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b/python/python_calamine/_python_calamine.pyi @@ -1,11 +1,11 @@ from __future__ import annotations import enum -from datetime import date, datetime, time +from datetime import date, datetime, time, timedelta from os import PathLike from typing import Protocol -ValueT = int | float | str | bool | time | date | datetime +ValueT = int | float | str | bool | time | date | datetime | timedelta class ReadBuffer(Protocol): def seek(self) -> int: ... diff --git a/python/python_calamine/pandas.py b/python/python_calamine/pandas.py index 70f85ab..d3ca00b 100644 --- a/python/python_calamine/pandas.py +++ b/python/python_calamine/pandas.py @@ -1,27 +1,37 @@ from __future__ import annotations -from datetime import date, datetime, time -from typing import Union, cast +from datetime import date, datetime, time, timedelta +from importlib.metadata import version +from typing import TYPE_CHECKING, Union, cast import pandas as pd -from pandas._typing import FilePath, ReadBuffer, Scalar, StorageOptions +from packaging.version import Version, parse +from pandas._typing import Scalar from pandas.compat._optional import import_optional_dependency from pandas.core.shared_docs import _shared_docs from pandas.io.excel import ExcelFile from pandas.io.excel._base import BaseExcelReader from pandas.util._decorators import doc -_ValueT = Union[int, float, str, bool, time, date, datetime] +if TYPE_CHECKING: + from pandas._typing import FilePath, ReadBuffer, StorageOptions + from python_calamine import CalamineSheet, CalamineWorkbook + +_CellValueT = Union[int, float, str, bool, time, date, datetime, timedelta] + + +PANDAS_VERSION = parse(version("pandas")) class CalamineExcelReader(BaseExcelReader): - _sheet_names: list[str] | None = None + book: CalamineWorkbook @doc(storage_options=_shared_docs["storage_options"]) def __init__( self, filepath_or_buffer: FilePath | ReadBuffer[bytes], - storage_options: StorageOptions = None, + storage_options: StorageOptions | None = None, + engine_kwargs: dict | None = None, ) -> None: """ Reader using calamine engine (xlsx/xls/xlsb/ods). @@ -31,37 +41,61 @@ def __init__( filepath_or_buffer : str, path to be parsed or an open readable stream. {storage_options} + engine_kwargs : dict, optional + Arbitrary keyword arguments passed to excel engine. """ import_optional_dependency("python_calamine") - super().__init__(filepath_or_buffer, storage_options=storage_options) + if PANDAS_VERSION >= Version("2.1.0"): + super().__init__( + filepath_or_buffer, + storage_options=storage_options, + engine_kwargs=engine_kwargs, + ) + elif PANDAS_VERSION >= Version("2.0.0"): + super().__init__( + filepath_or_buffer, + storage_options=storage_options, + ) + else: + raise ValueError("Pandas >= 2 is only supported") @property - def _workbook_class(self): + def _workbook_class(self) -> type[CalamineWorkbook]: from python_calamine import CalamineWorkbook return CalamineWorkbook - def load_workbook(self, filepath_or_buffer: FilePath | ReadBuffer[bytes]): + def load_workbook( + self, + filepath_or_buffer: FilePath | ReadBuffer[bytes], + engine_kwargs: dict | None = None, + ) -> CalamineWorkbook: from python_calamine import load_workbook - return load_workbook(filepath_or_buffer) + return load_workbook(filepath_or_buffer, **(engine_kwargs or {})) @property def sheet_names(self) -> list[str]: - return self.book.sheet_names # pyright: ignore + from python_calamine