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public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/categorical/test_operators.py | import numpy as np
import pytest
import pandas as pd
from pandas import (
Categorical,
DataFrame,
Series,
Timestamp,
date_range,
)
import pandas._testing as tm
class TestCategoricalOpsWithFactor:
def test_categories_none_comparisons(self):
factor = Categorical(["a", "b", "b", "a", "a"... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/categorical/test_astype.py | import numpy as np
import pytest
from pandas import (
Categorical,
CategoricalDtype,
CategoricalIndex,
DatetimeIndex,
Interval,
NaT,
Period,
Timestamp,
array,
to_datetime,
)
import pandas._testing as tm
class TestAstype:
@pytest.mark.parametrize("cls", [Categorical, Catego... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/categorical/test_dtypes.py | import numpy as np
import pytest
from pandas.core.dtypes.dtypes import CategoricalDtype
from pandas import (
Categorical,
CategoricalIndex,
Index,
IntervalIndex,
Series,
Timestamp,
)
import pandas._testing as tm
class TestCategoricalDtypes:
def test_categories_match_up_to_permutation(sel... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/categorical/test_analytics.py | import re
import sys
import numpy as np
import pytest
from pandas.compat import PYPY
from pandas import (
Categorical,
CategoricalDtype,
DataFrame,
Index,
NaT,
Series,
date_range,
)
import pandas._testing as tm
from pandas.api.types import is_scalar
class TestCategoricalAnalytics:
@... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/categorical/test_missing.py | import collections
import numpy as np
import pytest
from pandas.core.dtypes.dtypes import CategoricalDtype
import pandas as pd
from pandas import (
Categorical,
DataFrame,
Index,
Series,
isna,
)
import pandas._testing as tm
class TestCategoricalMissing:
def test_isna(self):
exp = np... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/categorical/test_take.py | import numpy as np
import pytest
from pandas import Categorical
import pandas._testing as tm
class TestTake:
# https://github.com/pandas-dev/pandas/issues/20664
def test_take_default_allow_fill(self):
cat = Categorical(["a", "b"])
with tm.assert_produces_warning(None):
result = c... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/categorical/conftest.py | import pytest
from pandas import Categorical
@pytest.fixture(params=[True, False])
def allow_fill(request):
"""Boolean 'allow_fill' parameter for Categorical.take"""
return request.param
@pytest.fixture
def factor():
"""Fixture returning a Categorical object"""
return Categorical(["a", "b", "b", "... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/categorical/test_indexing.py | import math
import numpy as np
import pytest
from pandas import (
NA,
Categorical,
CategoricalIndex,
Index,
Interval,
IntervalIndex,
NaT,
PeriodIndex,
Series,
Timedelta,
Timestamp,
)
import pandas._testing as tm
import pandas.core.common as com
class TestCategoricalIndexi... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/categorical/test_map.py | import numpy as np
import pytest
import pandas as pd
from pandas import (
Categorical,
Index,
Series,
)
import pandas._testing as tm
@pytest.fixture(params=[None, "ignore"])
def na_action(request):
return request.param
@pytest.mark.parametrize(
"data, categories",
[
(list("abcbca"),... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/categorical/test_api.py | import re
import numpy as np
import pytest
from pandas.compat import PY311
from pandas import (
Categorical,
CategoricalIndex,
DataFrame,
Index,
Series,
StringDtype,
)
import pandas._testing as tm
from pandas.core.arrays.categorical import recode_for_categories
class TestCategoricalAPI:
... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/categorical/test_replace.py | import pytest
import pandas as pd
from pandas import Categorical
import pandas._testing as tm
@pytest.mark.parametrize(
"to_replace,value,expected,flip_categories",
[
# one-to-one
(1, 2, [2, 2, 3], False),
(1, 4, [4, 2, 3], False),
(4, 1, [1, 2, 3], False),
(5, 6, [1, ... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/categorical/test_constructors.py | from datetime import (
date,
datetime,
)
import numpy as np
import pytest
from pandas.core.dtypes.common import (
is_float_dtype,
is_integer_dtype,
)
from pandas.core.dtypes.dtypes import CategoricalDtype
import pandas as pd
from pandas import (
Categorical,
CategoricalIndex,
