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public_repos/pandas/pandas/tests/series | public_repos/pandas/pandas/tests/series/methods/__init__.py | """
Test files dedicated to individual (stand-alone) Series methods
Ideally these files/tests should correspond 1-to-1 with tests.frame.methods
These may also present opportunities for sharing/de-duplicating test code.
"""
| 0 |
public_repos/pandas/pandas/tests/series | public_repos/pandas/pandas/tests/series/methods/test_round.py | import numpy as np
import pytest
import pandas as pd
from pandas import Series
import pandas._testing as tm
class TestSeriesRound:
def test_round(self, datetime_series):
datetime_series.index.name = "index_name"
result = datetime_series.round(2)
expected = Series(
np.round(dat... | 0 |
public_repos/pandas/pandas/tests/series | public_repos/pandas/pandas/tests/series/methods/test_nlargest.py | """
Note: for naming purposes, most tests are title with as e.g. "test_nlargest_foo"
but are implicitly also testing nsmallest_foo.
"""
from itertools import product
import numpy as np
import pytest
import pandas as pd
from pandas import Series
import pandas._testing as tm
main_dtypes = [
"datetime",
"dateti... | 0 |
public_repos/pandas/pandas/tests/series | public_repos/pandas/pandas/tests/series/indexing/test_set_value.py | from datetime import datetime
import numpy as np
from pandas import (
DatetimeIndex,
Series,
)
import pandas._testing as tm
def test_series_set_value():
# GH#1561
dates = [datetime(2001, 1, 1), datetime(2001, 1, 2)]
index = DatetimeIndex(dates)
s = Series(dtype=object)
s._set_value(dat... | 0 |
public_repos/pandas/pandas/tests/series | public_repos/pandas/pandas/tests/series/indexing/test_setitem.py | from datetime import (
date,
datetime,
)
import numpy as np
import pytest
from pandas.errors import IndexingError
from pandas.core.dtypes.common import is_list_like
from pandas import (
NA,
Categorical,
DataFrame,
DatetimeIndex,
Index,
Interval,
IntervalIndex,
MultiIndex,
... | 0 |
public_repos/pandas/pandas/tests/series | public_repos/pandas/pandas/tests/series/indexing/test_getitem.py | """
Series.__getitem__ test classes are organized by the type of key passed.
"""
from datetime import (
date,
datetime,
time,
)
import numpy as np
import pytest
from pandas._libs.tslibs import (
conversion,
timezones,
)
from pandas.core.dtypes.common import is_scalar
import pandas as pd
from pan... | 0 |
public_repos/pandas/pandas/tests/series | public_repos/pandas/pandas/tests/series/indexing/test_take.py | import pytest
import pandas as pd
from pandas import Series
import pandas._testing as tm
def test_take_validate_axis():
# GH#51022
ser = Series([-1, 5, 6, 2, 4])
msg = "No axis named foo for object type Series"
with pytest.raises(ValueError, match=msg):
ser.take([1, 2], axis="foo")
def tes... | 0 |
public_repos/pandas/pandas/tests/series | public_repos/pandas/pandas/tests/series/indexing/test_delitem.py | import pytest
from pandas import (
Index,
Series,
date_range,
)
import pandas._testing as tm
class TestSeriesDelItem:
def test_delitem(self):
# GH#5542
# should delete the item inplace
s = Series(range(5))
del s[0]
expected = Series(range(1, 5), index=range(1,... | 0 |
public_repos/pandas/pandas/tests/series | public_repos/pandas/pandas/tests/series/indexing/test_get.py | import numpy as np
import pytest
import pandas as pd
from pandas import (
Index,
Series,
)
import pandas._testing as tm
def test_get():
# GH 6383
s = Series(
np.array(
[
43,
48,
60,
48,
50,
... | 0 |
public_repos/pandas/pandas/tests/series | public_repos/pandas/pandas/tests/series/indexing/test_indexing.py | """ test get/set & misc """
from datetime import timedelta
import re
import numpy as np
import pytest
from pandas.errors import IndexingError
