 2016-01-0... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/multi/test_names.py | import pytest
import pandas as pd
from pandas import MultiIndex
import pandas._testing as tm
def check_level_names(index, names):
assert [level.name for level in index.levels] == list(names)
def test_slice_keep_name():
x = MultiIndex.from_tuples([("a", "b"), (1, 2), ("c", "d")], names=["x", "y"])
asser... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/multi/test_sorting.py | import numpy as np
import pytest
from pandas.errors import (
PerformanceWarning,
UnsortedIndexError,
)
from pandas import (
CategoricalIndex,
DataFrame,
Index,
MultiIndex,
RangeIndex,
Series,
Timestamp,
)
import pandas._testing as tm
from pandas.core.indexes.frozen import FrozenLis... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/multi/test_astype.py | import numpy as np
import pytest
from pandas.core.dtypes.dtypes import CategoricalDtype
import pandas._testing as tm
def test_astype(idx):
expected = idx.copy()
actual = idx.astype("O")
tm.assert_copy(actual.levels, expected.levels)
tm.assert_copy(actual.codes, expected.codes)
assert actual.name... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/multi/test_isin.py | import numpy as np
import pytest
from pandas import MultiIndex
import pandas._testing as tm
def test_isin_nan():
idx = MultiIndex.from_arrays([["foo", "bar"], [1.0, np.nan]])
tm.assert_numpy_array_equal(idx.isin([("bar", np.nan)]), np.array([False, True]))
tm.assert_numpy_array_equal(
idx.isin([(... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/multi/test_get_set.py | import numpy as np
import pytest
from pandas.compat import PY311
from pandas.core.dtypes.dtypes import DatetimeTZDtype
import pandas as pd
from pandas import (
CategoricalIndex,
MultiIndex,
)
import pandas._testing as tm
def assert_matching(actual, expected, check_dtype=False):
# avoid specifying inter... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/multi/test_formats.py | import numpy as np
import pytest
import pandas as pd
from pandas import (
Index,
MultiIndex,
)
import pandas._testing as tm
def test_format(idx):
msg = "MultiIndex.format is deprecated"
with tm.assert_produces_warning(FutureWarning, match=msg):
idx.format()
idx[:0].format()
def test... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/multi/test_get_level_values.py | import numpy as np
import pandas as pd
from pandas import (
CategoricalIndex,
Index,
MultiIndex,
Timestamp,
date_range,
)
import pandas._testing as tm
class TestGetLevelValues:
def test_get_level_values_box_datetime64(self):
dates = date_range("1/1/2000", periods=4)
levels = [... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/multi/test_monotonic.py | import numpy as np
import pytest
from pandas import (
Index,
MultiIndex,
)
def test_is_monotonic_increasing_lexsorted(lexsorted_two_level_string_multiindex):
# string ordering
mi = lexsorted_two_level_string_multiindex
assert mi.is_monotonic_increasing is False
assert Index(mi.values).is_mono... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/multi/test_analytics.py | import numpy as np
import pytest
import pandas as pd
from pandas import (
Index,
MultiIndex,
date_range,
period_range,
)
import pandas._testing as tm
def test_infer_objects(idx):
with pytest.raises(NotImplementedError, match="to_frame"):
idx.infer_objects()
def test_shift(idx):
# GH... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/multi/test_missing.py | import numpy as np
import pytest
import pandas as pd
from pandas import MultiIndex
import pandas._testing as tm
def test_fillna(idx):
# GH 11343
msg = "isna is not defined for MultiIndex"
with pytest.raises(NotImplementedError, match=msg):
idx.fillna(idx[0])
def test_dropna():
# GH 6194
... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/multi/test_reindex.py | import numpy as np
import pytest
import pandas as pd
from pandas import (
Index,
MultiIndex,
)
import pandas._testing as tm
def test_reindex(idx):
result, indexer = idx.reindex(list(idx[:4]))
assert isinstance(result, MultiIndex)
assert result.names == ["first", "second"]
assert [level.name f... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/multi/test_drop.py | import numpy as np
import pytest
from pandas.errors import PerformanceWarning
import pandas as pd
from pandas import (
Index,
MultiIndex,
)
import pandas._testing as tm
def test_drop(idx):
dropped = idx.drop([("foo", "two"), ("qux", "one")])
index = MultiIndex.from_tuples([("foo", "two"), ("qux", "... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/multi/test_take.py | import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
def test_take(idx):
