diff --git a/docs/fastexcel.html b/docs/fastexcel.html index 5e79f0e..8317b17 100644 --- a/docs/fastexcel.html +++ b/docs/fastexcel.html @@ -166,264 +166,265 @@

3from typing import TYPE_CHECKING 4 5if TYPE_CHECKING: - 6 from pathlib import Path - 7 - 8 import pandas as pd - 9 import polars as pl - 10 - 11from os.path import expanduser - 12 - 13import pyarrow as pa - 14 - 15from ._fastexcel import ( - 16 ArrowError, - 17 CalamineCellError, - 18 CalamineError, - 19 CannotRetrieveCellDataError, - 20 ColumnNotFoundError, - 21 FastExcelError, - 22 InvalidParametersError, - 23 SheetNotFoundError, - 24 UnsupportedColumnTypeCombinationError, - 25 __version__, - 26 _ExcelReader, - 27 _ExcelSheet, - 28) - 29from ._fastexcel import read_excel as _read_excel + 6 import pandas as pd + 7 import polars as pl + 8 + 9from os.path import expanduser + 10from pathlib import Path + 11 + 12import pyarrow as pa + 13 + 14from ._fastexcel import ( + 15 ArrowError, + 16 CalamineCellError, + 17 CalamineError, + 18 CannotRetrieveCellDataError, + 19 ColumnNotFoundError, + 20 FastExcelError, + 21 InvalidParametersError, + 22 SheetNotFoundError, + 23 UnsupportedColumnTypeCombinationError, + 24 __version__, + 25 _ExcelReader, + 26 _ExcelSheet, + 27) + 28from ._fastexcel import read_excel as _read_excel + 29 30 - 31 - 32class ExcelSheet: - 33 """A class representing a single sheet in an Excel File""" - 34 - 35 def __init__(self, sheet: _ExcelSheet) -> None: - 36 self._sheet = sheet - 37 - 38 @property - 39 def name(self) -> str: - 40 """The name of the sheet""" - 41 return self._sheet.name - 42 - 43 @property - 44 def width(self) -> int: - 45 """The sheet's width""" - 46 return self._sheet.width - 47 - 48 @property - 49 def height(self) -> int: - 50 """The sheet's height, with `skip_rows` and `nrows` applied""" - 51 return self._sheet.height - 52 - 53 @property - 54 def total_height(self) -> int: - 55 """The sheet's total height""" - 56 return self._sheet.total_height - 57 - 58 @property - 59 def selected_columns(self) -> list[str] | list[int] | None: - 60 """The sheet's selected columns""" - 61 return self._sheet.selected_columns - 62 - 63 @property - 64 def available_columns(self) -> list[str]: - 65 """The columns available for the given sheet""" - 66 return self._sheet.available_columns - 67 - 68 def to_arrow(self) -> pa.RecordBatch: - 69 """Converts the sheet to a pyarrow `RecordBatch`""" - 70 return self._sheet.to_arrow() - 71 - 72 def to_pandas(self) -> "pd.DataFrame": - 73 """Converts the sheet to a Pandas `DataFrame`. - 74 - 75 Requires the `pandas` extra to be installed. - 76 """ - 77 # We know for sure that the sheet will yield exactly one RecordBatch - 78 return self.to_arrow().to_pandas() - 79 - 80 def to_polars(self) -> "pl.DataFrame": - 81 """Converts the sheet to a Polars `DataFrame`. - 82 - 83 Requires the `polars` extra to be installed. - 84 """ - 85 import polars as pl - 86 - 87 df = pl.from_arrow(data=self.to_arrow()) - 88 assert isinstance(df, pl.DataFrame) - 89 return df - 90 - 91 def __repr__(self) -> str: - 92 return self._sheet.__repr__() + 31class ExcelSheet: + 32 """A class representing a single sheet in an Excel File""" + 33 + 34 def __init__(self, sheet: _ExcelSheet) -> None: + 35 self._sheet = sheet + 36 + 37 @property + 38 def name(self) -> str: + 39 """The name of the sheet""" + 40 return self._sheet.name + 41 + 42 @property + 43 def width(self) -> int: + 44 """The sheet's width""" + 45 return self._sheet.width + 46 + 47 @property + 48 def height(self) -> int: + 49 """The sheet's height, with `skip_rows` and `nrows` applied""" + 50 return self._sheet.height + 51 + 52 @property + 53 def total_height(self) -> int: + 54 """The sheet's total height""" + 55 return self._sheet.total_height + 56 + 57 @property + 58 def selected_columns(self) -> list[str] | list[int] | None: + 59 """The sheet's selected columns""" + 60 return self._sheet.selected_columns + 61 + 62 @property + 63 def available_columns(self) -> list[str]: + 64 """The columns available for the given sheet""" + 65 return self._sheet.available_columns + 66 + 67 def to_arrow(self) -> pa.RecordBatch: + 68 """Converts the sheet to a pyarrow `RecordBatch`""" + 69 return self._sheet.to_arrow() + 70 + 71 def to_pandas(self) -> "pd.DataFrame": + 72 """Converts the sheet to a Pandas `DataFrame`. + 73 + 74 Requires the `pandas` extra to be installed. + 75 """ + 76 # We know for sure that the sheet will yield exactly one RecordBatch + 77 return self.to_arrow().to_pandas() + 78 + 79 def to_polars(self) -> "pl.DataFrame": + 80 """Converts the sheet to a Polars `DataFrame`. + 81 + 82 Requires the `polars` extra to be installed. + 83 """ + 84 import polars as pl + 85 + 86 df = pl.from_arrow(data=self.to_arrow()) + 87 assert isinstance(df, pl.DataFrame) + 88 return df + 89 + 90 def __repr__(self) -> str: + 91 return self._sheet.