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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/indexing | public_repos/pandas/pandas/tests/indexing/multiindex/test_sorted.py | import numpy as np
import pytest
from pandas import (
NA,
DataFrame,
MultiIndex,
Series,
array,
)
import pandas._testing as tm
class TestMultiIndexSorted:
def test_getitem_multilevel_index_tuple_not_sorted(self):
index_columns = list("abc")
df = DataFrame(
[[0, 1, ... | 0 |
public_repos/pandas/pandas/tests/indexing | public_repos/pandas/pandas/tests/indexing/multiindex/test_datetime.py | from datetime import datetime
import numpy as np
from pandas import (
DataFrame,
Index,
MultiIndex,
Period,
Series,
period_range,
to_datetime,
)
import pandas._testing as tm
def test_multiindex_period_datetime():
# GH4861, using datetime in period of multiindex raises exception
... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/reductions/test_reductions.py | from datetime import (
datetime,
timedelta,
)
from decimal import Decimal
import numpy as np
import pytest
import pandas as pd
from pandas import (
Categorical,
DataFrame,
DatetimeIndex,
Index,
NaT,
Period,
PeriodIndex,
RangeIndex,
Series,
Timedelta,
TimedeltaIndex,... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/reductions/test_stat_reductions.py | """
Tests for statistical reductions of 2nd moment or higher: var, skew, kurt, ...
"""
import inspect
import numpy as np
import pytest
import pandas as pd
from pandas import (
DataFrame,
Series,
)
import pandas._testing as tm
from pandas.core.arrays import (
DatetimeArray,
PeriodArray,
TimedeltaAr... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/reductions/__init__.py | """
Tests for reductions where we want to test for matching behavior across
Array, Index, Series, and DataFrame methods.
"""
| 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/arithmetic/test_array_ops.py | import operator
import numpy as np
import pytest
import pandas._testing as tm
from pandas.core.ops.array_ops import (
comparison_op,
na_logical_op,
)
def test_na_logical_op_2d():
left = np.arange(8).reshape(4, 2)
right = left.astype(object)
right[0, 0] = np.nan
# Check that we fall back to ... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/arithmetic/test_object.py | # Arithmetic tests for DataFrame/Series/Index/Array classes that should
# behave identically.
# Specifically for object dtype
import datetime
from decimal import Decimal
import operator
import numpy as np
import pytest
import pandas as pd
from pandas import (
Series,
Timestamp,
)
import pandas._testing as tm
... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/arithmetic/common.py | """
Assertion helpers for arithmetic tests.
"""
import numpy as np
import pytest
from pandas import (
DataFrame,
Index,
Series,
array,
)
import pandas._testing as tm
from pandas.core.arrays import (
BooleanArray,
NumpyExtensionArray,
)
def assert_cannot_add(left, right, msg="cannot add"):
... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/arithmetic/conftest.py | import numpy as np
import pytest
import pandas as pd
from pandas import (
Index,
RangeIndex,
)
import pandas._testing as tm
@pytest.fixture(params=[1, np.array(1, dtype=np.int64)])
def one(request):
"""
Several variants of integer value 1. The zero-dim integer array
behaves like an integer.
... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/arithmetic/test_period.py | # Arithmetic tests for DataFrame/Series/Index/Array classes that should
# behave identically.
# Specifically for Period dtype
import operator
import numpy as np
import pytest
from pandas._libs.tslibs import (
IncompatibleFrequency,
Period,
Timestamp,
to_offset,
)
from pandas.errors import PerformanceW... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/arithmetic/test_timedelta64.py | # Arithmetic tests for DataFrame/Series/Index/Array classes that should
# behave identically.
from datetime import (
datetime,
timedelta,
)
import numpy as np
import pytest
from pandas.errors import (
OutOfBoundsDatetime,
PerformanceWarning,
)
import pandas as pd
from pandas import (
DataFrame,
... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/arithmetic/test_datetime64.py | # Arithmetic tests for DataFrame/Series/Index/Array classes that should
# behave identically.
# Specifically for datetime64 and datetime64tz dtypes
from datetime import (
datetime,
time,
timedelta,
)
from itertools import (
product,
starmap,
)
import operator
import numpy as np
import pytest
import... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/arithmetic/test_categorical.py | import numpy as np
from pandas import (
Categorical,
Series,
)
import pandas._testing as tm
class TestCategoricalComparisons:
def test_categorical_nan_equality(self):
cat = Series(Categorical(["a", "b", "c", np.nan]))
expected = Series([True, True, True, False])
result = cat == ca... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/arithmetic/test_numeric.py | # Arithmetic tests for DataFrame/Series/Index/Array classes that should