indexer = [4, 3, 0, 2]
result = idx.take(indexer)
expected = idx[indexer]
assert result.equals(expected)
# GH 10791
msg = "'MultiIndex' object has no attribute 'freq'"
with pytest.raises... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/multi/conftest.py | import numpy as np
import pytest
import pandas as pd
from pandas import (
Index,
MultiIndex,
)
# Note: identical the "multi" entry in the top-level "index" fixture
@pytest.fixture
def idx():
# a MultiIndex used to test the general functionality of the
# general functionality of this object
major_... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/multi/test_lexsort.py | from pandas import MultiIndex
class TestIsLexsorted:
def test_is_lexsorted(self):
levels = [[0, 1], [0, 1, 2]]
index = MultiIndex(
levels=levels, codes=[[0, 0, 0, 1, 1, 1], [0, 1, 2, 0, 1, 2]]
)
assert index._is_lexsorted()
index = MultiIndex(
leve... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/multi/test_duplicates.py | from itertools import product
import numpy as np
import pytest
from pandas._libs import (
hashtable,
index as libindex,
)
from pandas import (
NA,
DatetimeIndex,
MultiIndex,
Series,
)
import pandas._testing as tm
@pytest.mark.parametrize("names", [None, ["first", "second"]])
def test_unique... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/multi/test_pickle.py | import pytest
from pandas import MultiIndex
def test_pickle_compat_construction():
# this is testing for pickle compat
# need an object to create with
with pytest.raises(TypeError, match="Must pass both levels and codes"):
MultiIndex()
| 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/multi/test_indexing.py | from datetime import timedelta
import re
import numpy as np
import pytest
from pandas._libs import index as libindex
from pandas.errors import (
InvalidIndexError,
PerformanceWarning,
)
import pandas as pd
from pandas import (
Categorical,
Index,
MultiIndex,
date_range,
)
import pandas._testi... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/multi/test_setops.py | import numpy as np
import pytest
import pandas as pd
from pandas import (
CategoricalIndex,
DataFrame,
Index,
IntervalIndex,
MultiIndex,
Series,
)
import pandas._testing as tm
from pandas.api.types import (
is_float_dtype,
is_unsigned_integer_dtype,
)
@pytest.mark.parametrize("case", ... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/multi/test_conversion.py | import numpy as np
import pytest
import pandas as pd
from pandas import (
DataFrame,
MultiIndex,
)
import pandas._testing as tm
def test_to_numpy(idx):
result = idx.to_numpy()
exp = idx.values
tm.assert_numpy_array_equal(result, exp)
def test_to_frame():
tuples = [(1, "one"), (1, "two"), (2... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/multi/test_constructors.py | from datetime import (
date,
datetime,
)
import itertools
import numpy as np
import pytest
from pandas.core.dtypes.cast import construct_1d_object_array_from_listlike
import pandas as pd
from pandas import (
Index,
MultiIndex,
Series,
Timestamp,
date_range,
)
import pandas._testing as tm
... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/multi/test_integrity.py | import re
import numpy as np
import pytest
from pandas._libs import index as libindex
from pandas.core.dtypes.cast import construct_1d_object_array_from_listlike
import pandas as pd
from pandas import (
Index,
IntervalIndex,
MultiIndex,
RangeIndex,
)
import pandas._testing as tm
def test_labels_dt... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/multi/test_reshape.py | from datetime import datetime
import numpy as np
import pytest
import pytz
import pandas as pd
from pandas import (
Index,
MultiIndex,
)
import pandas._testing as tm
def test_insert(idx):
# key contained in all levels
new_index = idx.insert(0, ("bar", "two"))
assert new_index.equal_levels(idx)
... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/multi/test_compat.py | import numpy as np
import pytest
import pandas as pd
from pandas import MultiIndex
import pandas._testing as tm
def test_numeric_compat(idx):
with pytest.raises(TypeError, match="cannot perform __mul__"):
idx * 1
with pytest.raises(TypeError, match="cannot perform __rmul__"):
1 * idx
di... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/multi/test_equivalence.py | import numpy as np
import pytest
from pandas.core.dtypes.common import is_any_real_numeric_dtype
import pandas as pd
from pandas import (
Index,
MultiIndex,
Series,
)
import pandas._testing as tm
def test_equals(idx):
assert idx.equals(idx)
assert idx.equals(idx.copy())
assert idx.equals(idx... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/multi/test_join.py | import numpy as np