from pandas import (
NA,
DataFrame,
Index,
IndexSlice,
MultiIndex,
NaT,
Series,
Timedelta,
Timestamp,
concat,
date_range,
isna,... | 0 |
public_repos/pandas/pandas/tests/series | public_repos/pandas/pandas/tests/series/indexing/test_xs.py | import numpy as np
import pytest
from pandas import (
MultiIndex,
Series,
date_range,
)
import pandas._testing as tm
def test_xs_datetimelike_wrapping():
# GH#31630 a case where we shouldn't wrap datetime64 in Timestamp
arr = date_range("2016-01-01", periods=3)._data._ndarray
ser = Series(ar... | 0 |
public_repos/pandas/pandas/tests/series | public_repos/pandas/pandas/tests/series/indexing/test_mask.py | import numpy as np
import pytest
from pandas import Series
import pandas._testing as tm
def test_mask():
# compare with tested results in test_where
s = Series(np.random.default_rng(2).standard_normal(5))
cond = s > 0
rs = s.where(~cond, np.nan)
tm.assert_series_equal(rs, s.mask(cond))
rs =... | 0 |
public_repos/pandas/pandas/tests/series | public_repos/pandas/pandas/tests/series/indexing/test_datetime.py | """
Also test support for datetime64[ns] in Series / DataFrame
"""
from datetime import (
datetime,
timedelta,
)
import re
from dateutil.tz import (
gettz,
tzutc,
)
import numpy as np
import pytest
import pytz
from pandas._libs import index as libindex
import pandas as pd
from pandas import (
Dat... | 0 |
public_repos/pandas/pandas/tests/series | public_repos/pandas/pandas/tests/series/indexing/test_where.py | import numpy as np
import pytest
from pandas.core.dtypes.common import is_integer
import pandas as pd
from pandas import (
Series,
Timestamp,
date_range,
isna,
)
import pandas._testing as tm
def test_where_unsafe_int(any_signed_int_numpy_dtype):
s = Series(np.arange(10), dtype=any_signed_int_num... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/frame/test_reductions.py | from datetime import timedelta
from decimal import Decimal
import re
from dateutil.tz import tzlocal
import numpy as np
import pytest
from pandas.compat import (
IS64,
is_platform_windows,
)
from pandas.compat.numpy import np_version_gt2
import pandas.util._test_decorators as td
import pandas as pd
from pand... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/frame/test_validate.py | import pytest
from pandas.core.frame import DataFrame
@pytest.fixture
def dataframe():
return DataFrame({"a": [1, 2], "b": [3, 4]})
class TestDataFrameValidate:
"""Tests for error handling related to data types of method arguments."""
@pytest.mark.parametrize(
"func",
[
"qu... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/frame/test_logical_ops.py | import operator
import re
import numpy as np
import pytest
from pandas import (
CategoricalIndex,
DataFrame,
Interval,
Series,
isnull,
)
import pandas._testing as tm
class TestDataFrameLogicalOperators:
# &, |, ^
@pytest.mark.parametrize(
"left, right, op, expected",
[
... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/frame/test_repr.py | from datetime import (
datetime,
timedelta,
)
from io import StringIO
import numpy as np
import pytest
from pandas import (
NA,
Categorical,
CategoricalIndex,
DataFrame,
IntervalIndex,
MultiIndex,
NaT,
PeriodIndex,
Series,
Timestamp,
date_range,
option_context,
... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/frame/test_subclass.py | import numpy as np
import pytest
import pandas as pd
from pandas import (
DataFrame,
Index,
MultiIndex,
Series,
)
import pandas._testing as tm
pytestmark = pytest.mark.filterwarnings(
"ignore:Passing a BlockManager|Passing a SingleBlockManager:DeprecationWarning"
)
@pytest.fixture()
def gpd_styl... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/frame/test_npfuncs.py | """
Tests for np.foo applied to DataFrame, not necessarily ufuncs.