__repr__() + 92 93 - 94 - 95class ExcelReader: - 96 """A class representing an open Excel file and allowing to read its sheets""" - 97 - 98 def __init__(self, reader: _ExcelReader) -> None: - 99 self._reader = reader -100 -101 @property -102 def sheet_names(self) -> list[str]: -103 """The list of sheet names""" -104 return self._reader.sheet_names -105 -106 def load_sheet_by_name( -107 self, -108 name: str, -109 *, -110 header_row: int | None = 0, -111 column_names: list[str] | None = None, -112 skip_rows: int = 0, -113 n_rows: int | None = None, -114 schema_sample_rows: int | None = 1_000, -115 use_columns: list[str] | list[int] | str | None = None, -116 ) -> ExcelSheet: -117 """Loads a sheet by name. -118 -119 :param name: The name of the sheet to load. -120 :param header_row: The index of the row containing the column labels, default index is 0. -121 If `None`, the sheet does not have any column labels. -122 :param column_names: Overrides headers found in the document. -123 If `column_names` is used, `header_row` will be ignored. -124 :param n_rows: Specifies how many rows should be loaded. -125 If `None`, all rows are loaded -126 :param skip_rows: Specifies how many rows should be skipped after the header. -127 If `header_row` is `None`, it skips the number of rows from the -128 start of the sheet. -129 :param schema_sample_rows: Specifies how many rows should be used to determine -130 the dtype of a column. -131 If `None`, all rows will be used. -132 :param use_columns: Specifies the columns to use. Can either be: -133 - `None` to select all columns -134 - a list of strings, the column names -135 - a list of ints, the column indices (starting at 0) -136 - a string, a comma separated list of Excel column letters and column -137 ranges (e.g. `“A:E”` or `“A,C,E:F”`, which would result in -138 `A,B,C,D,E` and `A,C,E,F`) -139 """ -140 return ExcelSheet( -141 self._reader.load_sheet_by_name( -142 name, -143 header_row=header_row, -144 column_names=column_names, -145 skip_rows=skip_rows, -146 n_rows=n_rows, -147 schema_sample_rows=schema_sample_rows, -148 use_columns=use_columns, -149 ) -150 ) -151 -152 def load_sheet_by_idx( -153 self, -154 idx: int, -155 *, -156 header_row: int | None = 0, -157 column_names: list[str] | None = None, -158 skip_rows: int = 0, -159 n_rows: int | None = None, -160 schema_sample_rows: int | None = 1_000, -161 use_columns: list[str] | list[int] | str | None = None, -162 ) -> ExcelSheet: -163 """Loads a sheet by index. -164 -165 :param idx: The index (starting at 0) of the sheet to load. -166 :param header_row: The index of the row containing the column labels, default index is 0. -167 If `None`, the sheet does not have any column labels. -168 :param column_names: Overrides headers found in the document. -169 If `column_names` is used, `header_row` will be ignored. -170 :param n_rows: Specifies how many rows should be loaded. -171 If `None`, all rows are loaded -172 :param skip_rows: Specifies how many rows should be skipped after the header. -173 If `header_row` is `None`, it skips the number of rows from the -174 start of the sheet. -175 :param schema_sample_rows: Specifies how many rows should be used to determine -176 the dtype of a column. -177 If `None`, all rows will be used. -178 :param use_columns: Specifies the columns to use. Can either be: -179 - `None` to select all columns -180 - a list of strings, the column names -181 - a list of ints, the column indices (starting at 0) -182 - a string, a comma separated list of Excel column letters and column -183 ranges (e.g. `“A:E”` or `“A,C,E:F”`, which would result in -184 `A,B,C,D,E` and `A,C,E,F`) -185 """ -186 if idx < 0: -187 raise ValueError(f"Expected idx to be > 0, got {idx}") -188 return ExcelSheet( -189 self._reader.load_sheet_by_idx( -190 idx, -191 header_row=header_row, -192 column_names=column_names, -193 skip_rows=skip_rows, -194 n_rows=n_rows, -195 schema_sample_rows=schema_sample_rows, -196 use_columns=use_columns, -197 ) -198 ) -199 -200 def load_sheet( -201 self, -202 idx_or_name: int | str, -203 *, -204 header_row: int | None = 0, -205 column_names: list[str] | None = None, -206 skip_rows: int = 0, -207 n_rows: int | None = None, -208 schema_sample_rows: int | None = 1_000, -209 use_columns: list[str] | list[int] | str | None = None, -210 ) -> ExcelSheet: -211 """Loads a sheet by name if a string is passed or by index if an integer is passed. -212 -213 See `load_sheet_by_idx` and `load_sheet_by_name` for parameter documentation. -214 """ -215 return ( -216 self.load_sheet_by_idx( -217 idx_or_name, -218 header_row=header_row, -219 column_names=column_names, -220 skip_rows=skip_rows, -221 n_rows=n_rows, -222 schema_sample_rows=schema_sample_rows, -223 use_columns=use_columns, -224 ) -225 if isinstance(idx_or_name, int) -226 else self.load_sheet_by_name( -227 idx_or_name, -228 header_row=header_row, -229 column_names=column_names, -230 skip_rows=skip_rows, -231 n_rows=n_rows, -232 schema_sample_rows=schema_sample_rows, -233 use_columns=use_columns, -234 ) -235 ) -236 -237 def __repr__(self) -> str: -238 return self._reader.__repr__() + 94class ExcelReader: + 95 """A class representing an open Excel file and allowing to read its sheets""" + 96 + 97 def __init__(self, reader: _ExcelReader) -> None: + 98 self._reader = reader + 99 +100 @property +101 def sheet_names(self) -> list[str]: +102 """The list of sheet names""" +103 return self._reader.sheet_names +104 +105 def load_sheet_by_name( +106 self, +107 name: str, +108 *, +109 header_row: int | None = 0, +110 column_names: list[str] | None = None, +111 skip_rows: int = 0, +112 n_rows: int | None = None, +113 schema_sample_rows: int | None = 1_000, +114 use_columns: list[str] | list[int] | str | None = None, +115 ) -> ExcelSheet: +116 """Loads a sheet by name. +117 +118 :param name: The name of the sheet to load. +119 :param header_row: The index of the row containing the column labels, default index is 0. +120 If `None`, the sheet does not have any column labels. +121 :param column_names: Overrides headers found in the document. +122 If `column_names` is used, `header_row` will be ignored. +123 :param n_rows: Specifies how many rows should be loaded. +124 If `None`, all rows are loaded +125 :param skip_rows: Specifies how many rows should be skipped after the header. +126 If `header_row` is `None`, it skips the number of rows from the +127 start of the sheet. +128 :param schema_sample_rows: Specifies how many rows should be used to determine +129 the dtype of a column. +130 If `None`, all rows will be used. +131 :param use_columns: Specifies the columns to use. Can either be: +132 - `None` to select all columns +133 - a list of strings, the column names +134 - a list of ints, the column indices (starting at 0) +135 - a string, a comma separated list of Excel column letters and column +136 ranges (e.g. `“A:E”` or `“A,C,E:F”`, which would result in +137 `A,B,C,D,E` and `A,C,E,F`) +138 """ +139 return ExcelSheet( +140 self._reader.load_sheet_by_name( +141 name, +142 header_row=header_row, +143 column_names=column_names, +144 skip_rows=skip_rows, +145 n_rows=n_rows, +146 schema_sample_rows=schema_sample_rows, +147 use_columns=use_columns, +148 ) +149 ) +150 +151 def load_sheet_by_idx( +152 self, +153 idx: int, +154 *, +155 header_row: int | None = 0, +156 column_names: list[str] | None = None, +157 skip_rows: int = 0, +158 n_rows: int | None = None, +159 schema_sample_rows: int | None = 1_000, +160 use_columns: list[str] | list[int] | str | None = None, +161 ) -> ExcelSheet: +162 """Loads a sheet by index. +163 +164 :param idx: The index (starting at 0) of the sheet to load. +165 :param header_row: The index of the row containing the column labels, default index is 0. +166 If `None`, the sheet does not have any column labels. +167 :param column_names: Overrides headers found in the document. +168 If `column_names` is used, `header_row` will be ignored. +169 :param n_rows: Specifies how many rows should be loaded. +170 If `None`, all rows are loaded +171 :param skip_rows: Specifies how many rows should be skipped after the header. +172 If `header_row` is `None`, it skips the number of rows from the +173 start of the sheet. +174 :param schema_sample_rows: Specifies how many rows should be used to determine +175 the dtype of a column. +176 If `None`, all rows will be used. +177 :param use_columns: Specifies the columns to use. Can either be: +178 - `None` to select all columns +179 - a list of strings, the column names +180 - a list of ints, the column indices (starting at 0) +181 - a string, a comma separated list of Excel column