# behave identically.
# Specifically for numeric dtypes
from __future__ import annotations
from collections import abc
from datetime import timedelta
from decimal import Decimal
import operator
import numpy as np
import pytest
import pandas as p... | 0 |
public_repos/pandas/pandas/tests | public_repos/pandas/pandas/tests/arithmetic/test_interval.py | import operator
import numpy as np
import pytest
from pandas.core.dtypes.common import is_list_like
import pandas as pd
from pandas import (
Categorical,
Index,
Interval,
IntervalIndex,
Period,
Series,
Timedelta,
Timestamp,
date_range,
period_range,
timedelta_range,
)
impo... | 0 |
public_repos/pandas/pandas | public_repos/pandas/pandas/util/_print_versions.py | from __future__ import annotations
import codecs
import json
import locale
import os
import platform
import struct
import sys
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from pandas._typing import JSONSerializable
from pandas.compat._optional import (
VERSIONS,
get_version,
import_optional_dep... | 0 |
public_repos/pandas/pandas | public_repos/pandas/pandas/util/_test_decorators.py | """
This module provides decorator functions which can be applied to test objects
in order to skip those objects when certain conditions occur. A sample use case
is to detect if the platform is missing ``matplotlib``. If so, any test objects
which require ``matplotlib`` and decorated with ``@td.skip_if_no("matplotlib")... | 0 |
public_repos/pandas/pandas | public_repos/pandas/pandas/util/_doctools.py | from __future__ import annotations
from typing import TYPE_CHECKING
import numpy as np
import pandas as pd
if TYPE_CHECKING:
from collections.abc import Iterable
class TablePlotter:
"""
Layout some DataFrames in vertical/horizontal layout for explanation.
Used in merging.rst
"""
def __ini... | 0 |
public_repos/pandas/pandas | public_repos/pandas/pandas/util/_decorators.py | from __future__ import annotations
from functools import wraps
import inspect
from textwrap import dedent
from typing import (
TYPE_CHECKING,
Any,
Callable,
cast,
)
import warnings
from pandas._libs.properties import cache_readonly
from pandas._typing import (
F,
T,
)
from pandas.util._excepti... | 0 |
public_repos/pandas/pandas | public_repos/pandas/pandas/util/_validators.py | """
Module that contains many useful utilities
for validating data or function arguments
"""
from __future__ import annotations
from collections.abc import (
Iterable,
Sequence,
)
from typing import (
TypeVar,
overload,
)
import numpy as np
from pandas._libs import lib
from pandas.core.dtypes.common... | 0 |
public_repos/pandas/pandas | public_repos/pandas/pandas/util/_tester.py | """
Entrypoint for testing from the top-level namespace.
"""
from __future__ import annotations
import os
import sys
from pandas.compat._optional import import_optional_dependency
PKG = os.path.dirname(os.path.dirname(__file__))
def test(extra_args: list[str] | None = None, run_doctests: bool = False) -> None:
... | 0 |
public_repos/pandas/pandas | public_repos/pandas/pandas/util/_exceptions.py | from __future__ import annotations
import contextlib
import inspect
import os
import re
from typing import TYPE_CHECKING
import warnings
if TYPE_CHECKING:
from collections.abc import Generator
@contextlib.contextmanager
def rewrite_exception(old_name: str, new_name: str) -> Generator[None, None, None]:
"""
... | 0 |
public_repos/pandas/pandas | public_repos/pandas/pandas/util/__init__.py | def __getattr__(key: str):
# These imports need to be lazy to avoid circular import errors
if key == "hash_array":
from pandas.core.util.hashing import hash_array
return hash_array
if key == "hash_pandas_object":
from pandas.core.util.hashing import hash_pandas_object
retur... | 0 |
public_repos/pandas/pandas/util | public_repos/pandas/pandas/util/version/__init__.py | # Vendored from https://github.com/pypa/packaging/blob/main/packaging/_structures.py
# and https://github.com/pypa/packaging/blob/main/packaging/_structures.py
# changeset ae891fd74d6dd4c6063bb04f2faeadaac6fc6313
# 04/30/2021
# This file is dual licensed under the terms of the Apache License, Version
# 2.0, and the BS... | 0 |
public_repos/pandas/pandas | public_repos/pandas/pandas/api/__init__.py | """ public toolkit API """
from pandas.api import (
extensions,
indexers,
interchange,
types,
typing,
)
__all__ = [
"interchange",
"extensions",
"indexers",
"types",
"typing",
]
| 0 |
public_repos/pandas/pandas/api | public_repos/pandas/pandas/api/indexers/__init__.py | """
Public API for Rolling Window Indexers.
"""
from pandas.core.indexers import check_array_indexer
from pandas.core.indexers.objects import (
BaseIndexer,
FixedForwardWindowIndexer,
VariableOffsetWindowIndexer,
)
__all__ = [
"check_array_indexer",
"BaseIndexer",
"FixedForwardWindowIndexer",
... | 0 |
public_repos/pandas/pandas/api | public_repos/pandas/pandas/api/interchange/__init__.py | """
Public API for DataFrame interchange protocol.
"""
from pandas.core.interchange.dataframe_protocol import DataFrame
from pandas.core.interchange.from_dataframe import from_dataframe
__all__ = ["from_dataframe", "DataFrame"]
| 0 |
public_repos/pandas/pandas/api | public_repos/pandas/pandas/api/extensions/__init__.py | """
Public API for extending pandas objects.