"""
import numpy as np
from pandas import (
Categorical,
DataFrame,
)
import pandas._testing as tm
class TestAsArray:
def test_asarray_homogeneous(self):
df = DataFrame({"A": Categorical([1, 2]), "B": Categorical([1, 2])})
... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/frame/test_block_internals.py | from datetime import (
datetime,
timedelta,
)
import itertools
import numpy as np
import pytest
from pandas.errors import PerformanceWarning
import pandas.util._test_decorators as td
import pandas as pd
from pandas import (
Categorical,
DataFrame,
Series,
Timestamp,
date_range,
option... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/frame/common.py | from __future__ import annotations
from typing import TYPE_CHECKING
from pandas import (
DataFrame,
concat,
)
if TYPE_CHECKING:
from pandas._typing import AxisInt
def _check_mixed_float(df, dtype=None):
# float16 are most likely to be upcasted to float32
dtypes = {"A": "float32", "B": "float32"... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/frame/conftest.py | import numpy as np
import pytest
from pandas import (
DataFrame,
NaT,
date_range,
)
import pandas._testing as tm
@pytest.fixture
def float_frame_with_na():
"""
Fixture for DataFrame of floats with index of unique strings
Columns are ['A', 'B', 'C', 'D']; some entries are missing
... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/frame/test_alter_axes.py | from datetime import datetime
import pytz
from pandas import DataFrame
import pandas._testing as tm
class TestDataFrameAlterAxes:
# Tests for setting index/columns attributes directly (i.e. __setattr__)
def test_set_axis_setattr_index(self):
# GH 6785
# set the index manually
df = ... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/frame/test_stack_unstack.py | from datetime import datetime
import itertools
import re
import numpy as np
import pytest
from pandas._libs import lib
from pandas.errors import PerformanceWarning
import pandas as pd
from pandas import (
DataFrame,
Index,
MultiIndex,
Period,
Series,
Timedelta,
date_range,
)
import pandas... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/frame/test_nonunique_indexes.py | import numpy as np
import pytest
import pandas as pd
from pandas import (
DataFrame,
Series,
date_range,
)
import pandas._testing as tm
class TestDataFrameNonuniqueIndexes:
def test_setattr_columns_vs_construct_with_columns(self):
# assignment
# GH 3687
arr = np.random.default... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/frame/test_arithmetic.py | from collections import deque
from datetime import (
datetime,
timezone,
)
from enum import Enum
import functools
import operator
import re
import numpy as np
import pytest
import pandas.util._test_decorators as td
import pandas as pd
from pandas import (
DataFrame,
Index,
MultiIndex,
Series,... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/frame/test_api.py | from copy import deepcopy
import inspect
import pydoc
import numpy as np
import pytest
from pandas._config.config import option_context
import pandas as pd
from pandas import (
DataFrame,
Series,
date_range,
timedelta_range,
)
import pandas._testing as tm
class TestDataFrameMisc:
def test_getit... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/frame/test_constructors.py | import array
from collections import (
OrderedDict,
abc,
defaultdict,
namedtuple,
)
from collections.abc import Iterator
from dataclasses import make_dataclass
from datetime import (
date,
datetime,
timedelta,
)
import functools
import re
import numpy as np
from numpy import ma
from numpy.m... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/frame/test_query_eval.py | import operator
import numpy as np
import pytest
from pandas.errors import (
NumExprClobberingError,
UndefinedVariableError,
)
import pandas.util._test_decorators as td
import pandas as pd
from pandas import (
DataFrame,
Index,
MultiIndex,
Series,
date_range,
)
import pandas._testing as t... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/frame/test_iteration.py | import datetime
import numpy as np
import pytest
from pandas.compat import (
IS64,
is_platform_windows,
)
from pandas import (
Categorical,
DataFrame,
Series,
date_range,
)
import pandas._testing as tm
class TestIteration:
def test_keys(self, float_frame):
assert float_frame.key... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/frame/test_ufunc.py | from functools import partial
import re
import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
from pandas.api.types import is_extension_array_dtype
dtypes = [
"int64",
"Int64",
{"A": "int64", "B": "Int64"},
]
@pytest.mark.parametrize("dtype", dtypes)
def test_unary_unary(dty... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/frame/test_unary.py | from decimal import Decimal