DatetimeInde... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/categorical/test_algos.py | import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
@pytest.mark.parametrize("ordered", [True, False])
@pytest.mark.parametrize("categories", [["b", "a", "c"], ["a", "b", "c", "d"]])
def test_factorize(categories, ordered):
cat = pd.Categorical(
["b", "b", "a", "c", None], c... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/categorical/test_warnings.py | import pytest
import pandas._testing as tm
class TestCategoricalWarnings:
def test_tab_complete_warning(self, ip):
# https://github.com/pandas-dev/pandas/issues/16409
pytest.importorskip("IPython", minversion="6.0.0")
from IPython.core.completer import provisionalcompleter
code =... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/datetimes/test_reductions.py | import numpy as np
import pytest
from pandas.core.dtypes.dtypes import DatetimeTZDtype
import pandas as pd
from pandas import NaT
import pandas._testing as tm
from pandas.core.arrays import DatetimeArray
class TestReductions:
@pytest.fixture(params=["s", "ms", "us", "ns"])
def unit(self, request):
r... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/datetimes/test_constructors.py | import numpy as np
import pytest
from pandas._libs import iNaT
from pandas.core.dtypes.dtypes import DatetimeTZDtype
import pandas as pd
import pandas._testing as tm
from pandas.core.arrays import DatetimeArray
class TestDatetimeArrayConstructor:
def test_from_sequence_invalid_type(self):
mi = pd.Multi... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/datetimes/test_cumulative.py | import pytest
import pandas._testing as tm
from pandas.core.arrays import DatetimeArray
class TestAccumulator:
def test_accumulators_freq(self):
# GH#50297
arr = DatetimeArray._from_sequence(
[
"2000-01-01",
"2000-01-02",
"2000-01-03",
... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/timedeltas/test_reductions.py | import numpy as np
import pytest
import pandas as pd
from pandas import Timedelta
import pandas._testing as tm
from pandas.core import nanops
from pandas.core.arrays import TimedeltaArray
class TestReductions:
@pytest.mark.parametrize("name", ["std", "min", "max", "median", "mean"])
@pytest.mark.parametrize(... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/timedeltas/test_constructors.py | import numpy as np
import pytest
from pandas.core.arrays import TimedeltaArray
class TestTimedeltaArrayConstructor:
def test_only_1dim_accepted(self):
# GH#25282
arr = np.array([0, 1, 2, 3], dtype="m8[h]").astype("m8[ns]")
with pytest.raises(ValueError, match="Only 1-dimensional"):
... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/timedeltas/test_cumulative.py | import pytest
import pandas._testing as tm
from pandas.core.arrays import TimedeltaArray
class TestAccumulator:
def test_accumulators_disallowed(self):
# GH#50297
arr = TimedeltaArray._from_sequence(["1D", "2D"])
with pytest.raises(TypeError, match="cumprod not supported"):
ar... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/interval/test_overlaps.py | """Tests for Interval-Interval operations, such as overlaps, contains, etc."""
import numpy as np
import pytest
from pandas import (
Interval,
IntervalIndex,
Timedelta,
Timestamp,
)
import pandas._testing as tm
from pandas.core.arrays import IntervalArray
@pytest.fixture(params=[IntervalArray, Interv... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/interval/test_astype.py | import pytest
from pandas import (
Categorical,
CategoricalDtype,
Index,
IntervalIndex,
)
import pandas._testing as tm
class TestAstype:
@pytest.mark.parametrize("ordered", [True, False])
def test_astype_categorical_retains_ordered(self, ordered):
index = IntervalIndex.from_breaks(ran... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/interval/test_formats.py | from pandas.core.arrays import IntervalArray
def test_repr():
# GH#25022
arr = IntervalArray.from_tuples([(0, 1), (1, 2)])
result = repr(arr)
expected = (
"<IntervalArray>\n"
"[(0, 1], (1, 2]]\n"
"Length: 2, dtype: interval[int64, right]"
)
assert result == expected
| 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/interval/test_interval.py | import numpy as np
import pytest
import pandas as pd
from pandas import (
Index,
Interval,
IntervalIndex,
Timedelta,
Timestamp,
date_range,
timedelta_range,
)
import pandas._testing as tm
from pandas.core.arrays import IntervalArray
@pytest.fixture(
params=[
(Index([0, 2, 4]),... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/numpy_/test_numpy.py | """
Additional tests for NumpyExtensionArray that aren't covered by
the interface tests.