letters and column +182 ranges (e.g. `“A:E”` or `“A,C,E:F”`, which would result in +183 `A,B,C,D,E` and `A,C,E,F`) +184 """ +185 if idx < 0: +186 raise ValueError(f"Expected idx to be > 0, got {idx}") +187 return ExcelSheet( +188 self._reader.load_sheet_by_idx( +189 idx, +190 header_row=header_row, +191 column_names=column_names, +192 skip_rows=skip_rows, +193 n_rows=n_rows, +194 schema_sample_rows=schema_sample_rows, +195 use_columns=use_columns, +196 ) +197 ) +198 +199 def load_sheet( +200 self, +201 idx_or_name: int | str, +202 *, +203 header_row: int | None = 0, +204 column_names: list[str] | None = None, +205 skip_rows: int = 0, +206 n_rows: int | None = None, +207 schema_sample_rows: int | None = 1_000, +208 use_columns: list[str] | list[int] | str | None = None, +209 ) -> ExcelSheet: +210 """Loads a sheet by name if a string is passed or by index if an integer is passed. +211 +212 See `load_sheet_by_idx` and `load_sheet_by_name` for parameter documentation. +213 """ +214 return ( +215 self.load_sheet_by_idx( +216 idx_or_name, +217 header_row=header_row, +218 column_names=column_names, +219 skip_rows=skip_rows, +220 n_rows=n_rows, +221 schema_sample_rows=schema_sample_rows, +222 use_columns=use_columns, +223 ) +224 if isinstance(idx_or_name, int) +225 else self.load_sheet_by_name( +226 idx_or_name, +227 header_row=header_row, +228 column_names=column_names, +229 skip_rows=skip_rows, +230 n_rows=n_rows, +231 schema_sample_rows=schema_sample_rows, +232 use_columns=use_columns, +233 ) +234 ) +235 +236 def __repr__(self) -> str: +237 return self._reader.__repr__() +238 239 -240 -241def read_excel(path: Path | str) -> ExcelReader: -242 """Opens and loads an excel file. -243 -244 :param path: The path to the file -245 """ -246 return ExcelReader(_read_excel(expanduser(path))) -247 +240def read_excel(source: Path | str | bytes) -> ExcelReader: +241 """Opens and loads an excel file. +242 +243 :param source: The path to a file or its content as bytes +244 """ +245 if isinstance(source, (str, Path)): +246 source = expanduser(source) +247 return ExcelReader(_read_excel(source)) 248 -249__all__ = ( -250 "__version__", -251 "read_excel", -252 "ExcelReader", -253 "ExcelSheet", -254 "FastExcelError", -255 "CannotRetrieveCellDataError", -256 "CalamineCellError", -257 "CalamineError", -258 "SheetNotFoundError", -259 "ColumnNotFoundError", -260 "ArrowError", -261 "InvalidParametersError", -262 "UnsupportedColumnTypeCombinationError", -263) +249 +250__all__ = ( +251 "__version__", +252 "read_excel", +253 "ExcelReader", +254 "ExcelSheet", +255 "FastExcelError", +256 "CannotRetrieveCellDataError", +257 "CalamineCellError", +258 "CalamineError", +259 "SheetNotFoundError", +260 "ColumnNotFoundError", +261 "ArrowError", +262 "InvalidParametersError", +263 "UnsupportedColumnTypeCombinationError", +264) @@ -445,18 +446,20 @@

def - read_excel(path: pathlib.Path | str) -> ExcelReader: + read_excel(source: pathlib.Path | str | bytes) -> ExcelReader:
-
242def read_excel(path: Path | str) -> ExcelReader:
-243    """Opens and loads an excel file.
-244
-245    :param path: The path to the file
-246    """
-247    return ExcelReader(_read_excel(expanduser(path)))
+            
241def read_excel(source: Path | str | bytes) -> ExcelReader:
+242    """Opens and loads an excel file.
+243
+244    :param source: The path to a file or its content as bytes
+245    """
+246    if isinstance(source, (str, Path)):
+247        source = expanduser(source)
+248    return ExcelReader(_read_excel(source))
 
@@ -465,7 +468,7 @@

Parameters
    -
  • path: The path to the file
  • +
  • source: The path to a file or its content as bytes
@@ -482,150 +485,150 @@

Parameters
-
 96class ExcelReader:
- 97    """A class representing an open Excel file and allowing to read its sheets"""
- 98
- 99    def __init__(self, reader: _ExcelReader) -> None:
-100        self._reader = reader
-101
-102    @property
-103    def sheet_names(self) -> list[str]:
-104        """The list of sheet names"""
-105        return self._reader.sheet_names
-106
-107    def load_sheet_by_name(
-108        self,
-109        name: str,
-110        *,
-111        header_row: int | None = 0,
-112        column_names: list[str] | None = None,
-113        skip_rows: int = 0,
-114        n_rows: int | None = None,
-115        schema_sample_rows: int | None = 1_000,
-116        use_columns: list[str] | list[int] | str | None = None,
-117    ) -> ExcelSheet:
-118        """Loads a sheet by name.