import numpy as np
import pytest
from pandas.compat.numpy import np_version_gte1p25
import pandas as pd
import pandas._testing as tm
class TestDataFrameUnaryOperators:
# __pos__, __neg__, __invert__
@pytest.mark.parametrize(
"df,expected",
[
(pd.Data... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/frame/test_cumulative.py | """
Tests for DataFrame cumulative operations
See also
--------
tests.series.test_cumulative
"""
import numpy as np
import pytest
from pandas import (
DataFrame,
Series,
)
import pandas._testing as tm
class TestDataFrameCumulativeOps:
# ------------------------------------------------------------------... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/constructors/test_from_records.py | from collections.abc import Iterator
from datetime import datetime
from decimal import Decimal
import numpy as np
import pytest
import pytz
from pandas.compat import is_platform_little_endian
from pandas import (
CategoricalIndex,
DataFrame,
Index,
Interval,
RangeIndex,
Series,
date_range... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/constructors/test_from_dict.py | from collections import OrderedDict
import numpy as np
import pytest
from pandas import (
DataFrame,
Index,
MultiIndex,
RangeIndex,
Series,
)
import pandas._testing as tm
class TestFromDict:
# Note: these tests are specific to the from_dict method, not for
# passing dictionaries to Data... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_swaplevel.py | import pytest
from pandas import DataFrame
import pandas._testing as tm
class TestSwaplevel:
def test_swaplevel(self, multiindex_dataframe_random_data):
frame = multiindex_dataframe_random_data
swapped = frame["A"].swaplevel()
swapped2 = frame["A"].swaplevel(0)
swapped3 = frame["... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_truncate.py | import numpy as np
import pytest
import pandas as pd
from pandas import (
DataFrame,
DatetimeIndex,
Index,
Series,
date_range,
)
import pandas._testing as tm
class TestDataFrameTruncate:
def test_truncate(self, datetime_frame, frame_or_series):
ts = datetime_frame[::3]
ts = tm... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_explode.py | import re
import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
def test_error():
df = pd.DataFrame(
{"A": pd.Series([[0, 1, 2], np.nan, [], (3, 4)], index=list("abcd")), "B": 1}
)
with pytest.raises(
ValueError, match="column must be a scalar, tuple, or list ... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_pipe.py | import pytest
from pandas import (
DataFrame,
Series,
)
import pandas._testing as tm
class TestPipe:
def test_pipe(self, frame_or_series):
obj = DataFrame({"A": [1, 2, 3]})
expected = DataFrame({"A": [1, 4, 9]})
if frame_or_series is Series:
obj = obj["A"]
... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_to_numpy.py | import numpy as np
import pandas.util._test_decorators as td
from pandas import (
DataFrame,
Timestamp,
)
import pandas._testing as tm
class TestToNumpy:
def test_to_numpy(self):
df = DataFrame({"A": [1, 2], "B": [3, 4.5]})
expected = np.array([[1, 3], [2, 4.5]])
result = df.to_n... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_sort_values.py | import numpy as np
import pytest
import pandas as pd
from pandas import (
Categorical,
DataFrame,
NaT,
Timestamp,
date_range,
)
import pandas._testing as tm
from pandas.util.version import Version
class TestDataFrameSortValues:
@pytest.mark.parametrize("dtype", [np.uint8, bool])
def test_... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_reorder_levels.py | import numpy as np
import pytest
from pandas import (
DataFrame,
MultiIndex,
)
import pandas._testing as tm
class TestReorderLevels:
def test_reorder_levels(self, frame_or_series):
index = MultiIndex(
levels=[["bar"], ["one", "two", "three"], [0, 1]],
codes=[[0, 0, 0, 0, 0... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_between_time.py | from datetime import (
datetime,
time,
)
import numpy as np
import pytest
from pandas._libs.tslibs import timezones
import pandas.util._test_decorators as td
from pandas import (
DataFrame,
Series,
date_range,
)
import pandas._testing as tm
class TestBetweenTime:
@td.skip_if_not_us_locale
... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_dropna.py | import datetime
import dateutil
import numpy as np
import pytest
import pandas as pd
from pandas import (
DataFrame,
Series,
)
import pandas._testing as tm
class TestDataFrameMissingData:
def test_dropEmptyRows(self, float_frame):
N = len(float_frame.index)
mat = np.random.default_rng(2)... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_is_homogeneous_dtype.py | import numpy as np
import pytest
import pandas.util._test_decorators as td
from pandas import (
Categorical,
DataFrame,
)