"""
import numpy as np
import pytest
from pandas.core.dtypes.dtypes import NumpyEADtype
import pandas as pd
import pandas._testing as tm
from pandas.arrays import NumpyExtensionArray
@pytest.fixture(
params=[
np.arr... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/numpy_/test_indexing.py | import numpy as np
from pandas.core.dtypes.common import is_scalar
import pandas as pd
import pandas._testing as tm
class TestSearchsorted:
def test_searchsorted_string(self, string_dtype):
arr = pd.array(["a", "b", "c"], dtype=string_dtype)
result = arr.searchsorted("a", side="left")
a... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/floating/test_function.py | import numpy as np
import pytest
from pandas.compat import IS64
import pandas as pd
import pandas._testing as tm
@pytest.mark.parametrize("ufunc", [np.abs, np.sign])
# np.sign emits a warning with nans, <https://github.com/numpy/numpy/issues/15127>
@pytest.mark.filterwarnings("ignore:invalid value encountered in si... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/floating/test_to_numpy.py | import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
from pandas.core.arrays import FloatingArray
@pytest.mark.parametrize("box", [True, False], ids=["series", "array"])
def test_to_numpy(box):
con = pd.Series if box else pd.array
# default (with or without missing values) -> ob... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/floating/test_repr.py | import numpy as np
import pytest
import pandas as pd
from pandas.core.arrays.floating import (
Float32Dtype,
Float64Dtype,
)
def test_dtypes(dtype):
# smoke tests on auto dtype construction
np.dtype(dtype.type).kind == "f"
assert dtype.name is not None
@pytest.mark.parametrize(
"dtype, exp... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/floating/test_comparison.py | import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
from pandas.core.arrays import FloatingArray
from pandas.tests.arrays.masked_shared import (
ComparisonOps,
NumericOps,
)
class TestComparisonOps(NumericOps, ComparisonOps):
@pytest.mark.parametrize("other", [True, False, p... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/floating/test_astype.py | import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
def test_astype():
# with missing values
arr = pd.array([0.1, 0.2, None], dtype="Float64")
with pytest.raises(ValueError, match="cannot convert NA to integer"):
arr.astype("int64")
with pytest.raises(ValueErro... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/floating/test_contains.py | import numpy as np
import pandas as pd
def test_contains_nan():
# GH#52840
arr = pd.array(range(5)) / 0
assert np.isnan(arr._data[0])
assert not arr.isna()[0]
assert np.nan in arr
| 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/floating/test_concat.py | import pytest
import pandas as pd
import pandas._testing as tm
@pytest.mark.parametrize(
"to_concat_dtypes, result_dtype",
[
(["Float64", "Float64"], "Float64"),
(["Float32", "Float64"], "Float64"),
(["Float32", "Float32"], "Float32"),
],
)
def test_concat_series(to_concat_dtypes,... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/floating/conftest.py | import numpy as np
import pytest
import pandas as pd
from pandas.core.arrays.floating import (
Float32Dtype,
Float64Dtype,
)
@pytest.fixture(params=[Float32Dtype, Float64Dtype])
def dtype(request):
"""Parametrized fixture returning a float 'dtype'"""
return request.param()
@pytest.fixture
def data(... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/floating/test_construction.py | import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
from pandas.core.arrays import FloatingArray
from pandas.core.arrays.floating import (
Float32Dtype,
Float64Dtype,
)
def test_uses_pandas_na():
a = pd.array([1, None], dtype=Float64Dtype())
assert a[1] is pd.NA
def te... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/floating/test_arithmetic.py | import operator
import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
from pandas.core.arrays import FloatingArray
# Basic test for the arithmetic array ops
# -----------------------------------------------------------------------------
@pytest.mark.parametrize(
"opname, exp",
[... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/string_/test_string.py | """
This module tests the functionality of StringArray and ArrowStringArray.