-119
-120        :param name: The name of the sheet to load.
-121        :param header_row: The index of the row containing the column labels, default index is 0.
-122                           If `None`, the sheet does not have any column labels.
-123        :param column_names: Overrides headers found in the document.
-124                             If `column_names` is used, `header_row` will be ignored.
-125        :param n_rows: Specifies how many rows should be loaded.
-126                       If `None`, all rows are loaded
-127        :param skip_rows: Specifies how many rows should be skipped after the header.
-128                          If `header_row` is `None`, it skips the number of rows from the
-129                          start of the sheet.
-130        :param schema_sample_rows: Specifies how many rows should be used to determine
-131                                   the dtype of a column.
-132                                   If `None`, all rows will be used.
-133        :param use_columns: Specifies the columns to use. Can either be:
-134                            - `None` to select all columns
-135                            - a list of strings, the column names
-136                            - a list of ints, the column indices (starting at 0)
-137                            - a string, a comma separated list of Excel column letters and column
-138                              ranges (e.g. `“A:E”` or `“A,C,E:F”`, which would result in
-139                              `A,B,C,D,E` and `A,C,E,F`)
-140        """
-141        return ExcelSheet(
-142            self._reader.load_sheet_by_name(
-143                name,
-144                header_row=header_row,
-145                column_names=column_names,
-146                skip_rows=skip_rows,
-147                n_rows=n_rows,
-148                schema_sample_rows=schema_sample_rows,
-149                use_columns=use_columns,
-150            )
-151        )
-152
-153    def load_sheet_by_idx(
-154        self,
-155        idx: int,
-156        *,
-157        header_row: int | None = 0,
-158        column_names: list[str] | None = None,
-159        skip_rows: int = 0,
-160        n_rows: int | None = None,
-161        schema_sample_rows: int | None = 1_000,
-162        use_columns: list[str] | list[int] | str | None = None,
-163    ) -> ExcelSheet:
-164        """Loads a sheet by index.
-165
-166        :param idx: The index (starting at 0) of the sheet to load.
-167        :param header_row: The index of the row containing the column labels, default index is 0.
-168                           If `None`, the sheet does not have any column labels.
-169        :param column_names: Overrides headers found in the document.
-170                             If `column_names` is used, `header_row` will be ignored.
-171        :param n_rows: Specifies how many rows should be loaded.
-172                       If `None`, all rows are loaded
-173        :param skip_rows: Specifies how many rows should be skipped after the header.
-174                          If `header_row` is `None`, it skips the number of rows from the
-175                          start of the sheet.
-176        :param schema_sample_rows: Specifies how many rows should be used to determine
-177                                   the dtype of a column.
-178                                   If `None`, all rows will be used.
-179        :param use_columns: Specifies the columns to use. Can either be:
-180                            - `None` to select all columns
-181                            - a list of strings, the column names
-182                            - a list of ints, the column indices (starting at 0)
-183                            - a string, a comma separated list of Excel column letters and column
-184                              ranges (e.g. `“A:E”` or `“A,C,E:F”`, which would result in
-185                              `A,B,C,D,E` and `A,C,E,F`)
-186        """
-187        if idx < 0:
-188            raise ValueError(f"Expected idx to be > 0, got {idx}")
-189        return ExcelSheet(
-190            self._reader.load_sheet_by_idx(
-191                idx,
-192                header_row=header_row,
-193                column_names=column_names,
-194                skip_rows=skip_rows,
-195                n_rows=n_rows,
-196                schema_sample_rows=schema_sample_rows,
-197                use_columns=use_columns,
-198            )
-199        )
-200
-201    def load_sheet(
-202        self,
-203        idx_or_name: int | str,
-204        *,
-205        header_row: int | None = 0,
-206        column_names: list[str] | None = None,
-207        skip_rows: int = 0,
-208        n_rows: int | None = None,
-209        schema_sample_rows: int | None = 1_000,
-210        use_columns: list[str] | list[int] | str | None = None,
-211    ) -> ExcelSheet:
-212        """Loads a sheet by name if a string is passed or by index if an integer is passed.
-213
-214        See `load_sheet_by_idx` and `load_sheet_by_name` for parameter documentation.