# _is_homogeneous_type always returns True for ArrayManager
pytestmark = td.skip_array_manager_invalid_test
@pytest.mark.parametrize(
"data, expected",
[
# empty
... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_set_axis.py | import numpy as np
import pytest
from pandas import (
DataFrame,
Series,
)
import pandas._testing as tm
class SharedSetAxisTests:
@pytest.fixture
def obj(self):
raise NotImplementedError("Implemented by subclasses")
def test_set_axis(self, obj):
# GH14636; this tests setting inde... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_astype.py | import re
import numpy as np
import pytest
import pandas.util._test_decorators as td
import pandas as pd
from pandas import (
Categorical,
CategoricalDtype,
DataFrame,
DatetimeTZDtype,
Index,
Interval,
IntervalDtype,
NaT,
Series,
Timedelta,
Timestamp,
concat,
date_... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_isin.py | import numpy as np
import pytest
import pandas as pd
from pandas import (
DataFrame,
MultiIndex,
Series,
)
import pandas._testing as tm
class TestDataFrameIsIn:
def test_isin(self):
# GH#4211
df = DataFrame(
{
"vals": [1, 2, 3, 4],
"ids": ["... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_describe.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 TestDataFrameDescribe:
def test_describe_bool_in_mixed_frame(self):
df = DataFrame(
{
"stri... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_quantile.py | import numpy as np
import pytest
import pandas as pd
from pandas import (
DataFrame,
Index,
Series,
Timestamp,
)
import pandas._testing as tm
@pytest.fixture(
params=[["linear", "single"], ["nearest", "table"]], ids=lambda x: "-".join(x)
)
def interp_method(request):
"""(interpolation, method... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_get_numeric_data.py | import numpy as np
import pandas as pd
from pandas import (
Categorical,
DataFrame,
Index,
Series,
Timestamp,
)
import pandas._testing as tm
from pandas.core.arrays import IntervalArray
class TestGetNumericData:
def test_get_numeric_data_preserve_dtype(self):
# get the numeric data
... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_head_tail.py | import numpy as np
from pandas import DataFrame
import pandas._testing as tm
def test_head_tail_generic(index, frame_or_series):
# GH#5370
ndim = 2 if frame_or_series is DataFrame else 1
shape = (len(index),) * ndim
vals = np.random.default_rng(2).standard_normal(shape)
obj = frame_or_series(val... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_pct_change.py | import numpy as np
import pytest
from pandas import (
DataFrame,
Series,
)
import pandas._testing as tm
class TestDataFramePctChange:
@pytest.mark.parametrize(
"periods, fill_method, limit, exp",
[
(1, "ffill", None, [np.nan, np.nan, np.nan, 1, 1, 1.5, 0, 0]),
(1, ... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_dtypes.py | from datetime import timedelta
import numpy as np
import pytest
from pandas.core.dtypes.dtypes import DatetimeTZDtype
import pandas as pd
from pandas import (
DataFrame,
Series,
date_range,
option_context,
)
import pandas._testing as tm
class TestDataFrameDataTypes:
def test_empty_frame_dtypes(... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_diff.py | import numpy as np
import pytest
import pandas as pd
from pandas import (
DataFrame,
Series,
Timestamp,
date_range,
)
import pandas._testing as tm
class TestDataFrameDiff:
def test_diff_requires_integer(self):
df = DataFrame(np.random.default_rng(2).standard_normal((2, 2)))
with p... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_reindex_like.py | import numpy as np
import pytest
from pandas import DataFrame
import pandas._testing as tm
class TestDataFrameReindexLike:
def test_reindex_like(self, float_frame):
other = float_frame.reindex(index=float_frame.index[:10], columns=["C", "B"])
tm.assert_frame_equal(other, float_frame.reindex_like... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_droplevel.py | import pytest
from pandas import (
DataFrame,
Index,
MultiIndex,
)
import pandas._testing as tm
class TestDropLevel:
def test_droplevel(self, frame_or_series):
# GH#20342
cols = MultiIndex.from_tuples(
[("c", "e"), ("d", "f")], names=["level_1", "level_2"]
)
... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_compare.py | import numpy as np
import pytest
from pandas.compat.numpy import np_version_gte1p25
import pandas as pd
import pandas._testing as tm
@pytest.mark.parametrize("align_axis", [0, 1, "index", "columns"])
def test_compare_axis(align_axis):
# GH#30429
df = pd.DataFrame(
{"col1": ["a", "b", "c"], "col2": [... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_reindex.py | from datetime import (
datetime,
timedelta,
)
import inspect
import numpy as np
import pytest