import SheetTypeEnum + + return [ + sheet.name + for sheet in self.book.sheets_metadata + if sheet.typ == SheetTypeEnum.WorkSheet + ] - def get_sheet_by_name(self, name: str): + def get_sheet_by_name(self, name: str) -> CalamineSheet: self.raise_if_bad_sheet_by_name(name) - return self.book.get_sheet_by_name(name) # pyright: ignore + return self.book.get_sheet_by_name(name) - def get_sheet_by_index(self, index: int): + def get_sheet_by_index(self, index: int) -> CalamineSheet: self.raise_if_bad_sheet_by_index(index) - return self.book.get_sheet_by_index(index) # pyright: ignore + return self.book.get_sheet_by_index(index) def get_sheet_data( - self, sheet, file_rows_needed: int | None = None + self, sheet: CalamineSheet, file_rows_needed: int | None = None ) -> list[list[Scalar]]: - def _convert_cell(value: _ValueT) -> Scalar: + def _convert_cell(value: _CellValueT) -> Scalar: if isinstance(value, float): val = int(value) if val == value: @@ -70,19 +104,21 @@ def _convert_cell(value: _ValueT) -> Scalar: return value elif isinstance(value, date): return pd.Timestamp(value) + elif isinstance(value, timedelta): + return pd.Timedelta(value) elif isinstance(value, time): # cast needed here because Scalar doesn't include datetime.time return cast(Scalar, value) return value - rows: list[list[_ValueT]] = sheet.to_python( - skip_empty_area=False, nrows=file_rows_needed - ) + rows: list[list[_CellValueT]] = sheet.to_python(skip_empty_area=False) data: list[list[Scalar]] = [] for row in rows: data.append([_convert_cell(cell) for cell in row]) + if file_rows_needed is not None and len(data) >= file_rows_needed: + break return data diff --git a/tests/conftest.py b/tests/conftest.py new file mode 100644 index 0000000..2568f22 --- /dev/null +++ b/tests/conftest.py @@ -0,0 +1,81 @@ +from datetime import datetime, time + +import pytest + + +@pytest.fixture +def pandas_monkeypatch(): + from python_calamine.pandas import pandas_monkeypatch + + pandas_monkeypatch() + yield + + +@pytest.fixture +def expected_df_ods(): + import pandas as pd + + return pd.DataFrame( + [ + [ + "String", + 1, + 1.1, + True, + False, + pd.Timestamp("2010-10-10"), + datetime(2010, 10, 10, 10, 10, 10), + time(10, 10, 10), + time(10, 10, 10, 100000), + # duration (255:10:10) isn't supported + # see https://github.com/tafia/calamine/pull/288 and https://github.com/chronotope/chrono/issues/579 + "PT255H10M10S", + ], + ], + columns=[ + "Unnamed: 0", + "Unnamed: 1", + "Unnamed: 2", + "Unnamed: 3", + "Unnamed: 4", + "Unnamed: 5", + "Unnamed: 6", + "Unnamed: 7", + "Unnamed: 8", + "Unnamed: 9", + ], + ) + + +@pytest.fixture +def expected_df_excel(): + import pandas as pd + + return pd.DataFrame( + [ + [ + "String", + 1, + 1.1, + True, + False, + pd.Timestamp("2010-10-10"), + datetime(2010, 10, 10, 10, 10, 10), + time(10, 10, 10), + pd.Timedelta(hours=10, minutes=10, seconds=10, microseconds=100000), + pd.Timedelta(hours=255, minutes=10, seconds=10), + ], + ], + columns=[ + "Unnamed: 0", + "Unnamed: 1", + "Unnamed: 2", + "Unnamed: 3", + "Unnamed: 4", + "Unnamed: 5", + "Unnamed: 6", + "Unnamed: 7", + "Unnamed: 8", + "Unnamed: 9", + ], + ) diff --git a/tests/test_pandas.py b/tests/test_pandas.py new file mode 100644 index 0000000..f03c65c --- /dev/null +++ b/tests/test_pandas.py @@ -0,0 +1,112 @@ +from pathlib import Path + +import pytest + +try: + import pandas as pd + import pandas._testing as tm +except ImportError: + pd = None + tm = None + +PATH = Path(__file__).parent / "data" + + +@pytest.mark.skipif(not pd, reason="pandas is required") +def test_ods_pandas(pandas_monkeypatch, expected_df_ods): + result = pd.read_excel(PATH / "base.ods", sheet_name="Sheet1", engine="calamine") + + tm.assert_frame_equal(result, expected_df_ods) + + +@pytest.mark.skipif(not pd, reason="pandas is required") +@pytest.mark.xfail(reason="OdfReader can't parse timedelta") +def test_ods_odfpy_pandas(pandas_monkeypatch): + result_calamine = pd.read_excel( + PATH / "base.ods", sheet_name="Sheet1", engine="calamine" + ) + result_default = pd.read_excel(PATH / "base.ods", sheet_name="Sheet1") + + result_calamine = result_calamine.drop( + result_calamine.columns[[8, 9]], axis=1, inplace=False + ) + result_default = result_default.drop( + result_default.columns[[8, 9]], axis=1, inplace=False + ) + + tm.assert_frame_equal(result_calamine, result_default) + + +@pytest.mark.skipif(not pd, reason="pandas is required") +def test_xls_pandas(pandas_monkeypatch, expected_df_excel): + result = pd.read_excel(PATH / "base.xls", sheet_name="Sheet1", engine="calamine") + + tm.assert_frame_equal(result, expected_df_excel) + + +@pytest.mark.skipif(not pd, reason="pandas is required") +def test_xls_xlrd_pandas(pandas_monkeypatch): + result_calamine = pd.read_excel( + PATH / "base.xls", sheet_name="Sheet1", engine="calamine" + ) + result_default = pd.read_excel(PATH / "base.xls", sheet_name="Sheet1") + + # pyxlsb doesn't support timdelta + result_calamine = result_calamine.drop( + result_calamine.columns[[8, 9]], axis=1, inplace=False + ) + result_default = result_default.drop( + result_default.columns[[8, 9]], axis=1, inplace=False + ) + + tm.assert_frame_equal(result_calamine, result_default) + + +@pytest.mark.skipif(not pd, reason="pandas is required") +def test_xlsb_pandas(pandas_monkeypatch, expected_df_excel): + result = pd.read_excel(PATH / "base.xlsb", sheet_name="Sheet1", engine="calamine") + + tm.assert_frame_equal(result, expected_df_excel) + + +@pytest.mark.skipif(not pd, reason="pandas is required") +def test_xlsb_pyxlsb_pandas(pandas_monkeypatch): + result_calamine = pd.read_excel( + PATH / "base.xlsb", sheet_name="Sheet1", engine="calamine" + ) + result_default = pd.read_excel(PATH / "base.xlsb", sheet_name="Sheet1") + + # pyxlsb doesn't support datetime + result_calamine = result_calamine.drop( + result_calamine.columns[[5, 6, 7, 8, 9]], axis=1, inplace=False + ) + result_default = result_default.drop( + result_default.columns[[5, 6, 7, 8, 9]], axis=1, inplace=False + ) + + tm.assert_frame_equal(result_calamine, result_default) + + +@pytest.mark.skipif(not pd, reason="pandas is required") +def test_xlsx_pandas(pandas_monkeypatch, expected_df_excel): + result = pd.read_excel(PATH / "base.xlsx", sheet_name="Sheet1", engine="calamine") + + tm.assert_frame_equal(result, expected_df_excel) + + +@pytest.mark.skipif(not pd, reason="pandas is required") +def test_xlsb_openpyxl_pandas(pandas_monkeypatch): + result_calamine = pd.read_excel( + PATH / "base.xlsx", sheet_name="Sheet1", engine="calamine" + ) + result_default = pd.read_excel(PATH / "base.xlsx", sheet_name="Sheet1") + + # openpyxl doesn't support timdelta + result_calamine = result_calamine.drop( + result_calamine.columns[[8, 9]], axis=1, inplace=False + ) + result_default = result_default.drop( + result_default.columns[[8, 9]], axis=1, inplace=False + ) + + tm.assert_frame_equal(result_calamine, result_default)