Tests for the str accessors are in pandas/tests/strings/test_string_array.py
"""
import numpy as np
import pytest
from pandas.compat.pyarrow import pa_version_under12p0
from pandas.core.dtypes.common import is_dtype_equal
import pandas as p... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/string_/test_string_arrow.py | import pickle
import re
import numpy as np
import pytest
import pandas.util._test_decorators as td
import pandas as pd
import pandas._testing as tm
from pandas.core.arrays.string_ import (
StringArray,
StringDtype,
)
from pandas.core.arrays.string_arrow import (
ArrowStringArray,
ArrowStringArrayNump... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/sparse/test_reductions.py | import numpy as np
import pytest
from pandas import (
NaT,
SparseDtype,
Timestamp,
isna,
)
from pandas.core.arrays.sparse import SparseArray
class TestReductions:
@pytest.mark.parametrize(
"data,pos,neg",
[
([True, True, True], True, False),
([1, 2, 1], 1, ... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/sparse/test_arithmetics.py | import operator
import numpy as np
import pytest
import pandas as pd
from pandas import SparseDtype
import pandas._testing as tm
from pandas.core.arrays.sparse import SparseArray
@pytest.fixture(params=["integer", "block"])
def kind(request):
"""kind kwarg to pass to SparseArray"""
return request.param
@p... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/sparse/test_libsparse.py | import operator
import numpy as np
import pytest
import pandas._libs.sparse as splib
import pandas.util._test_decorators as td
from pandas import Series
import pandas._testing as tm
from pandas.core.arrays.sparse import (
BlockIndex,
IntIndex,
make_sparse_index,
)
@pytest.fixture
def test_length():
... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/sparse/test_astype.py | import numpy as np
import pytest
from pandas._libs.sparse import IntIndex
from pandas import (
SparseDtype,
Timestamp,
)
import pandas._testing as tm
from pandas.core.arrays.sparse import SparseArray
class TestAstype:
def test_astype(self):
# float -> float
arr = SparseArray([None, None,... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/sparse/test_combine_concat.py | import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
from pandas.core.arrays.sparse import SparseArray
class TestSparseArrayConcat:
@pytest.mark.parametrize("kind", ["integer", "block"])
def test_basic(self, kind):
a = SparseArray([1, 0, 0, 2], kind=kind)
b = Spar... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/sparse/test_accessor.py | import string
import numpy as np
import pytest
import pandas as pd
from pandas import SparseDtype
import pandas._testing as tm
from pandas.core.arrays.sparse import SparseArray
class TestSeriesAccessor:
def test_to_dense(self):
ser = pd.Series([0, 1, 0, 10], dtype="Sparse[int64]")
result = ser.s... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/sparse/test_array.py | import re
import numpy as np
import pytest
from pandas._libs.sparse import IntIndex
import pandas as pd
from pandas import (
SparseDtype,
isna,
)
import pandas._testing as tm
from pandas.core.arrays.sparse import SparseArray
@pytest.fixture
def arr_data():
"""Fixture returning numpy array with valid an... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/sparse/test_indexing.py | import numpy as np
import pytest
import pandas as pd
from pandas import SparseDtype
import pandas._testing as tm
from pandas.core.arrays.sparse import SparseArray
@pytest.fixture
def arr_data():
return np.array([np.nan, np.nan, 1, 2, 3, np.nan, 4, 5, np.nan, 6])
@pytest.fixture
def arr(arr_data):
return Sp... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/sparse/test_dtype.py | import re
import warnings
import numpy as np
import pytest
import pandas as pd
from pandas import SparseDtype
@pytest.mark.parametrize(
"dtype, fill_value",
[
("int", 0),
("float", np.nan),
("bool", False),
("object", np.nan),
("datetime64[ns]", np.datetime64("NaT", "... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/sparse/test_constructors.py | import numpy as np
import pytest
from pandas._libs.sparse import IntIndex
import pandas as pd
from pandas import (
SparseDtype,
isna,
)
import pandas._testing as tm
from pandas.core.arrays.sparse import SparseArray
class TestConstructors:
def test_constructor_dtype(self):
arr = SparseArray([np.n... | 0 |
public_repos/pandas/pandas/tests/arrays | public_repos/pandas/pandas/tests/arrays/sparse/test_unary.py | import operator
import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
from pandas.core.arrays import SparseArray
@pytest.mark.filterwarnings("ignore:invalid value encountered in cast:RuntimeWarning")
@pytest.mark.parametrize("fill_value", [0, np.nan])
@pytest.mark.parametrize("op", [oper... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/extension/test_numpy.py | """
This file contains a minimal set of tests for compliance with the extension
array interface test suite, and should contain no other tests.
The test suite for the full functionality of the array is located in
`pandas/tests/arrays/`.
The tests in this file are inherited from the BaseExtensionTests, and only
minimal ... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/extension/test_sparse.py | """
This file contains a minimal set of tests for compliance with the extension
array interface test suite, and should contain no other tests.
The test suite for the full functionality of the array is located in
`pandas/tests/arrays/`.
The tests in this file are inherited from the BaseExtensionTests, and only
minimal ... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/extension/conftest.py | import operator
import pytest
from pandas._config.config import _get_option
from pandas import (
Series,
options,
)
@pytest.fixture
def dtype():
"""A fixture providing the ExtensionDtype to validate."""
raise NotImplementedError
@pytest.fixture
def data():
"""
Length-100 array for this ty... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/extension/test_period.py | """
This file contains a minimal set of tests for compliance with the extension
array interface test suite, and should contain no other tests.