from pandas._libs.tslibs.timezones import dateutil_gettz as gettz
from pandas.compat import (
IS64,
is_platform_windows,
)
from pandas.compat.numpy import np_version_gt2
import pandas.util._test_decorators as... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_equals.py | import numpy as np
from pandas import (
DataFrame,
date_range,
)
import pandas._testing as tm
class TestEquals:
def test_dataframe_not_equal(self):
# see GH#28839
df1 = DataFrame({"a": [1, 2], "b": ["s", "d"]})
df2 = DataFrame({"a": ["s", "d"], "b": [1, 2]})
assert df1.equ... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_drop.py | import re
import numpy as np
import pytest
from pandas.errors import PerformanceWarning
import pandas as pd
from pandas import (
DataFrame,
DatetimeIndex,
Index,
MultiIndex,
Series,
Timestamp,
)
import pandas._testing as tm
@pytest.mark.parametrize(
"msg,labels,level",
[
(r"... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_rank.py | from datetime import (
datetime,
timedelta,
)
import numpy as np
import pytest
from pandas._libs.algos import (
Infinity,
NegInfinity,
)
from pandas import (
DataFrame,
Series,
)
import pandas._testing as tm
class TestRank:
s = Series([1, 3, 4, 2, np.nan, 2, 1, 5, np.nan, 3])
df = D... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_to_dict_of_blocks.py | import numpy as np
import pytest
import pandas.util._test_decorators as td
from pandas import (
DataFrame,
MultiIndex,
)
import pandas._testing as tm
from pandas.core.arrays import NumpyExtensionArray
pytestmark = td.skip_array_manager_invalid_test
class TestToDictOfBlocks:
def test_copy_blocks(self, f... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_isetitem.py | import pytest
from pandas import (
DataFrame,
Series,
)
import pandas._testing as tm
class TestDataFrameSetItem:
def test_isetitem_ea_df(self):
# GH#49922
df = DataFrame([[1, 2, 3], [4, 5, 6]])
rhs = DataFrame([[11, 12], [13, 14]], dtype="Int64")
df.isetitem([0, 1], rhs)
... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_rename.py | from collections import ChainMap
import inspect
import numpy as np
import pytest
from pandas import (
DataFrame,
Index,
MultiIndex,
merge,
)
import pandas._testing as tm
class TestRename:
def test_rename_signature(self):
sig = inspect.signature(DataFrame.rename)
parameters = set(... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_dot.py | import numpy as np
import pytest
from pandas import (
DataFrame,
Series,
)
import pandas._testing as tm
class DotSharedTests:
@pytest.fixture
def obj(self):
raise NotImplementedError
@pytest.fixture
def other(self) -> DataFrame:
"""
other is a DataFrame that is indexe... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_info.py | from io import StringIO
import re
from string import ascii_uppercase
import sys
import textwrap
import numpy as np
import pytest
from pandas.compat import (
IS64,
PYPY,
)
from pandas import (
CategoricalIndex,
DataFrame,
MultiIndex,
Series,
date_range,
option_context,
)
import pandas.... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_sort_index.py | import numpy as np
import pytest
import pandas as pd
from pandas import (
CategoricalDtype,
CategoricalIndex,
DataFrame,
IntervalIndex,
MultiIndex,
RangeIndex,
Series,
Timestamp,
)
import pandas._testing as tm
class TestDataFrameSortIndex:
def test_sort_index_and_reconstruction_do... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_size.py | import numpy as np
import pytest
from pandas import DataFrame
@pytest.mark.parametrize(
"data, index, expected",
[
({"col1": [1], "col2": [3]}, None, 2),
({}, None, 0),
({"col1": [1, np.nan], "col2": [3, 4]}, None, 4),
({"col1": [1, 2], "col2": [3, 4]}, [["a", "b"], [1, 2]], 4... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_filter.py | import numpy as np
import pytest
import pandas as pd
from pandas import DataFrame
import pandas._testing as tm
class TestDataFrameFilter:
def test_filter(self, float_frame, float_string_frame):
# Items
filtered = float_frame.filter(["A", "B", "E"])
assert len(filtered.columns) == 2
... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_duplicated.py | import re
import sys
import numpy as np
import pytest
from pandas import (
DataFrame,
Series,
date_range,
)
import pandas._testing as tm
@pytest.mark.parametrize("subset", ["a", ["a"], ["a", "B"]])
def test_duplicated_with_misspelled_column_name(subset):
# GH 19730
df = DataFrame({"A": [0, 0, 1]... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_to_csv.py | import csv
from io import StringIO
import os
import numpy as np
import pytest
from pandas.errors import ParserError
import pandas as pd
from pandas import (
DataFrame,
Index,
MultiIndex,
NaT,
Series,
Timestamp,
date_range,
read_csv,
to_datetime,
)
import pandas._testing as tm