import pytest
from pandas import (
DataFrame,
Index,
Interval,
MultiIndex,
Series,
StringDtype,
)
import pandas._testing as tm
@pytest.mark.parametrize(
"other", [Index(["three", "one", "two"]), Index(["one"]), Index(["one", "three"])]
)
def test_join_level(idx, other, ... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/multi/test_copy.py | from copy import (
copy,
deepcopy,
)
import pytest
from pandas import MultiIndex
import pandas._testing as tm
def assert_multiindex_copied(copy, original):
# Levels should be (at least, shallow copied)
tm.assert_copy(copy.levels, original.levels)
tm.assert_almost_equal(copy.codes, original.codes... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/ranges/test_indexing.py | import numpy as np
import pytest
from pandas import (
Index,
RangeIndex,
)
import pandas._testing as tm
class TestGetIndexer:
def test_get_indexer(self):
index = RangeIndex(start=0, stop=20, step=2)
target = RangeIndex(10)
indexer = index.get_indexer(target)
expected = np.... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/ranges/test_setops.py | from datetime import (
datetime,
timedelta,
)
from hypothesis import (
assume,
given,
strategies as st,
)
import numpy as np
import pytest
from pandas import (
Index,
RangeIndex,
)
import pandas._testing as tm
class TestRangeIndexSetOps:
@pytest.mark.parametrize("dtype", [None, "int6... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/ranges/test_range.py | import numpy as np
import pytest
from pandas.core.dtypes.common import ensure_platform_int
import pandas as pd
from pandas import (
Index,
RangeIndex,
)
import pandas._testing as tm
class TestRangeIndex:
@pytest.fixture
def simple_index(self):
return RangeIndex(start=0, stop=20, step=2)
... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/ranges/test_constructors.py | from datetime import datetime
import numpy as np
import pytest
from pandas import (
Index,
RangeIndex,
Series,
)
import pandas._testing as tm
class TestRangeIndexConstructors:
@pytest.mark.parametrize("name", [None, "foo"])
@pytest.mark.parametrize(
"args, kwargs, start, stop, step",
... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/ranges/test_join.py | import numpy as np
from pandas import (
Index,
RangeIndex,
)
import pandas._testing as tm
class TestJoin:
def test_join_outer(self):
# join with Index[int64]
index = RangeIndex(start=0, stop=20, step=2)
other = Index(np.arange(25, 14, -1, dtype=np.int64))
res, lidx, ridx ... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/base_class/test_formats.py | import numpy as np
import pytest
import pandas._config.config as cf
from pandas import Index
import pandas._testing as tm
class TestIndexRendering:
def test_repr_is_valid_construction_code(self):
# for the case of Index, where the repr is traditional rather than
# stylized
idx = Index(["... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/base_class/test_pickle.py | from pandas import Index
import pandas._testing as tm
def test_pickle_preserves_object_dtype():
# GH#43188, GH#43155 don't infer numeric dtype
index = Index([1, 2, 3], dtype=object)
result = tm.round_trip_pickle(index)
assert result.dtype == object
tm.assert_index_equal(index, result)
| 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/base_class/test_indexing.py | import numpy as np
import pytest
from pandas._libs import index as libindex
import pandas as pd
from pandas import (
Index,
NaT,
)
import pandas._testing as tm
class TestGetSliceBounds:
@pytest.mark.parametrize("side, expected", [("left", 4), ("right", 5)])
def test_get_slice_bounds_within(self, sid... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/base_class/test_setops.py | from datetime import datetime
import numpy as np
import pytest
import pandas as pd
from pandas import (
Index,
Series,
)
import pandas._testing as tm
from pandas.core.algorithms import safe_sort
class TestIndexSetOps:
@pytest.mark.parametrize(
"method", ["union", "intersection", "difference", "s... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/base_class/test_constructors.py | import numpy as np
import pytest
import pandas as pd
from pandas import (
Index,
MultiIndex,
)
import pandas._testing as tm
class TestIndexConstructor:
# Tests for the Index constructor, specifically for cases that do
# not return a subclass
@pytest.mark.parametrize("value", [1, np.int64(1)])
... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/base_class/test_reshape.py | """
Tests for ndarray-like method on the base Index class
"""
import numpy as np
import pytest
from pandas import Index
import pandas._testing as tm