The test suite for the full functionality of the array is located in
`pandas/tests/arrays/`.
The tests in this file are inherited from the BaseExtensionTests, and only
minimal ... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/extension/test_common.py | import numpy as np
import pytest
from pandas.core.dtypes import dtypes
from pandas.core.dtypes.common import is_extension_array_dtype
import pandas as pd
import pandas._testing as tm
from pandas.core.arrays import ExtensionArray
class DummyDtype(dtypes.ExtensionDtype):
pass
class DummyArray(ExtensionArray):
... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/extension/test_extension.py | """
Tests for behavior if an author does *not* implement EA methods.
"""
import numpy as np
import pytest
from pandas.core.arrays import ExtensionArray
class MyEA(ExtensionArray):
def __init__(self, values) -> None:
self._values = values
@pytest.fixture
def data():
arr = np.arange(10)
return My... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/extension/test_string.py | """
This file contains a minimal set of tests for compliance with the extension
array interface test suite, and should contain no other tests.
The test suite for the full functionality of the array is located in
`pandas/tests/arrays/`.
The tests in this file are inherited from the BaseExtensionTests, and only
minimal ... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/extension/test_arrow.py | """
This file contains a minimal set of tests for compliance with the extension
array interface test suite, and should contain no other tests.
The test suite for the full functionality of the array is located in
`pandas/tests/arrays/`.
The tests in this file are inherited from the BaseExtensionTests, and only
minimal t... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/extension/test_masked.py | """
This file contains a minimal set of tests for compliance with the extension
array interface test suite, and should contain no other tests.
The test suite for the full functionality of the array is located in
`pandas/tests/arrays/`.
The tests in this file are inherited from the BaseExtensionTests, and only
minimal ... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/extension/test_datetime.py | """
This file contains a minimal set of tests for compliance with the extension
array interface test suite, and should contain no other tests.
The test suite for the full functionality of the array is located in
`pandas/tests/arrays/`.
The tests in this file are inherited from the BaseExtensionTests, and only
minimal ... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/extension/test_categorical.py | """
This file contains a minimal set of tests for compliance with the extension
array interface test suite, and should contain no other tests.
The test suite for the full functionality of the array is located in
`pandas/tests/arrays/`.
The tests in this file are inherited from the BaseExtensionTests, and only
minimal ... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/extension/test_interval.py | """
This file contains a minimal set of tests for compliance with the extension
array interface test suite, and should contain no other tests.
The test suite for the full functionality of the array is located in
`pandas/tests/arrays/`.
The tests in this file are inherited from the BaseExtensionTests, and only
minimal ... | 0 |
public_repos/pandas/pandas/tests/extension | public_repos/pandas/pandas/tests/extension/base/dtype.py | import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
from pandas.api.types import (
infer_dtype,
is_object_dtype,
is_string_dtype,
)
class BaseDtypeTests:
"""Base class for ExtensionDtype classes"""
def test_name(self, dtype):
assert isinstance(dtype.name, st... | 0 |
public_repos/pandas/pandas/tests/extension | public_repos/pandas/pandas/tests/extension/base/constructors.py | import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
from pandas.api.extensions import ExtensionArray
from pandas.core.internals.blocks import EABackedBlock
class BaseConstructorsTests:
def test_from_sequence_from_cls(self, data):
result = type(data)._from_sequence(data, dtyp... | 0 |
public_repos/pandas/pandas/tests/extension | public_repos/pandas/pandas/tests/extension/base/ops.py | from __future__ import annotations
from typing import final
import numpy as np
import pytest
from pandas.core.dtypes.common import is_string_dtype
import pandas as pd
import pandas._testing as tm
from pandas.core import ops
class BaseOpsUtil:
series_scalar_exc: type[Exception] | None = TypeError
frame_sca... | 0 |
public_repos/pandas/pandas/tests/extension | public_repos/pandas/pandas/tests/extension/base/base.py | class BaseExtensionTests:
pass
| 0 |
public_repos/pandas/pandas/tests/extension | public_repos/pandas/pandas/tests/extension/base/getitem.py | import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
class BaseGetitemTests:
"""Tests for ExtensionArray.__getitem__."""