-215        """
-216        return (
-217            self.load_sheet_by_idx(
-218                idx_or_name,
-219                header_row=header_row,
-220                column_names=column_names,
-221                skip_rows=skip_rows,
-222                n_rows=n_rows,
-223                schema_sample_rows=schema_sample_rows,
-224                use_columns=use_columns,
-225            )
-226            if isinstance(idx_or_name, int)
-227            else self.load_sheet_by_name(
-228                idx_or_name,
-229                header_row=header_row,
-230                column_names=column_names,
-231                skip_rows=skip_rows,
-232                n_rows=n_rows,
-233                schema_sample_rows=schema_sample_rows,
-234                use_columns=use_columns,
-235            )
-236        )
-237
-238    def __repr__(self) -> str:
-239        return self._reader.__repr__()
+            
 95class ExcelReader:
+ 96    """A class representing an open Excel file and allowing to read its sheets"""
+ 97
+ 98    def __init__(self, reader: _ExcelReader) -> None:
+ 99        self._reader = reader
+100
+101    @property
+102    def sheet_names(self) -> list[str]:
+103        """The list of sheet names"""
+104        return self._reader.sheet_names
+105
+106    def load_sheet_by_name(
+107        self,
+108        name: str,
+109        *,
+110        header_row: int | None = 0,
+111        column_names: list[str] | None = None,
+112        skip_rows: int = 0,
+113        n_rows: int | None = None,
+114        schema_sample_rows: int | None = 1_000,
+115        use_columns: list[str] | list[int] | str | None = None,
+116    ) -> ExcelSheet:
+117        """Loads a sheet by name.
+118
+119        :param name: The name of the sheet to load.
+120        :param header_row: The index of the row containing the column labels, default index is 0.
+121                           If `None`, the sheet does not have any column labels.
+122        :param column_names: Overrides headers found in the document.
+123                             If `column_names` is used, `header_row` will be ignored.
+124        :param n_rows: Specifies how many rows should be loaded.
+125                       If `None`, all rows are loaded
+126        :param skip_rows: Specifies how many rows should be skipped after the header.
+127                          If `header_row` is `None`, it skips the number of rows from the
+128                          start of the sheet.
+129        :param schema_sample_rows: Specifies how many rows should be used to determine
+130                                   the dtype of a column.
+131                                   If `None`, all rows will be used.
+132        :param use_columns: Specifies the columns to use. Can either be:
+133                            - `None` to select all columns
+134                            - a list of strings, the column names
+135                            - a list of ints, the column indices (starting at 0)
+136                            - a string, a comma separated list of Excel column letters and column
+137                              ranges (e.g. `“A:E”` or `“A,C,E:F”`, which would result in
+138                              `A,B,C,D,E` and `A,C,E,F`)
+139        """
+140        return ExcelSheet(
+141            self._reader.load_sheet_by_name(
+142                name,
+143                header_row=header_row,
+144                column_names=column_names,
+145                skip_rows=skip_rows,
+146                n_rows=n_rows,
+147                schema_sample_rows=schema_sample_rows,
+148                use_columns=use_columns,
+149            )
+150        )
+151
+152    def load_sheet_by_idx(
+153        self,
+154        idx: int,
+155        *,
+156        header_row: int | None = 0,
+157        column_names: list[str] | None = None,
+158        skip_rows: int = 0,
+159        n_rows: int | None = None,
+160        schema_sample_rows: int | None = 1_000,
+161        use_columns: list[str] | list[int] | str | None = None,
+162    ) -> ExcelSheet:
+163        """Loads a sheet by index.
+164
+165        :param idx: The index (starting at 0) of the sheet to load.
+166        :param header_row: The index of the row containing the column labels, default index is 0.
+167                           If `None`, the sheet does not have any column labels.
+168        :param column_names: Overrides headers found in the document.
+169                             If `column_names` is used, `header_row` will be ignored.
+170        :param n_rows: Specifies how many rows should be loaded.
+171                       If `None`, all rows are loaded
+172        :param skip_rows: Specifies how many rows should be skipped after the header.
+173                          If `header_row` is `None`, it skips the number of rows from the
+174                          start of the sheet.
+175        :param schema_sample_rows: Specifies how many rows should be used to determine
+176                                   the dtype of a column.
+177                                   If `None`, all rows will be used.
+178        :param use_columns: Specifies the columns to use. Can either be:
+179                            - `None` to select all columns
+180                            - a list of strings, the column names
+181                            - a list of ints, the column indices (starting at 0)
+182                            - a string, a comma separated list of Excel column letters and column
+183                              ranges (e.g. `“A:E”` or `“A,C,E:F”`, which would result in
+184                              `A,B,C,D,E` and `A,C,E,F`)
+185        """
+186        if idx < 0:
+187            raise ValueError(f"Expected idx to be > 0, got {idx}")
+188        return ExcelSheet(
+189            self._reader.load_sheet_by_idx(
+190                idx,
+191                header_row=header_row,
+192                column_names=column_names,
+193                skip_rows=skip_rows,
+194                n_rows=n_rows,
+195                schema_sample_rows=schema_sample_rows,
+196                use_columns=use_columns,
+197            )
+198        )
+199
+200    def load_sheet(
+201        self,
+202        idx_or_name: int | str,
+203        *,
+204        header_row: int | None = 0,
+205        column_names: list[str] | None = None,
+206        skip_rows: int = 0,
+207        n_rows: int | None = None,
+208        schema_sample_rows: int | None = 1_000,
+209        use_columns: list[str] | list[int] | str | None = None,
+210    ) -> ExcelSheet:
+211        """Loads a sheet by name if a string is passed or by index if an integer is passed.