class TestReshape:
def test_repeat(self):
repeats = 2
index = Index([1, 2, 3])
expected = Index([1, 1, 2, 2, 3, 3])
result = index.... | 0 |
public_repos/pandas/pandas/tests/indexes | public_repos/pandas/pandas/tests/indexes/base_class/test_where.py | import numpy as np
from pandas import Index
import pandas._testing as tm
class TestWhere:
def test_where_intlike_str_doesnt_cast_ints(self):
idx = Index(range(3))
mask = np.array([True, False, True])
res = idx.where(mask, "2")
expected = Index([0, "2", 2])
tm.assert_index_... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/util/test_assert_interval_array_equal.py | import pytest
from pandas import interval_range
import pandas._testing as tm
@pytest.mark.parametrize(
"kwargs",
[
{"start": 0, "periods": 4},
{"start": 1, "periods": 5},
{"start": 5, "end": 10, "closed": "left"},
],
)
def test_interval_array_equal(kwargs):
arr = interval_rang... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/util/test_shares_memory.py | import pandas.util._test_decorators as td
import pandas as pd
import pandas._testing as tm
def test_shares_memory_interval():
obj = pd.interval_range(1, 5)
assert tm.shares_memory(obj, obj)
assert tm.shares_memory(obj, obj._data)
assert tm.shares_memory(obj, obj[::-1])
assert tm.shares_memory(ob... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/util/test_assert_index_equal.py | import numpy as np
import pytest
from pandas import (
NA,
Categorical,
CategoricalIndex,
Index,
MultiIndex,
NaT,
RangeIndex,
)
import pandas._testing as tm
def test_index_equal_levels_mismatch():
msg = """Index are different
Index levels are different
\\[left\\]: 1, Index\\(\\[1, 2,... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/util/test_assert_extension_array_equal.py | import numpy as np
import pytest
from pandas import (
Timestamp,
array,
)
import pandas._testing as tm
from pandas.core.arrays.sparse import SparseArray
@pytest.mark.parametrize(
"kwargs",
[
{}, # Default is check_exact=False
{"check_exact": False},
{"check_exact": True},
... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/util/test_deprecate_kwarg.py | import pytest
from pandas.util._decorators import deprecate_kwarg
import pandas._testing as tm
@deprecate_kwarg("old", "new")
def _f1(new=False):
return new
_f2_mappings = {"yes": True, "no": False}
@deprecate_kwarg("old", "new", _f2_mappings)
def _f2(new=False):
return new
def _f3_mapping(x):
ret... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/util/test_deprecate_nonkeyword_arguments.py | """
Tests for the `deprecate_nonkeyword_arguments` decorator
"""
import inspect
from pandas.util._decorators import deprecate_nonkeyword_arguments
import pandas._testing as tm
@deprecate_nonkeyword_arguments(
version="1.1", allowed_args=["a", "b"], name="f_add_inputs"
)
def f(a, b=0, c=0, d=0):
return a + ... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/util/test_rewrite_warning.py | import warnings
import pytest
from pandas.util._exceptions import rewrite_warning
import pandas._testing as tm
@pytest.mark.parametrize(
"target_category, target_message, hit",
[
(FutureWarning, "Target message", True),
(FutureWarning, "Target", True),
(FutureWarning, "get mess", Tr... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/util/test_validate_args.py | import pytest
from pandas.util._validators import validate_args
@pytest.fixture
def _fname():
return "func"
def test_bad_min_fname_arg_count(_fname):
msg = "'max_fname_arg_count' must be non-negative"
with pytest.raises(ValueError, match=msg):
validate_args(_fname, (None,), -1, "foo")
def te... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/util/conftest.py | import pytest
@pytest.fixture(params=[True, False])
def check_dtype(request):
return request.param
@pytest.fixture(params=[True, False])
def check_exact(request):
return request.param
@pytest.fixture(params=[True, False])
def check_index_type(request):
return request.param
@pytest.fixture(params=[0.... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/util/test_assert_categorical_equal.py | import pytest
from pandas import Categorical
import pandas._testing as tm
@pytest.mark.parametrize(
"c",
[Categorical([1, 2, 3, 4]), Categorical([1, 2, 3, 4], categories=[1, 2, 3, 4, 5])],
)
def test_categorical_equal(c):
tm.assert_categorical_equal(c, c)
@pytest.mark.parametrize("check_category_order"... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/util/test_doc.py | from textwrap import dedent
from pandas.util._decorators import doc
@doc(method="cumsum", operation="sum")
def cumsum(whatever):
"""
This is the {method} method.
It computes the cumulative {operation}.