def test_iloc_series(self, data):
ser = pd.Series(data)
result = ser.iloc[:4]
expected = pd.Series(data[:4])
tm.assert_series_... | 0 |
public_repos/pandas/pandas/tests/extension | public_repos/pandas/pandas/tests/extension/base/casting.py | import numpy as np
import pytest
import pandas.util._test_decorators as td
import pandas as pd
import pandas._testing as tm
from pandas.core.internals.blocks import NumpyBlock
class BaseCastingTests:
"""Casting to and from ExtensionDtypes"""
def test_astype_object_series(self, all_data):
ser = pd.S... | 0 |
public_repos/pandas/pandas/tests/extension | public_repos/pandas/pandas/tests/extension/base/interface.py | import numpy as np
import pytest
from pandas.core.dtypes.common import is_extension_array_dtype
from pandas.core.dtypes.dtypes import ExtensionDtype
import pandas as pd
import pandas._testing as tm
class BaseInterfaceTests:
"""Tests that the basic interface is satisfied."""
# ------------------------------... | 0 |
public_repos/pandas/pandas/tests/extension | public_repos/pandas/pandas/tests/extension/base/groupby.py | import re
import pytest
from pandas.core.dtypes.common import (
is_bool_dtype,
is_numeric_dtype,
is_object_dtype,
is_string_dtype,
)
import pandas as pd
import pandas._testing as tm
@pytest.mark.filterwarnings(
"ignore:The default of observed=False is deprecated:FutureWarning"
)
class BaseGroup... | 0 |
public_repos/pandas/pandas/tests/extension | public_repos/pandas/pandas/tests/extension/base/index.py | """
Tests for Indexes backed by arbitrary ExtensionArrays.
"""
import pandas as pd
class BaseIndexTests:
"""Tests for Index object backed by an ExtensionArray"""
def test_index_from_array(self, data):
idx = pd.Index(data)
assert data.dtype == idx.dtype
def test_index_from_listlike_with_d... | 0 |
public_repos/pandas/pandas/tests/extension | public_repos/pandas/pandas/tests/extension/base/methods.py | import inspect
import operator
import numpy as np
import pytest
from pandas._typing import Dtype
from pandas.core.dtypes.common import is_bool_dtype
from pandas.core.dtypes.missing import na_value_for_dtype
import pandas as pd
import pandas._testing as tm
from pandas.core.sorting import nargsort
class BaseMethods... | 0 |
public_repos/pandas/pandas/tests/extension | public_repos/pandas/pandas/tests/extension/base/setitem.py | import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
class BaseSetitemTests:
@pytest.fixture(
params=[
lambda x: x.index,
lambda x: list(x.index),
lambda x: slice(None),
lambda x: slice(0, len(x)),
lambda x: range(le... | 0 |
public_repos/pandas/pandas/tests/extension | public_repos/pandas/pandas/tests/extension/base/printing.py | import io
import pytest
import pandas as pd
class BasePrintingTests:
"""Tests checking the formatting of your EA when printed."""
@pytest.mark.parametrize("size", ["big", "small"])
def test_array_repr(self, data, size):
if size == "small":
data = data[:5]
else:
d... | 0 |
public_repos/pandas/pandas/tests/extension | public_repos/pandas/pandas/tests/extension/base/reshaping.py | import itertools
import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
from pandas.api.extensions import ExtensionArray
from pandas.core.internals.blocks import EABackedBlock
class BaseReshapingTests:
"""Tests for reshaping and concatenation."""
@pytest.mark.parametrize("in_fram... | 0 |
public_repos/pandas/pandas/tests/extension | public_repos/pandas/pandas/tests/extension/base/reduce.py | from typing import final
import pytest
import pandas as pd
import pandas._testing as tm
from pandas.api.types import is_numeric_dtype
class BaseReduceTests:
"""
Reduction specific tests. Generally these only
make sense for numeric/boolean operations.
"""
def _supports_reduction(self, ser: pd.Se... | 0 |
public_repos/pandas/pandas/tests/extension | public_repos/pandas/pandas/tests/extension/base/dim2.py | """
Tests for 2D compatibility.