"""
from pandas._libs.lib import no_default
from pandas.core.dtypes.base import (
ExtensionDtype,
register_extension_dtype,
)
from pandas.core.accessor import (
register_dataframe_accessor,
register_index_accessor,
register_series_accessor,
)
from pand... | 0 |
public_repos/pandas/pandas/api | public_repos/pandas/pandas/api/typing/__init__.py | """
Public API classes that store intermediate results useful for type-hinting.
"""
from pandas._libs import NaTType
from pandas._libs.missing import NAType
from pandas.core.groupby import (
DataFrameGroupBy,
SeriesGroupBy,
)
from pandas.core.resample import (
DatetimeIndexResamplerGroupby,
PeriodInde... | 0 |
public_repos/pandas/pandas/api | public_repos/pandas/pandas/api/types/__init__.py | """
Public toolkit API.
"""
from pandas._libs.lib import infer_dtype
from pandas.core.dtypes.api import * # noqa: F403
from pandas.core.dtypes.concat import union_categoricals
from pandas.core.dtypes.dtypes import (
CategoricalDtype,
DatetimeTZDtype,
IntervalDtype,
PeriodDtype,
)
__all__ = [
"in... | 0 |
public_repos/pandas/pandas | public_repos/pandas/pandas/io/orc.py | """ orc compat """
from __future__ import annotations
import io
from types import ModuleType
from typing import (
TYPE_CHECKING,
Any,
Literal,
)
from pandas._config import using_pyarrow_string_dtype
from pandas._libs import lib
from pandas.compat._optional import import_optional_dependency
from pandas.ut... | 0 |
public_repos/pandas/pandas | public_repos/pandas/pandas/io/gbq.py | """ Google BigQuery support """
from __future__ import annotations
from typing import (
TYPE_CHECKING,
Any,
)
import warnings
from pandas.compat._optional import import_optional_dependency
from pandas.util._exceptions import find_stack_level
if TYPE_CHECKING:
import google.auth
from pandas import Da... | 0 |
public_repos/pandas/pandas | public_repos/pandas/pandas/io/clipboards.py | """ io on the clipboard """
from __future__ import annotations
from io import StringIO
from typing import TYPE_CHECKING
import warnings
from pandas._libs import lib
from pandas.util._exceptions import find_stack_level
from pandas.util._validators import check_dtype_backend
from pandas.core.dtypes.generic import ABCD... | 0 |
public_repos/pandas/pandas | public_repos/pandas/pandas/io/feather_format.py | """ feather-format compat """
from __future__ import annotations
from typing import (
TYPE_CHECKING,
Any,
)
from pandas._config import using_pyarrow_string_dtype
from pandas._libs import lib
from pandas.compat._optional import import_optional_dependency
from pandas.util._decorators import doc
from pandas.uti... | 0 |
public_repos/pandas/pandas | public_repos/pandas/pandas/io/html.py | """
:mod:`pandas.io.html` is a module containing functionality for dealing with
HTML IO.
"""
from __future__ import annotations
from collections import abc
import numbers
import re
from re import Pattern
from typing import (
TYPE_CHECKING,
Literal,
cast,
)
import warnings
from pandas._libs import lib
fr... | 0 |
public_repos/pandas/pandas | public_repos/pandas/pandas/io/xml.py | """
:mod:``pandas.io.xml`` is a module for reading XML.
"""
from __future__ import annotations
import io
from os import PathLike
from typing import (
TYPE_CHECKING,
Any,
Callable,
)
import warnings
from pandas._libs import lib
from pandas.compat._optional import import_optional_dependency
from pandas.err... | 0 |
public_repos/pandas/pandas | public_repos/pandas/pandas/io/common.py | """Common IO api utilities"""
from __future__ import annotations
from abc import (
ABC,
abstractmethod,
)
import codecs
from collections import defaultdict
from collections.abc import (
Hashable,
Mapping,
Sequence,
)
import dataclasses
import functools
import gzip
from io import (
BufferedIOBas... | 0 |
public_repos/pandas/pandas | public_repos/pandas/pandas/io/spss.py | from __future__ import annotations
from typing import TYPE_CHECKING
from pandas._libs import lib
from pandas.compat._optional import import_optional_dependency
from pandas.util._validators import check_dtype_backend
from pandas.core.dtypes.inference import is_list_like
from pandas.io.common import stringify_path
i... | 0 |
public_repos/pandas/pandas | public_repos/pandas/pandas/io/pickle.py | """ pickle compat """
from __future__ import annotations
import pickle
from typing import (
TYPE_CHECKING,
Any,
)
import warnings
from pandas.compat import pickle_compat as pc
from pandas.util._decorators import doc
from pandas.core.shared_docs import _shared_docs
from pandas.io.common import get_handle
if... | 0 |
public_repos/pandas/pandas | public_repos/pandas/pandas/io/pytables.py | """
High level interface to PyTables for reading and writing pandas data structures
to disk
"""
from __future__ import annotations
from contextlib import suppress
import copy
from datetime import (
date,
tzinfo,
)
import itertools
import os
import re
from textwrap import dedent
from typing import (
TYPE_CH... | 0 |
public_repos/pandas/pandas | public_repos/pandas/pandas/io/api.py | """
Data IO api
"""
from pandas.io.clipboards import read_clipboard
from pandas.io.excel import (
ExcelFile,
ExcelWriter,
read_excel,
)
from pandas.io.feather_format import read_feather
from pandas.io.gbq import read_gbq
from pandas.io.html import read_html
from pandas.io.json import read_json
from pandas.... | 0 |
public_repos/pandas/pandas | public_repos/pandas/pandas/io/parquet.py | """ parquet compat """
from __future__ import annotations
import io
import json
import os
from typing import (
TYPE_CHECKING,
Any,
Literal,
)
import warnings
from warnings import catch_warnings
from pandas._config import using_pyarrow_string_dtype
from pandas._config.config import _get_option
from pandas... | 0 |
public_repos/pandas/pandas | public_repos/pandas/pandas/io/stata.py | """
Module contains tools for processing Stata files into DataFrames
The StataReader below was originally written by Joe Presbrey as part of PyDTA.