"""
@doc(
cumsum,
dedent(
"""
Examples
--------
>>> cum... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/util/test_deprecate.py | from textwrap import dedent
import pytest
from pandas.util._decorators import deprecate
import pandas._testing as tm
def new_func():
"""
This is the summary. The deprecate directive goes next.
This is the extended summary. The deprecate directive goes before this.
"""
return "new_func called"
... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/util/test_make_objects.py | """
Tests for tm.makeFoo functions.
"""
import numpy as np
import pandas._testing as tm
def test_make_multiindex_respects_k():
# GH#38795 respect 'k' arg
N = np.random.default_rng(2).integers(0, 100)
mi = tm.makeMultiIndex(k=N)
assert len(mi) == N
| 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/util/test_validate_inclusive.py | import numpy as np
import pytest
from pandas.util._validators import validate_inclusive
import pandas as pd
@pytest.mark.parametrize(
"invalid_inclusive",
(
"ccc",
2,
object(),
None,
np.nan,
pd.NA,
pd.DataFrame(),
),
)
def test_invalid_inclusive(in... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/util/test_validate_args_and_kwargs.py | import pytest
from pandas.util._validators import validate_args_and_kwargs
@pytest.fixture
def _fname():
return "func"
def test_invalid_total_length_max_length_one(_fname):
compat_args = ("foo",)
kwargs = {"foo": "FOO"}
args = ("FoO", "BaZ")
min_fname_arg_count = 0
max_length = len(compat_... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/util/test_util.py | import os
import pytest
from pandas import (
array,
compat,
)
import pandas._testing as tm
def test_numpy_err_state_is_default():
expected = {"over": "warn", "divide": "warn", "invalid": "warn", "under": "ignore"}
import numpy as np
# The error state should be unchanged after that import.
a... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/util/test_assert_numpy_array_equal.py | import copy
import numpy as np
import pytest
import pandas as pd
from pandas import Timestamp
import pandas._testing as tm
def test_assert_numpy_array_equal_shape_mismatch():
msg = """numpy array are different
numpy array shapes are different
\\[left\\]: \\(2L*,\\)
\\[right\\]: \\(3L*,\\)"""
with pytest.... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/util/test_assert_almost_equal.py | import numpy as np
import pytest
from pandas import (
NA,
DataFrame,
Index,
NaT,
Series,
Timestamp,
)
import pandas._testing as tm
def _assert_almost_equal_both(a, b, **kwargs):
"""
Check that two objects are approximately equal.
This check is performed commutatively.
Parame... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/util/test_assert_frame_equal.py | import pytest
import pandas as pd
from pandas import DataFrame
import pandas._testing as tm
@pytest.fixture(params=[True, False])
def by_blocks_fixture(request):
return request.param
@pytest.fixture(params=["DataFrame", "Series"])
def obj_fixture(request):
return request.param
def _assert_frame_equal_bot... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/util/test_show_versions.py | import json
import os
import re
from pandas.util._print_versions import (
_get_dependency_info,
_get_sys_info,
)
import pandas as pd
def test_show_versions(tmpdir):
# GH39701
as_json = os.path.join(tmpdir, "test_output.json")
pd.show_versions(as_json=as_json)
with open(as_json, encoding="u... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/util/test_hashing.py | import numpy as np
import pytest
import pandas as pd
from pandas import (
DataFrame,
Index,
MultiIndex,
Series,
)
import pandas._testing as tm
from pandas.core.util.hashing import hash_tuples
from pandas.util import (
hash_array,
hash_pandas_object,
)
@pytest.fixture(
params=[
Ser... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/util/test_numba.py | import pytest
import pandas.util._test_decorators as td
from pandas import option_context
@td.skip_if_installed("numba")
def test_numba_not_installed_option_context():
with pytest.raises(ImportError, match="Missing optional"):
with option_context("compute.use_numba", True):
pass
| 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/util/test_assert_series_equal.py | import numpy as np
import pytest
import pandas as pd
from pandas import (
Categorical,
DataFrame,
Series,
)
import pandas._testing as tm
def _assert_series_equal_both(a, b, **kwargs):
"""
Check that two Series equal.
This check is performed commutatively.