impo... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_value_counts.py | import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
def test_data_frame_value_counts_unsorted():
df = pd.DataFrame(
{"num_legs": [2, 4, 4, 6], "num_wings": [2, 0, 0, 0]},
index=["falcon", "dog", "cat", "ant"],
)
result = df.value_counts(sort=False)
expec... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_to_period.py | import numpy as np
import pytest
from pandas import (
DataFrame,
DatetimeIndex,
PeriodIndex,
Series,
date_range,
period_range,
)
import pandas._testing as tm
class TestToPeriod:
def test_to_period(self, frame_or_series):
K = 5
dr = date_range("1/1/2000", "1/1/2001", freq=... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_values.py | import numpy as np
import pytest
import pandas.util._test_decorators as td
from pandas import (
DataFrame,
NaT,
Series,
Timestamp,
date_range,
period_range,
)
import pandas._testing as tm
class TestDataFrameValues:
@td.skip_array_manager_invalid_test
def test_values(self, float_frame... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_align.py | from datetime import timezone
import numpy as np
import pytest
import pandas as pd
from pandas import (
DataFrame,
Index,
Series,
date_range,
)
import pandas._testing as tm
class TestDataFrameAlign:
def test_align_asfreq_method_raises(self):
df = DataFrame({"A": [1, np.nan, 2]})
... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_infer_objects.py | from datetime import datetime
from pandas import DataFrame
import pandas._testing as tm
class TestInferObjects:
def test_infer_objects(self):
# GH#11221
df = DataFrame(
{
"a": ["a", 1, 2, 3],
"b": ["b", 2.0, 3.0, 4.1],
"c": [
... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_fillna.py | import numpy as np
import pytest
import pandas.util._test_decorators as td
from pandas import (
Categorical,
DataFrame,
DatetimeIndex,
NaT,
PeriodIndex,
Series,
TimedeltaIndex,
Timestamp,
date_range,
to_datetime,
)
import pandas._testing as tm
from pandas.tests.frame.common imp... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_combine.py | import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
class TestCombine:
@pytest.mark.parametrize(
"data",
[
pd.date_range("2000", periods=4),
pd.date_range("2000", periods=4, tz="US/Central"),
pd.period_range("2000", periods=4),
... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_reset_index.py | from datetime import datetime
from itertools import product
import numpy as np
import pytest
from pandas.core.dtypes.common import (
is_float_dtype,
is_integer_dtype,
)
import pandas as pd
from pandas import (
Categorical,
CategoricalIndex,
DataFrame,
Index,
Interval,
IntervalIndex,
... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_interpolate.py | import numpy as np
import pytest
from pandas.errors import ChainedAssignmentError
import pandas.util._test_decorators as td
from pandas import (
DataFrame,
NaT,
Series,
date_range,
)
import pandas._testing as tm
class TestDataFrameInterpolate:
def test_interpolate_complex(self):
# GH#536... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_rename_axis.py | import numpy as np
import pytest
from pandas import (
DataFrame,
Index,
MultiIndex,
)
import pandas._testing as tm
class TestDataFrameRenameAxis:
def test_rename_axis_inplace(self, float_frame):
# GH#15704
expected = float_frame.rename_axis("foo")
result = float_frame.copy()
... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_clip.py | import numpy as np
import pytest
from pandas import (
DataFrame,
Series,
)
import pandas._testing as tm
class TestDataFrameClip:
def test_clip(self, float_frame):
median = float_frame.median().median()
original = float_frame.copy()
double = float_frame.clip(upper=median, lower=me... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_to_records.py | from collections import abc
import email
from email.parser import Parser
import numpy as np
import pytest
from pandas import (
CategoricalDtype,
DataFrame,
MultiIndex,
Series,
Timestamp,
date_range,
)
import pandas._testing as tm
class TestDataFrameToRecords:
def test_to_records_timeseri... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_asof.py | import numpy as np
import pytest
from pandas._libs.tslibs import IncompatibleFrequency
from pandas import (
DataFrame,
Period,
Series,
Timestamp,
date_range,
period_range,
to_datetime,
)
import pandas._testing as tm
@pytest.fixture
def date_range_frame():
"""
Fixture for DataFram... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_assign.py | import pytest
from pandas import DataFrame
import pandas._testing as tm
class TestAssign:
def test_assign(self):
df = DataFrame({"A": [1, 2, 3], "B": [4, 5, 6]})
original = df.copy()
result = df.assign(C=df.B / df.A)
expected = df.copy()