It has been extended and improved by Skipper Seabold from the Statsmodels
project who also developed the StataWriter and was finally added to pandas in
a once again improv... | 0 |
public_repos/pandas/pandas | public_repos/pandas/pandas/io/_util.py | from __future__ import annotations
from typing import Callable
from pandas.compat._optional import import_optional_dependency
import pandas as pd
def _arrow_dtype_mapping() -> dict:
pa = import_optional_dependency("pyarrow")
return {
pa.int8(): pd.Int8Dtype(),
pa.int16(): pd.Int16Dtype(),
... | 0 |
public_repos/pandas/pandas | public_repos/pandas/pandas/io/sql.py | """
Collection of query wrappers / abstractions to both facilitate data
retrieval and to reduce dependency on DB-specific API.
"""
from __future__ import annotations
from abc import (
ABC,
abstractmethod,
)
from contextlib import (
ExitStack,
contextmanager,
)
from datetime import (
date,
date... | 0 |
public_repos/pandas/pandas | public_repos/pandas/pandas/io/__init__.py | # ruff: noqa: TCH004
from typing import TYPE_CHECKING
if TYPE_CHECKING:
# import modules that have public classes/functions
from pandas.io import (
formats,
json,
stata,
)
# mark only those modules as public
__all__ = ["formats", "json", "stata"]
| 0 |
public_repos/pandas/pandas/io | public_repos/pandas/pandas/io/clipboard/__init__.py | """
Pyperclip
A cross-platform clipboard module for Python,
with copy & paste functions for plain text.
By Al Sweigart al@inventwithpython.com
Licence at LICENSES/PYPERCLIP_LICENSE
Usage:
import pyperclip
pyperclip.copy('The text to be copied to the clipboard.')
spam = pyperclip.paste()
if not pyperclip.is_a... | 0 |
public_repos/pandas/pandas/io | public_repos/pandas/pandas/io/parsers/c_parser_wrapper.py | from __future__ import annotations
from collections import defaultdict
from typing import TYPE_CHECKING
import warnings
import numpy as np
from pandas._libs import (
lib,
parsers,
)
from pandas.compat._optional import import_optional_dependency
from pandas.errors import DtypeWarning
from pandas.util._excepti... | 0 |
public_repos/pandas/pandas/io | public_repos/pandas/pandas/io/parsers/base_parser.py | from __future__ import annotations
from collections import defaultdict
from copy import copy
import csv
import datetime
from enum import Enum
import itertools
from typing import (
TYPE_CHECKING,
Any,
Callable,
cast,
final,
overload,
)
import warnings
import numpy as np
from pandas._libs impor... | 0 |
public_repos/pandas/pandas/io | public_repos/pandas/pandas/io/parsers/python_parser.py | from __future__ import annotations
from collections import (
abc,
defaultdict,
)
from collections.abc import (
Hashable,
Iterator,
Mapping,
Sequence,
)
import csv
from io import StringIO
import re
from typing import (
IO,
TYPE_CHECKING,
DefaultDict,
Literal,
cast,
)
import w... | 0 |
public_repos/pandas/pandas/io | public_repos/pandas/pandas/io/parsers/readers.py | """
Module contains tools for processing files into DataFrames or other objects
GH#48849 provides a convenient way of deprecating keyword arguments
"""
from __future__ import annotations
from collections import abc
import csv
import sys
from textwrap import fill
from typing import (
IO,
TYPE_CHECKING,
Any... | 0 |
public_repos/pandas/pandas/io | public_repos/pandas/pandas/io/parsers/arrow_parser_wrapper.py | from __future__ import annotations
from typing import TYPE_CHECKING
import warnings
from pandas._config import using_pyarrow_string_dtype
from pandas._libs import lib
from pandas.compat._optional import import_optional_dependency
from pandas.errors import (
ParserError,
ParserWarning,
)
from pandas.util._exc... | 0 |
public_repos/pandas/pandas/io | public_repos/pandas/pandas/io/parsers/__init__.py | from pandas.io.parsers.readers import (
TextFileReader,
TextParser,
read_csv,
read_fwf,
read_table,
)
__all__ = ["TextFileReader", "TextParser", "read_csv", "read_fwf", "read_table"]
| 0 |
public_repos/pandas/pandas/io | public_repos/pandas/pandas/io/json/_table_schema.py | """
Table Schema builders
https://specs.frictionlessdata.io/table-schema/
"""
from __future__ import annotations
from typing import (
TYPE_CHECKING,
Any,
cast,
)
import warnings
from pandas._libs import lib
from pandas._libs.json import ujson_loads
from pandas._libs.tslibs import timezones
from pandas._l... | 0 |