+212
+213        See `load_sheet_by_idx` and `load_sheet_by_name` for parameter documentation.
+214        """
+215        return (
+216            self.load_sheet_by_idx(
+217                idx_or_name,
+218                header_row=header_row,
+219                column_names=column_names,
+220                skip_rows=skip_rows,
+221                n_rows=n_rows,
+222                schema_sample_rows=schema_sample_rows,
+223                use_columns=use_columns,
+224            )
+225            if isinstance(idx_or_name, int)
+226            else self.load_sheet_by_name(
+227                idx_or_name,
+228                header_row=header_row,
+229                column_names=column_names,
+230                skip_rows=skip_rows,
+231                n_rows=n_rows,
+232                schema_sample_rows=schema_sample_rows,
+233                use_columns=use_columns,
+234            )
+235        )
+236
+237    def __repr__(self) -> str:
+238        return self._reader.__repr__()
 
@@ -643,8 +646,8 @@
Parameters
-
 99    def __init__(self, reader: _ExcelReader) -> None:
-100        self._reader = reader
+            
98    def __init__(self, reader: _ExcelReader) -> None:
+99        self._reader = reader
 
@@ -660,10 +663,10 @@
Parameters
-
102    @property
-103    def sheet_names(self) -> list[str]:
-104        """The list of sheet names"""
-105        return self._reader.sheet_names
+            
101    @property
+102    def sheet_names(self) -> list[str]:
+103        """The list of sheet names"""
+104        return self._reader.sheet_names
 
@@ -683,51 +686,51 @@
Parameters
-
107    def load_sheet_by_name(
-108        self,
-109        name: str,
-110        *,
-111        header_row: int | None = 0,
-112        column_names: list[str] | None = None,
-113        skip_rows: int = 0,
-114        n_rows: int | None = None,
-115        schema_sample_rows: int | None = 1_000,
-116        use_columns: list[str] | list[int] | str | None = None,
-117    ) -> ExcelSheet:
-118        """Loads a sheet by name.
-119
-120        :param name: The name of the sheet to load.
-121        :param header_row: The index of the row containing the column labels, default index is 0.
-122                           If `None`, the sheet does not have any column labels.
-123        :param column_names: Overrides headers found in the document.
-124                             If `column_names` is used, `header_row` will be ignored.
-125        :param n_rows: Specifies how many rows should be loaded.
-126                       If `None`, all rows are loaded
-127        :param skip_rows: Specifies how many rows should be skipped after the header.
-128                          If `header_row` is `None`, it skips the number of rows from the
-129                          start of the sheet.
-130        :param schema_sample_rows: Specifies how many rows should be used to determine
-131                                   the dtype of a column.
-132                                   If `None`, all rows will be used.
-133        :param use_columns: Specifies the columns to use. Can either be:
-134                            - `None` to select all columns
-135                            - a list of strings, the column names
-136                            - a list of ints, the column indices (starting at 0)
-137                            - a string, a comma separated list of Excel column letters and column
-138                              ranges (e.g. `“A:E”` or `“A,C,E:F”`, which would result in
-139                              `A,B,C,D,E` and `A,C,E,F`)
-140        """
-141        return ExcelSheet(
-142            self._reader.load_sheet_by_name(
-143                name,
-144                header_row=header_row,
-145                column_names=column_names,
-146                skip_rows=skip_rows,
-147                n_rows=n_rows,
-148                schema_sample_rows=schema_sample_rows,
-149                use_columns=use_columns,
-150            )
-151        )
+            
106    def load_sheet_by_name(
+107        self,
+108        name: str,
+109        *,
+110        header_row: int | None = 0,
+111        column_names: list[str] | None = None,
+112        skip_rows: int = 0,
+113        n_rows: int | None = None,
+114        schema_sample_rows: int | None = 1_000,
+115        use_columns: list[str] | list[int] | str | None = None,
+116    ) -> ExcelSheet:
+117        """Loads a sheet by name.
+118
+119        :param name: The name of the sheet to load.
+120        :param header_row: The index of the row containing the column labels, default index is 0.
+121                           If `None`, the sheet does not have any column labels.
+122        :param column_names: Overrides headers found in the document.
+123                             If `column_names` is used, `header_row` will be ignored.
+124        :param n_rows: Specifies how many rows should be loaded.