expected["C"] = [4, 2.5, 2]
... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_map.py | from datetime import datetime
import numpy as np
import pytest
import pandas as pd
from pandas import (
DataFrame,
Series,
Timestamp,
date_range,
)
import pandas._testing as tm
from pandas.tseries.offsets import BDay
def test_map(float_frame):
result = float_frame.map(lambda x: x * 2)
tm.as... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_combine_first.py | from datetime import datetime
import numpy as np
import pytest
from pandas.core.dtypes.cast import find_common_type
from pandas.core.dtypes.common import is_dtype_equal
import pandas as pd
from pandas import (
DataFrame,
Index,
MultiIndex,
Series,
)
import pandas._testing as tm
class TestDataFrameC... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_shift.py | import numpy as np
import pytest
import pandas.util._test_decorators as td
import pandas as pd
from pandas import (
CategoricalIndex,
DataFrame,
Index,
NaT,
Series,
date_range,
offsets,
)
import pandas._testing as tm
class TestDataFrameShift:
def test_shift_axis1_with_valid_fill_valu... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_drop_duplicates.py | from datetime import datetime
import re
import numpy as np
import pytest
from pandas import (
DataFrame,
NaT,
concat,
)
import pandas._testing as tm
@pytest.mark.parametrize("subset", ["a", ["a"], ["a", "B"]])
def test_drop_duplicates_with_misspelled_column_name(subset):
# GH 19730
df = DataFram... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_replace.py | from __future__ import annotations
from datetime import datetime
import re
import numpy as np
import pytest
import pandas as pd
from pandas import (
DataFrame,
Index,
Series,
Timestamp,
date_range,
)
import pandas._testing as tm
@pytest.fixture
def mix_ab() -> dict[str, list[int | str]]:
re... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_transpose.py | import numpy as np
import pytest
import pandas.util._test_decorators as td
from pandas import (
DataFrame,
DatetimeIndex,
IntervalIndex,
Series,
Timestamp,
date_range,
timedelta_range,
)
import pandas._testing as tm
class TestTranspose:
def test_transpose_td64_intervals(self):
... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_tz_localize.py | from datetime import timezone
import numpy as np
import pytest
from pandas import (
DataFrame,
Series,
date_range,
)
import pandas._testing as tm
class TestTZLocalize:
# See also:
# test_tz_convert_and_localize in test_tz_convert
def test_tz_localize(self, frame_or_series):
rng = da... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_pop.py | import numpy as np
from pandas import (
DataFrame,
MultiIndex,
Series,
)
import pandas._testing as tm
class TestDataFramePop:
def test_pop(self, float_frame, warn_copy_on_write):
float_frame.columns.name = "baz"
float_frame.pop("A")
assert "A" not in float_frame
floa... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_cov_corr.py | import numpy as np
import pytest
import pandas.util._test_decorators as td
import pandas as pd
from pandas import (
DataFrame,
Series,
isna,
)
import pandas._testing as tm
class TestDataFrameCov:
def test_cov(self, float_frame, float_string_frame):
# min_periods no NAs (corner case)
... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_count.py | from pandas import (
DataFrame,
Series,
)
import pandas._testing as tm
class TestDataFrameCount:
def test_count(self):
# corner case
frame = DataFrame()
ct1 = frame.count(1)
assert isinstance(ct1, Series)
ct2 = frame.count(0)
assert isinstance(ct2, Series)
... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_select_dtypes.py | import numpy as np
import pytest
from pandas.core.dtypes.dtypes import ExtensionDtype
import pandas as pd
from pandas import (
DataFrame,
Timestamp,
)
import pandas._testing as tm
from pandas.core.arrays import ExtensionArray
class DummyDtype(ExtensionDtype):
type = int
def __init__(self, numeric) ... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_convert_dtypes.py | import datetime
import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
class TestConvertDtypes:
@pytest.mark.parametrize(
"convert_integer, expected", [(False, np.dtype("int32")), (True, "Int32")]
)
def test_convert_dtypes(self, convert_integer, expected, string_storag... | 0 |
public_repos/pandas/pandas/tests/frame | public_repos/pandas/pandas/tests/frame/methods/test_asfreq.py | from datetime import datetime
import numpy as np
import pytest
from pandas._libs.tslibs.offsets import MonthEnd
from pandas import (
DataFrame,
DatetimeIndex,
Series,
date_range,
period_range,
to_datetime,
)
import pandas._testing as tm
from pandas.tseries import offsets
class TestAsFreq:
... | 0 |
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