public_repos/pandas/pandas/io | public_repos/pandas/pandas/io/json/_normalize.py | # ---------------------------------------------------------------------
# JSON normalization routines
from __future__ import annotations
from collections import (
abc,
defaultdict,
)
import copy
from typing import (
TYPE_CHECKING,
Any,
DefaultDict,
)
import numpy as np
from pandas._libs.writers i... | 0 |
public_repos/pandas/pandas/io | public_repos/pandas/pandas/io/json/_json.py | from __future__ import annotations
from abc import (
ABC,
abstractmethod,
)
from collections import abc
from io import StringIO
from itertools import islice
from typing import (
TYPE_CHECKING,
Any,
Callable,
Generic,
Literal,
TypeVar,
overload,
)
import warnings
import numpy as np
... | 0 |
public_repos/pandas/pandas/io | public_repos/pandas/pandas/io/json/__init__.py | from pandas.io.json._json import (
read_json,
to_json,
ujson_dumps,
ujson_loads,
)
from pandas.io.json._table_schema import build_table_schema
__all__ = [
"ujson_dumps",
"ujson_loads",
"read_json",
"to_json",
"build_table_schema",
]
| 0 |
public_repos/pandas/pandas/io | public_repos/pandas/pandas/io/formats/console.py | """
Internal module for console introspection
"""
from __future__ import annotations
from shutil import get_terminal_size
def get_console_size() -> tuple[int | None, int | None]:
"""
Return console size as tuple = (width, height).
Returns (None,None) in non-interactive session.
"""
from pandas i... | 0 |
public_repos/pandas/pandas/io | public_repos/pandas/pandas/io/formats/html.py | """
Module for formatting output data in HTML.
"""
from __future__ import annotations
from textwrap import dedent
from typing import (
TYPE_CHECKING,
Any,
Final,
cast,
)
from pandas._config import get_option
from pandas._libs import lib
from pandas import (
MultiIndex,
option_context,
)
fro... | 0 |
public_repos/pandas/pandas/io | public_repos/pandas/pandas/io/formats/xml.py | """
:mod:`pandas.io.formats.xml` is a module for formatting data in XML.
"""
from __future__ import annotations
import codecs
import io
from typing import (
TYPE_CHECKING,
Any,
final,
)
import warnings
from pandas.errors import AbstractMethodError
from pandas.util._decorators import (
cache_readonly,
... | 0 |
public_repos/pandas/pandas/io | public_repos/pandas/pandas/io/formats/info.py | from __future__ import annotations
from abc import (
ABC,
abstractmethod,
)
import sys
from textwrap import dedent
from typing import TYPE_CHECKING
from pandas._config import get_option
from pandas.io.formats import format as fmt
from pandas.io.formats.printing import pprint_thing
if TYPE_CHECKING:
from... | 0 |
public_repos/pandas/pandas/io | public_repos/pandas/pandas/io/formats/string.py | """
Module for formatting output data in console (to string).
"""
from __future__ import annotations
from shutil import get_terminal_size
from typing import TYPE_CHECKING
import numpy as np
from pandas.io.formats.printing import pprint_thing
if TYPE_CHECKING:
from collections.abc import Iterable
from panda... | 0 |
public_repos/pandas/pandas/io | public_repos/pandas/pandas/io/formats/_color_data.py | # GH37967: Enable the use of CSS named colors, as defined in
# matplotlib.colors.CSS4_COLORS, when exporting to Excel.
# This data has been copied here, instead of being imported from matplotlib,
# not to have ``to_excel`` methods require matplotlib.
# source: matplotlib._color_data (3.3.3)
from __future__ import annot... | 0 |
public_repos/pandas/pandas/io | public_repos/pandas/pandas/io/formats/style.py | """
Module for applying conditional formatting to DataFrames and Series.
"""
from __future__ import annotations
from contextlib import contextmanager
import copy
from functools import partial
import operator
from typing import (
TYPE_CHECKING,
Any,
Callable,
overload,
)
import warnings
import numpy as... | 0 |
public_repos/pandas/pandas/io | public_repos/pandas/pandas/io/formats/style_render.py | from __future__ import annotations
from collections import defaultdict
from collections.abc import Sequence
from functools import partial
import re
from typing import (
TYPE_CHECKING,
Any,
Callable,
DefaultDict,
Optional,
TypedDict,
Union,
)
from uuid import uuid4
import numpy as np
from ... | 0 |
public_repos/pandas/pandas/io | public_repos/pandas/pandas/io/formats/printing.py | """
Printing tools.