Parameters
----------
a... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/util/test_validate_kwargs.py | import pytest
from pandas.util._validators import (
validate_bool_kwarg,
validate_kwargs,
)
@pytest.fixture
def _fname():
return "func"
def test_bad_kwarg(_fname):
good_arg = "f"
bad_arg = good_arg + "o"
compat_args = {good_arg: "foo", bad_arg + "o": "bar"}
kwargs = {good_arg: "foo", b... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/util/test_assert_attr_equal.py | from types import SimpleNamespace
import pytest
from pandas.core.dtypes.common import is_float
import pandas._testing as tm
def test_assert_attr_equal(nulls_fixture):
obj = SimpleNamespace()
obj.na_value = nulls_fixture
tm.assert_attr_equal("na_value", obj, obj)
def test_assert_attr_equal_different_n... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/util/test_assert_produces_warning.py | """"
Test module for testing ``pandas._testing.assert_produces_warning``.
"""
import warnings
import pytest
from pandas.errors import (
DtypeWarning,
PerformanceWarning,
)
import pandas._testing as tm
@pytest.fixture(
params=[
RuntimeWarning,
ResourceWarning,
UserWarning,
... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/api/test_types.py | from __future__ import annotations
import pandas._testing as tm
from pandas.api import types
from pandas.tests.api.test_api import Base
class TestTypes(Base):
allowed = [
"is_any_real_numeric_dtype",
"is_bool",
"is_bool_dtype",
"is_categorical_dtype",
"is_complex",
... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/api/test_api.py | from __future__ import annotations
import pytest
import pandas as pd
from pandas import api
import pandas._testing as tm
from pandas.api import (
extensions as api_extensions,
indexers as api_indexers,
interchange as api_interchange,
types as api_types,
typing as api_typing,
)
class Base:
de... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/resample/test_time_grouper.py | from datetime import datetime
from operator import methodcaller
import numpy as np
import pytest
import pandas as pd
from pandas import (
DataFrame,
Series,
Timestamp,
)
import pandas._testing as tm
from pandas.core.groupby.grouper import Grouper
from pandas.core.indexes.datetimes import date_range
@pyt... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/resample/test_datetime_index.py | from datetime import datetime
from functools import partial
import numpy as np
import pytest
import pytz
from pandas._libs import lib
from pandas._typing import DatetimeNaTType
import pandas as pd
from pandas import (
DataFrame,
Series,
Timedelta,
Timestamp,
isna,
notna,
)
import pandas._test... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/resample/test_timedelta.py | from datetime import timedelta
import numpy as np
import pytest
import pandas as pd
from pandas import (
DataFrame,
Series,
)
import pandas._testing as tm
from pandas.core.indexes.timedeltas import timedelta_range
def test_asfreq_bug():
df = DataFrame(data=[1, 3], index=[timedelta(), timedelta(minutes=3... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/resample/test_resampler_grouper.py | from textwrap import dedent
import numpy as np
import pytest
from pandas.compat import is_platform_windows
import pandas as pd
from pandas import (
DataFrame,
Index,
Series,
TimedeltaIndex,
Timestamp,
)
import pandas._testing as tm
from pandas.core.indexes.datetimes import date_range
@pytest.fi... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/resample/test_resample_api.py | from datetime import datetime
import re
import numpy as np
import pytest
from pandas._libs import lib
from pandas.errors import UnsupportedFunctionCall
import pandas as pd
from pandas import (
DataFrame,
NamedAgg,
Series,
)
import pandas._testing as tm
from pandas.core.indexes.datetimes import date_range... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/resample/conftest.py | from datetime import datetime
import warnings
import numpy as np
import pytest
from pandas import (
DataFrame,
Series,
)
from pandas.core.indexes.datetimes import date_range
from pandas.core.indexes.period import period_range
# The various methods we support
downsample_methods = [
"min",
"max",
"... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/resample/test_base.py | from datetime import datetime
import numpy as np
import pytest
from pandas import (
DataFrame,
MultiIndex,
NaT,
PeriodIndex,
Series,
TimedeltaIndex,