"""
import numpy as np
import pytest
from pandas._libs.missing import is_matching_na
from pandas.core.dtypes.common import (
is_bool_dtype,
is_integer_dtype,
)
import pandas as pd
import pandas._testing as tm
from pandas.core.arrays.integer import NUMPY_INT_TO_DTYPE
class Di... | 0 |
public_repos/pandas/pandas/tests/extension | public_repos/pandas/pandas/tests/extension/base/io.py | from io import StringIO
import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
class BaseParsingTests:
@pytest.mark.parametrize("engine", ["c", "python"])
def test_EA_types(self, engine, data):
df = pd.DataFrame({"with_dtype": pd.Series(data, dtype=str(data.dtype))})
... | 0 |
public_repos/pandas/pandas/tests/extension | public_repos/pandas/pandas/tests/extension/base/missing.py | import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
class BaseMissingTests:
def test_isna(self, data_missing):
expected = np.array([True, False])
result = pd.isna(data_missing)
tm.assert_numpy_array_equal(result, expected)
result = pd.Series(data_mi... | 0 |
public_repos/pandas/pandas/tests/extension | public_repos/pandas/pandas/tests/extension/base/__init__.py | """
Base test suite for extension arrays.
These tests are intended for third-party libraries to subclass to validate
that their extension arrays and dtypes satisfy the interface. Moving or
renaming the tests should not be done lightly.
Libraries are expected to implement a few pytest fixtures to provide data
for the ... | 0 |
public_repos/pandas/pandas/tests/extension | public_repos/pandas/pandas/tests/extension/base/accumulate.py | import pytest
import pandas as pd
import pandas._testing as tm
class BaseAccumulateTests:
"""
Accumulation specific tests. Generally these only
make sense for numeric/boolean operations.
"""
def _supports_accumulation(self, ser: pd.Series, op_name: str) -> bool:
# Do we expect this accum... | 0 |
public_repos/pandas/pandas/tests/extension | public_repos/pandas/pandas/tests/extension/list/test_list.py | import pytest
import pandas as pd
from pandas.tests.extension.list.array import (
ListArray,
ListDtype,
make_data,
)
@pytest.fixture
def dtype():
return ListDtype()
@pytest.fixture
def data():
"""Length-100 ListArray for semantics test."""
data = make_data()
while len(data[0]) == len(d... | 0 |
public_repos/pandas/pandas/tests/extension | public_repos/pandas/pandas/tests/extension/list/array.py | """
Test extension array for storing nested data in a pandas container.
The ListArray stores an ndarray of lists.
"""
from __future__ import annotations
import numbers
import string
from typing import TYPE_CHECKING
import numpy as np
from pandas.core.dtypes.base import ExtensionDtype
import pandas as pd
from panda... | 0 |
public_repos/pandas/pandas/tests/extension | public_repos/pandas/pandas/tests/extension/list/__init__.py | from pandas.tests.extension.list.array import (
ListArray,
ListDtype,
make_data,
)
__all__ = ["ListArray", "ListDtype", "make_data"]
| 0 |
public_repos/pandas/pandas/tests/extension | public_repos/pandas/pandas/tests/extension/date/array.py | from __future__ import annotations
import datetime as dt
from typing import (
TYPE_CHECKING,
Any,
cast,
)
import numpy as np
from pandas.core.dtypes.dtypes import register_extension_dtype
from pandas.api.extensions import (
ExtensionArray,
ExtensionDtype,
)
from pandas.api.types import pandas_dt... | 0 |
public_repos/pandas/pandas/tests/extension | public_repos/pandas/pandas/tests/extension/date/__init__.py | from pandas.tests.extension.date.array import (
DateArray,
DateDtype,
)
__all__ = ["DateArray", "DateDtype"]
| 0 |
public_repos/pandas/pandas/tests/extension | public_repos/pandas/pandas/tests/extension/json/array.py | """
Test extension array for storing nested data in a pandas container.
The JSONArray stores lists of dictionaries. The storage mechanism is a list,
not an ndarray.