"""
from __future__ import annotations
from collections.abc import (
Iterable,
Mapping,
Sequence,
)
import sys
from typing import (
Any,
Callable,
TypeVar,
Union,
)
from unicodedata import east_asian_width
from pandas._config import get_option
from pandas.core.dtypes.i... | 0 |
public_repos/pandas/pandas/io | public_repos/pandas/pandas/io/formats/excel.py | """
Utilities for conversion to writer-agnostic Excel representation.
"""
from __future__ import annotations
from collections.abc import (
Hashable,
Iterable,
Mapping,
Sequence,
)
import functools
import itertools
import re
from typing import (
TYPE_CHECKING,
Any,
Callable,
cast,
)
impo... | 0 |
public_repos/pandas/pandas/io | public_repos/pandas/pandas/io/formats/csvs.py | """
Module for formatting output data into CSV files.
"""
from __future__ import annotations
from collections.abc import (
Hashable,
Iterable,
Iterator,
Sequence,
)
import csv as csvlib
import os
from typing import (
TYPE_CHECKING,
Any,
cast,
)
import numpy as np
from pandas._libs import... | 0 |
public_repos/pandas/pandas/io | public_repos/pandas/pandas/io/formats/css.py | """
Utilities for interpreting CSS from Stylers for formatting non-HTML outputs.
"""
from __future__ import annotations
import re
from typing import (
TYPE_CHECKING,
Callable,
)
import warnings
from pandas.errors import CSSWarning
from pandas.util._exceptions import find_stack_level
if TYPE_CHECKING:
fro... | 0 |
public_repos/pandas/pandas/io | public_repos/pandas/pandas/io/formats/format.py | """
Internal module for formatting output data in csv, html, xml,
and latex files. This module also applies to display formatting.
"""
from __future__ import annotations
from collections.abc import (
Generator,
Hashable,
Mapping,
Sequence,
)
from contextlib import contextmanager
from csv import QUOTE_N... | 0 |
public_repos/pandas/pandas/io | public_repos/pandas/pandas/io/formats/__init__.py | # ruff: noqa: TCH004
from typing import TYPE_CHECKING
if TYPE_CHECKING:
# import modules that have public classes/functions
from pandas.io.formats import style
# and mark only those modules as public
__all__ = ["style"]
| 0 |
public_repos/pandas/pandas/io/formats | public_repos/pandas/pandas/io/formats/templates/latex_table.tpl | {% if environment or parse_wrap(table_styles, caption) %}
\begin{% raw %}{{% endraw %}{{environment if environment else "table"}}{% raw %}}{% endraw %}
{%- set position = parse_table(table_styles, 'position') %}
{%- if position is not none %}
[{{position}}]
{%- endif %}
{% set position_float = parse_table(table_styles... | 0 |
public_repos/pandas/pandas/io/formats | public_repos/pandas/pandas/io/formats/templates/string.tpl | {% for r in head %}
{% for c in r %}{% if c["is_visible"] %}
{{ c["display_value"] }}{% if not loop.last %}{{ delimiter }}{% endif %}
{% endif %}{% endfor %}
{% endfor %}
{% for r in body %}
{% for c in r %}{% if c["is_visible"] %}
{{ c["display_value"] }}{% if not loop.last %}{{ delimiter }}{% endif %}
{% endif %}{% ... | 0 |
public_repos/pandas/pandas/io/formats | public_repos/pandas/pandas/io/formats/templates/latex.tpl | {% if environment == "longtable" %}
{% include "latex_longtable.tpl" %}
{% else %}
{% include "latex_table.tpl" %}
{% endif %}
| 0 |
public_repos/pandas/pandas/io/formats | public_repos/pandas/pandas/io/formats/templates/html_style.tpl | {%- block before_style -%}{%- endblock before_style -%}
{% block style %}
<style type="text/css">
{% block table_styles %}
{% for s in table_styles %}
#T_{{uuid}} {{s.selector}} {
{% for p,val in s.props %}
{{p}}: {{val}};
{% endfor %}
}
{% endfor %}
{% endblock table_styles %}
{% block before_cellstyle %}{% endblock... | 0 |
public_repos/pandas/pandas/io/formats | public_repos/pandas/pandas/io/formats/templates/html.tpl | {# Update the html_style/table_structure.html documentation too #}
{% if doctype_html %}
<!DOCTYPE html>
<html>
<head>
<meta charset="{{encoding}}">
{% if not exclude_styles %}{% include html_style_tpl %}{% endif %}
</head>
<body>
{% include html_table_tpl %}
</body>
</html>
{% elif not doctype_html %}
{% if not exclud... | 0 |
public_repos/pandas/pandas/io/formats | public_repos/pandas/pandas/io/formats/templates/html_table.tpl | {% block before_table %}{% endblock before_table %}
{% block table %}
{% if exclude_styles %}
<table>
{% else %}
<table id="T_{{uuid}}"{% if table_attributes %} {{table_attributes}}{% endif %}>
{% endif %}
{% block caption %}
{% if caption and caption is string %}