)
import pandas._testing as tm
from pandas.core.groupby.groupby import DataError
from pandas.core.groupby.grouper import Grouper
from pandas.core... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/resample/test_period_index.py | from datetime import datetime
import dateutil
import numpy as np
import pytest
import pytz
from pandas._libs.tslibs.ccalendar import (
DAYS,
MONTHS,
)
from pandas._libs.tslibs.period import IncompatibleFrequency
from pandas.errors import InvalidIndexError
import pandas as pd
from pandas import (
DataFram... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/io/generate_legacy_storage_files.py | """
self-contained to write legacy storage pickle files
To use this script. Create an environment where you want
generate pickles, say its for 0.20.3, with your pandas clone
in ~/pandas
. activate pandas_0.20.3
cd ~/pandas/pandas
$ python -m tests.io.generate_legacy_storage_files \
tests/io/data/legacy_pickle/0.... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/io/test_parquet.py | """ test parquet compat """
import datetime
from decimal import Decimal
from io import BytesIO
import os
import pathlib
import numpy as np
import pytest
from pandas._config import using_copy_on_write
from pandas._config.config import _get_option
from pandas.compat import is_platform_windows
from pandas.compat.pyarro... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/io/test_gbq.py | import pandas as pd
import pandas._testing as tm
def test_read_gbq_deprecated():
with tm.assert_produces_warning(FutureWarning):
with tm.external_error_raised(Exception):
pd.read_gbq("fake")
def test_to_gbq_deprecated():
with tm.assert_produces_warning(FutureWarning):
with tm.ext... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/io/test_spss.py | import datetime
from pathlib import Path
import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
from pandas.util.version import Version
pyreadstat = pytest.importorskip("pyreadstat")
# TODO(CoW) - detection of chained assignment in cython
# https://github.com/pandas-dev/pandas/issues/513... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/io/conftest.py | import shlex
import subprocess
import time
import uuid
import pytest
from pandas.compat import (
is_ci_environment,
is_platform_arm,
is_platform_mac,
is_platform_windows,
)
import pandas.util._test_decorators as td
import pandas.io.common as icom
from pandas.io.parsers import read_csv
@pytest.fixtu... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/io/test_sql.py | from __future__ import annotations
import contextlib
from contextlib import closing
import csv
from datetime import (
date,
datetime,
time,
timedelta,
)
from io import StringIO
from pathlib import Path
import sqlite3
from typing import TYPE_CHECKING
import uuid
import numpy as np
import pytest
from p... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/io/test_fsspec.py | import io
import numpy as np
import pytest
from pandas import (
DataFrame,
date_range,
read_csv,
read_excel,
read_feather,
read_json,
read_parquet,
read_pickle,
read_stata,
read_table,
)
import pandas._testing as tm
from pandas.util import _test_decorators as td
pytestmark = p... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/io/test_gcs.py | from io import BytesIO
import os
import pathlib
import tarfile
import zipfile
import numpy as np
import pytest
from pandas import (
DataFrame,
date_range,
read_csv,
read_excel,
read_json,
read_parquet,
)
import pandas._testing as tm
from pandas.util import _test_decorators as td
pytestmark = ... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/io/test_feather.py | """ test feather-format compat """
import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
from pandas.core.arrays import (
ArrowStringArray,
StringArray,
)
from pandas.io.feather_format import read_feather, to_feather # isort:skip
pytestmark = pytest.mark.filterwarnings(
"igno... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/io/test_common.py | """
Tests for the pandas.io.common functionalities
"""
import codecs
import errno
from functools import partial
from io import (
BytesIO,
StringIO,
UnsupportedOperation,
)
import mmap
import os
from pathlib import Path
import pickle
import tempfile
import pytest
from pandas.compat import is_platform_windo... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/io/test_pickle.py | """
manage legacy pickle tests
How to add pickle tests:
1. Install pandas version intended to output the pickle.
2. Execute "generate_legacy_storage_files.py" to create the pickle.
$ python generate_legacy_storage_files.py <output_dir> pickle
3. Move the created pickle to "data/legacy_pickle/<version>" directory.
"... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/io/test_html.py | from collections.abc import Iterator
from functools import partial
from io import (
BytesIO,
StringIO,
)
import os
from pathlib import Path
import re
import threading
from urllib.error import URLError
import numpy as np
import pytest
from pandas.compat import is_platform_windows
import pandas.util._test_decor... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/io/test_orc.py | """ test orc compat """
import datetime
from decimal import Decimal
from io import BytesIO
import os
import pathlib
import numpy as np
import pytest
import pandas as pd
from pandas import read_orc
import pandas._testing as tm
from pandas.core.arrays import StringArray
pytest.importorskip("pyarrow.orc")
import pyarr... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/io/test_compression.py | import gzip
import io
import os
from pathlib import Path
import subprocess
import sys
import tarfile
import textwrap
import time
import zipfile
import pytest
from pandas.compat import is_platform_windows
import pandas as pd
import pandas._testing as tm
import pandas.io.common as icom
@pytest.mark.parametrize(
... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/io/test_s3.py | from io import BytesIO
import pytest
from pandas import read_csv
def test_streaming_s3_objects():
# GH17135
# botocore gained iteration support in 1.10.47, can now be used in read_*
pytest.importorskip("botocore", minversion="1.10.47")
from botocore.response import StreamingBody
data = [b"foo,b... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/io/test_clipboard.py | import os
from textwrap import dedent
import numpy as np
import pytest
from pandas.compat import (
is_ci_environment,
is_platform_mac,
)
from pandas.errors import (
PyperclipException,
PyperclipWindowsException,
)
import pandas as pd
from pandas import (
NA,
DataFrame,
Series,
get_opt... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/io/test_stata.py | import bz2
import datetime as dt
from datetime import datetime
import gzip
import io
import os
import struct
import tarfile
import zipfile
import numpy as np
import pytest
import pandas as pd
from pandas import CategoricalDtype
import pandas._testing as tm
from pandas.core.frame import (
DataFrame,
Series,
)
... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/io/test_user_agent.py | """
Tests for the pandas custom headers in http(s) requests
"""
import gzip
import http.server
from io import BytesIO
import multiprocessing
import socket
import time
import urllib.error
import pytest
from pandas.compat import is_ci_environment
import pandas.util._test_decorators as td
import pandas as pd
import pan... | 0 |
public_repos/pandas/pandas/tests/io | public_repos/pandas/pandas/tests/io/data/gbq_fake_job.txt | {'status': {'state': 'DONE'}, 'kind': 'bigquery#job', 'statistics': {'query': {'cacheHit': True, 'totalBytesProcessed': '0'}, 'endTime': '1377668744674', 'totalBytesProcessed': '0', 'startTime': '1377668744466'}, 'jobReference': {'projectId': '57288129629', 'jobId': 'bqjob_r5f956972f0190bdf_00000140c374bf42_2'}, 'etag'... | 0 |
public_repos/pandas/pandas/tests/io/data | public_repos/pandas/pandas/tests/io/data/html/wikipedia_states.html | <!DOCTYPE html>
<html lang="en" dir="ltr" class="client-nojs">
<head>
<meta charset="UTF-8" />
<title>List of U.S. states and territories by area - Wikipedia, the free encyclopedia</title>
<meta name="generator" content="MediaWiki 1.24wmf14" />
<link rel="alternate" href="android-app://org.wikipedia/http/en.m.wikipedia... | 0 |
public_repos/pandas/pandas/tests/io/data | public_repos/pandas/pandas/tests/io/data/html/valid_markup.html | <!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01//EN">
<html>
<head>
<meta name="generator" content=
"HTML Tidy for Linux (vers 25 March 2009), see www.w3.org">
<title></title>
</head>
<body>
<table border="1" class="dataframe">
<thead>
<tr style="text... | 0 |
public_repos/pandas/pandas/tests/io/data | public_repos/pandas/pandas/tests/io/data/html/banklist.html | <!DOCTYPE html><!-- HTML5 -->
<html lang="en-US">
<!-- Content language is American English. -->
<head>
<title>FDIC: Failed Bank List</title>
<!-- Meta Tags -->
<meta charset="UTF-8">
<!-- Unicode character encoding -->
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<!-- Turns off IE Compatibility Mode -->
<meta... | 0 |
public_repos/pandas/pandas/tests/io/data | public_repos/pandas/pandas/tests/io/data/html/spam.html |
<!DOCTYPE html>
<!--[if lt IE 7 ]> <html lang="en" class="no-js ie6"> <![endif]-->
<!--[if IE 7 ]> <html lang="en" class="no-js ie7"> <![endif]-->
<!--[if IE 8 ]> <html lang="en" class="no-js ie8"> <![endif]-->
<!--[if IE 9 ]> <html lang="en" class="no-js ie9"> <![endif]-->
<!--[if (gt IE 9)|!(IE)]><!--> <htm... | 0 |
public_repos/pandas/pandas/tests/io/data | public_repos/pandas/pandas/tests/io/data/stata/stata5.csv | byte_,int_,long_,float_,double_,date_td,string_,string_1
0,0,0,0,0,,"a","a"
1,1,1,1,1,,"ab","b"
-1,-1,-1,-1,-1,,"abc","c"
100,32740,-2147483647,-1.70100000027769e+38,-2.0000000000000e+307,1970-01-01,"abcdefghijklmnop","d"
-127,-32767,2147483620,1.70100000027769e+38,8.0000000000000e+307,1970-01-02,"abcdefghijklmnopqrstu... | 0 |
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