Note
----
We currently store lists of UserDicts. Pandas has a few places
internally that specifically check for dicts, and does non-scalar things
in that... | 0 |
public_repos/pandas/pandas/tests/extension | public_repos/pandas/pandas/tests/extension/json/test_json.py | import collections
import operator
import sys
import pytest
import pandas as pd
import pandas._testing as tm
from pandas.tests.extension import base
from pandas.tests.extension.json.array import (
JSONArray,
JSONDtype,
make_data,
)
@pytest.fixture
def dtype():
return JSONDtype()
@pytest.fixture
de... | 0 |
public_repos/pandas/pandas/tests/extension | public_repos/pandas/pandas/tests/extension/json/__init__.py | from pandas.tests.extension.json.array import (
JSONArray,
JSONDtype,
make_data,
)
__all__ = ["JSONArray", "JSONDtype", "make_data"]
| 0 |
public_repos/pandas/pandas/tests/extension | public_repos/pandas/pandas/tests/extension/decimal/array.py | from __future__ import annotations
import decimal
import numbers
import sys
from typing import TYPE_CHECKING
import numpy as np
from pandas.core.dtypes.base import ExtensionDtype
from pandas.core.dtypes.common import (
is_dtype_equal,
is_float,
is_integer,
pandas_dtype,
)
import pandas as pd
from pa... | 0 |
public_repos/pandas/pandas/tests/extension | public_repos/pandas/pandas/tests/extension/decimal/test_decimal.py | from __future__ import annotations
import decimal
import operator
import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
from pandas.tests.extension import base
from pandas.tests.extension.decimal.array import (
DecimalArray,
DecimalDtype,
make_data,
to_decimal,
)
@pytest... | 0 |
public_repos/pandas/pandas/tests/extension | public_repos/pandas/pandas/tests/extension/decimal/__init__.py | from pandas.tests.extension.decimal.array import (
DecimalArray,
DecimalDtype,
make_data,
to_decimal,
)
__all__ = ["DecimalArray", "DecimalDtype", "to_decimal", "make_data"]
| 0 |
public_repos/pandas/pandas/tests/extension | public_repos/pandas/pandas/tests/extension/array_with_attr/array.py | """
Test extension array that has custom attribute information (not stored on the dtype).
"""
from __future__ import annotations
import numbers
from typing import TYPE_CHECKING
import numpy as np
from pandas.core.dtypes.base import ExtensionDtype
import pandas as pd
from pandas.core.arrays import ExtensionArray
i... | 0 |
public_repos/pandas/pandas/tests/extension | public_repos/pandas/pandas/tests/extension/array_with_attr/test_array_with_attr.py | import numpy as np
import pandas as pd
import pandas._testing as tm
from pandas.tests.extension.array_with_attr import FloatAttrArray
def test_concat_with_all_na():
# https://github.com/pandas-dev/pandas/pull/47762
# ensure that attribute of the column array is preserved (when it gets
# preserved in rein... | 0 |
public_repos/pandas/pandas/tests/extension | public_repos/pandas/pandas/tests/extension/array_with_attr/__init__.py | from pandas.tests.extension.array_with_attr.array import (
FloatAttrArray,
FloatAttrDtype,
)
__all__ = ["FloatAttrArray", "FloatAttrDtype"]
| 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/config/test_config.py | import pytest
from pandas._config import config as cf
from pandas._config.config import OptionError
import pandas as pd
import pandas._testing as tm
class TestConfig:
@pytest.fixture(autouse=True)
def clean_config(self, monkeypatch):
with monkeypatch.context() as m:
m.setattr(cf, "_globa... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/config/test_localization.py | import codecs
import locale
import os
import pytest
from pandas._config.localization import (
can_set_locale,
get_locales,
set_locale,
)
from pandas.compat import ISMUSL
import pandas as pd
_all_locales = get_locales()
_current_locale = locale.setlocale(locale.LC_ALL) # getlocale() is wrong, see GH#46... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/dtypes/test_dtypes.py | import re
import weakref
import numpy as np
import pytest
import pytz
from pandas._libs.tslibs.dtypes import NpyDatetimeUnit
from pandas.core.dtypes.base import _registry as registry
from pandas.core.dtypes.common import (
is_bool_dtype,
is_categorical_dtype,
is_datetime64_any_dtype,
is_datetime64_dt... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/dtypes/test_missing.py | from contextlib import nullcontext
from datetime import datetime
from decimal import Decimal
import numpy as np
import pytest
from pandas._config import config as cf
from pandas._libs import missing as libmissing
from pandas._libs.tslibs import iNaT
from pandas.compat.numpy import np_version_gte1p25
from pandas.cor... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/dtypes/test_generic.py | import re
import numpy as np
import pytest
from pandas.core.dtypes import generic as gt
import pandas as pd
import pandas._testing as tm
class TestABCClasses:
tuples = [[1, 2, 2], ["red", "blue", "red"]]
multi_index = pd.MultiIndex.from_arrays(tuples, names=("number", "color"))
datetime_index = pd.to_d... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/dtypes/test_concat.py | import pytest
import pandas.core.dtypes.concat as _concat
import pandas as pd
from pandas import Series
import pandas._testing as tm
def test_concat_mismatched_categoricals_with_empty():
# concat_compat behavior on series._values should match pd.concat on series
ser1 = Series(["a", "b", "c"], dtype="categor... | 0 |
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