<caption>{{caption}}</caption>
{% elif caption and ca... | 0 |
public_repos/pandas/pandas/io/formats | public_repos/pandas/pandas/io/formats/templates/latex_longtable.tpl | \begin{longtable}
{%- set position = parse_table(table_styles, 'position') %}
{%- if position is not none %}
[{{position}}]
{%- endif %}
{%- set column_format = parse_table(table_styles, 'column_format') %}
{% raw %}{{% endraw %}{{column_format}}{% raw %}}{% endraw %}
{% for style in table_styles %}
{% if style['selec... | 0 |
public_repos/pandas/pandas/io | public_repos/pandas/pandas/io/excel/_base.py | from __future__ import annotations
from collections.abc import (
Hashable,
Iterable,
Mapping,
Sequence,
)
import datetime
from functools import partial
from io import BytesIO
import os
from textwrap import fill
from typing import (
IO,
TYPE_CHECKING,
Any,
Callable,
Generic,
Lite... | 0 |
public_repos/pandas/pandas/io | public_repos/pandas/pandas/io/excel/_xlrd.py | from __future__ import annotations
from datetime import time
import math
from typing import TYPE_CHECKING
import numpy as np
from pandas.compat._optional import import_optional_dependency
from pandas.util._decorators import doc
from pandas.core.shared_docs import _shared_docs
from pandas.io.excel._base import Base... | 0 |
public_repos/pandas/pandas/io | public_repos/pandas/pandas/io/excel/_openpyxl.py | from __future__ import annotations
import mmap
from typing import (
TYPE_CHECKING,
Any,
cast,
)
import numpy as np
from pandas.compat._optional import import_optional_dependency
from pandas.util._decorators import doc
from pandas.core.shared_docs import _shared_docs
from pandas.io.excel._base import (
... | 0 |
public_repos/pandas/pandas/io | public_repos/pandas/pandas/io/excel/_xlsxwriter.py | from __future__ import annotations
import json
from typing import (
TYPE_CHECKING,
Any,
)
from pandas.io.excel._base import ExcelWriter
from pandas.io.excel._util import (
combine_kwargs,
validate_freeze_panes,
)
if TYPE_CHECKING:
from pandas._typing import (
ExcelWriterIfSheetExists,
... | 0 |
public_repos/pandas/pandas/io | public_repos/pandas/pandas/io/excel/_odswriter.py | from __future__ import annotations
from collections import defaultdict
import datetime
import json
from typing import (
TYPE_CHECKING,
Any,
DefaultDict,
cast,
overload,
)
from pandas.io.excel._base import ExcelWriter
from pandas.io.excel._util import (
combine_kwargs,
validate_freeze_panes... | 0 |
public_repos/pandas/pandas/io | public_repos/pandas/pandas/io/excel/_calamine.py | from __future__ import annotations
from datetime import (
date,
datetime,
time,
timedelta,
)
from typing import (
TYPE_CHECKING,
Any,
Union,
cast,
)
from pandas._typing import Scalar
from pandas.compat._optional import import_optional_dependency
from pandas.util._decorators import doc
... | 0 |
public_repos/pandas/pandas/io | public_repos/pandas/pandas/io/excel/_odfreader.py | from __future__ import annotations
from typing import (
TYPE_CHECKING,
cast,
)
import numpy as np
from pandas._typing import (
FilePath,
ReadBuffer,
Scalar,
StorageOptions,
)
from pandas.compat._optional import import_optional_dependency
from pandas.util._decorators import doc
import pandas ... | 0 |
public_repos/pandas/pandas/io | public_repos/pandas/pandas/io/excel/_util.py | from __future__ import annotations
from collections.abc import (
Hashable,
Iterable,
MutableMapping,
Sequence,
)
from typing import (
TYPE_CHECKING,
Any,
Callable,
Literal,
TypeVar,
overload,
)
from pandas.compat._optional import import_optional_dependency
from pandas.core.dty... | 0 |
public_repos/pandas/pandas/io | public_repos/pandas/pandas/io/excel/__init__.py | from pandas.io.excel._base import (
ExcelFile,
ExcelWriter,
read_excel,
)
from pandas.io.excel._odswriter import ODSWriter as _ODSWriter
from pandas.io.excel._openpyxl import OpenpyxlWriter as _OpenpyxlWriter
from pandas.io.excel._util import register_writer
from pandas.io.excel._xlsxwriter import XlsxWrite... | 0 |
public_repos/pandas/pandas/io | public_repos/pandas/pandas/io/excel/_pyxlsb.py | # pyright: reportMissingImports=false
from __future__ import annotations
from typing import TYPE_CHECKING
from pandas.compat._optional import import_optional_dependency
from pandas.util._decorators import doc
from pandas.core.shared_docs import _shared_docs
from pandas.io.excel._base import BaseExcelReader
if TYPE... | 0 |
public_repos/pandas/pandas/io | public_repos/pandas/pandas/io/sas/sasreader.py | """
Read SAS sas7bdat or xport files.
"""
from __future__ import annotations
from abc import (
ABC,
abstractmethod,
)
from typing import (
TYPE_CHECKING,
overload,
)
from pandas.util._decorators import doc
from pandas.core.shared_docs import _shared_docs
from pandas.io.common import stringify_path
... | 0 |
public_repos/pandas/pandas/io | public_repos/pandas/pandas/io/sas/sas_constants.py | from __future__ import annotations
from typing import Final
magic: Final = (
b"\x00\x00\x00\x00\x00\x00\x00\x00"
b"\x00\x00\x00\x00\xc2\xea\x81\x60"
b"\xb3\x14\x11\xcf\xbd\x92\x08\x00"
b"\x09\xc7\x31\x8c\x18\x1f\x10\x11"
)
align_1_checker_value: Final = b"3"
align_1_offset: Final = 32
align_1_length:... | 0 |
public_repos/pandas/pandas/io | public_repos/pandas/pandas/io/sas/sas7bdat.py | """
Read SAS7BDAT files
Based on code written by Jared Hobbs:
https://bitbucket.org/jaredhobbs/sas7bdat
See also:
https://github.com/BioStatMatt/sas7bdat
Partial documentation of the file format:
https://cran.r-project.org/package=sas7bdat/vignettes/sas7bdat.pdf
Reference for binary data compression:
http:/... | 0 |
public_repos/pandas/pandas/io | public_repos/pandas/pandas/io/sas/sas_xport.py | """
Read a SAS XPort format file into a Pandas DataFrame.
Based on code from Jack Cushman (github.com/jcushman/xport).
The file format is defined here:
https://support.sas.com/content/dam/SAS/support/en/technical-papers/record-layout-of-a-sas-version-5-or-6-data-set-in-sas-transport-xport-format.pdf
"""
from __futur... | 0 |
public_repos/pandas/pandas/io | public_repos/pandas/pandas/io/sas/__init__.py | from pandas.io.sas.sasreader import read_sas
__all__ = ["read_sas"]
| 0 |
public_repos/pandas | public_repos/pandas/ci/code_checks.sh | #!/bin/bash
#
# Run checks related to code quality.
#
# This script is intended for both the CI and to check locally that code standards are
# respected. We run doctests here (currently some files only), and we
# validate formatting error in docstrings.
#
# Usage:
# $ ./ci/code_checks.sh # run all check... | 0 |
public_repos/pandas | public_repos/pandas/ci/run_tests.sh | #!/bin/bash -e
# Workaround for pytest-xdist (it collects different tests in the workers if PYTHONHASHSEED is not set)
# https://github.com/pytest-dev/pytest/issues/920
# https://github.com/pytest-dev/pytest/issues/1075
export PYTHONHASHSEED=$(python -c 'import random; print(random.randint(1, 4294967295))')
# May hel... | 0 |
public_repos/pandas | public_repos/pandas/ci/meta.yaml | {% set version = "2.0.1" %}
package:
name: pandas
version: {{ version }}
source:
git_url: ../..
build:
number: 1
script:
- export PYTHONUNBUFFERED=1 # [ppc64le]
- {{ PYTHON }} -m pip install -vv --no-deps --ignore-installed . # [not unix]
- {{ PYTHON }} -m pip install -vv --no-deps --ignore-i... | 0 |
public_repos/pandas | public_repos/pandas/ci/condarc.yml | # https://docs.conda.io/projects/conda/en/latest/configuration.html
# always_yes (NoneType, bool)
# aliases: yes
# Automatically choose the 'yes' option whenever asked to proceed with a
# conda operation, such as when running `conda install`.
#
always_yes: true
# remote_connect_timeout_secs (float)
# The numb... | 0 |
public_repos/pandas | public_repos/pandas/ci/upload_wheels.sh | # Modified from numpy's https://github.com/numpy/numpy/blob/main/tools/wheels/upload_wheels.sh
set_upload_vars() {
echo "IS_PUSH is $IS_PUSH"
echo "IS_SCHEDULE_DISPATCH is $IS_SCHEDULE_DISPATCH"
if [[ "$IS_PUSH" == "true" ]]; then
echo push and tag event
export ANACONDA_ORG="multibuild-whee... | 0 |
public_repos/pandas/ci | public_repos/pandas/ci/deps/circle-310-arm64.yaml | name: pandas-dev
channels:
- conda-forge
dependencies:
- python=3.10
# build dependencies
- versioneer[toml]
- cython>=0.29.33
- meson[ninja]=1.2.1
- meson-python=0.13.1
# test dependencies
- pytest>=7.3.2
- pytest-cov
- pytest-xdist>=2.2.0
- pytest-localserver>=0.7.1
- boto3
# required d... | 0 |
public_repos/pandas/ci | public_repos/pandas/ci/deps/actions-311-numpydev.yaml | name: pandas-dev
channels:
- conda-forge
dependencies:
- python=3.11
# build dependencies
- versioneer[toml]
- meson[ninja]=1.2.1
- meson-python=0.13.1
- cython>=0.29.33
# test dependencies
- pytest>=7.3.2
- pytest-cov
# Once pytest-cov > 4 comes out, unpin this
# Right now, a DeprecationWarni... | 0 |
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