+125                       If `None`, all rows are loaded
+126        :param skip_rows: Specifies how many rows should be skipped after the header.
+127                          If `header_row` is `None`, it skips the number of rows from the
+128                          start of the sheet.
+129        :param schema_sample_rows: Specifies how many rows should be used to determine
+130                                   the dtype of a column.
+131                                   If `None`, all rows will be used.
+132        :param use_columns: Specifies the columns to use. Can either be:
+133                            - `None` to select all columns
+134                            - a list of strings, the column names
+135                            - a list of ints, the column indices (starting at 0)
+136                            - a string, a comma separated list of Excel column letters and column
+137                              ranges (e.g. `“A:E”` or `“A,C,E:F”`, which would result in
+138                              `A,B,C,D,E` and `A,C,E,F`)
+139        """
+140        return ExcelSheet(
+141            self._reader.load_sheet_by_name(
+142                name,
+143                header_row=header_row,
+144                column_names=column_names,
+145                skip_rows=skip_rows,
+146                n_rows=n_rows,
+147                schema_sample_rows=schema_sample_rows,
+148                use_columns=use_columns,
+149            )
+150        )
 
@@ -774,53 +777,53 @@
Parameters
-
153    def load_sheet_by_idx(
-154        self,
-155        idx: int,
-156        *,
-157        header_row: int | None = 0,
-158        column_names: list[str] | None = None,
-159        skip_rows: int = 0,
-160        n_rows: int | None = None,
-161        schema_sample_rows: int | None = 1_000,
-162        use_columns: list[str] | list[int] | str | None = None,
-163    ) -> ExcelSheet:
-164        """Loads a sheet by index.
-165
-166        :param idx: The index (starting at 0) of the sheet to load.
-167        :param header_row: The index of the row containing the column labels, default index is 0.
-168                           If `None`, the sheet does not have any column labels.
-169        :param column_names: Overrides headers found in the document.
-170                             If `column_names` is used, `header_row` will be ignored.
-171        :param n_rows: Specifies how many rows should be loaded.
-172                       If `None`, all rows are loaded
-173        :param skip_rows: Specifies how many rows should be skipped after the header.
-174                          If `header_row` is `None`, it skips the number of rows from the
-175                          start of the sheet.
-176        :param schema_sample_rows: Specifies how many rows should be used to determine
-177                                   the dtype of a column.
-178                                   If `None`, all rows will be used.
-179        :param use_columns: Specifies the columns to use. Can either be:
-180                            - `None` to select all columns
-181                            - a list of strings, the column names
-182                            - a list of ints, the column indices (starting at 0)
-183                            - a string, a comma separated list of Excel column letters and column
-184                              ranges (e.g. `“A:E”` or `“A,C,E:F”`, which would result in
-185                              `A,B,C,D,E` and `A,C,E,F`)
-186        """
-187        if idx < 0:
-188            raise ValueError(f"Expected idx to be > 0, got {idx}")
-189        return ExcelSheet(
-190            self._reader.load_sheet_by_idx(
-191                idx,
-192                header_row=header_row,
-193                column_names=column_names,
-194                skip_rows=skip_rows,
-195                n_rows=n_rows,
-196                schema_sample_rows=schema_sample_rows,
-197                use_columns=use_columns,
-198            )
-199        )
+            
152    def load_sheet_by_idx(
+153        self,
+154        idx: int,
+155        *,
+156        header_row: int | None = 0,
+157        column_names: list[str] | None = None,
+158        skip_rows: int = 0,
+159        n_rows: int | None = None,
+160        schema_sample_rows: int | None = 1_000,
+161        use_columns: list[str] | list[int] | str | None = None,
+162    ) -> ExcelSheet:
+163        """Loads a sheet by index.
+164
+165        :param idx: The index (starting at 0) of the sheet to load.
+166        :param header_row: The index of the row containing the column labels, default index is 0.
+167                           If `None`, the sheet does not have any column labels.
+168        :param column_names: Overrides headers found in the document.
+169                             If `column_names` is used, `header_row` will be ignored.
+170        :param n_rows: Specifies how many rows should be loaded.
+171                       If `None`, all rows are loaded
+172        :param skip_rows: Specifies how many rows should be skipped after the header.
+173                          If `header_row` is `None`, it skips the number of rows from the
+174                          start of the sheet.
+175        :param schema_sample_rows: Specifies how many rows should be used to determine
+176                                   the dtype of a column.
+177                                   If `None`, all rows will be used.
+178        :param use_columns: Specifies the columns to use. Can either be:
+179                            - `None` to select all columns
+180                            - a list of strings, the column names
+181                            - a list of ints, the column indices (starting at 0)
+182                            - a string, a comma separated list of Excel column letters and column
+183                              ranges (e.g. `“A:E”` or `“A,C,E:F”`, which would result in
+184                              `A,B,C,D,E` and `A,C,E,F`)
+185        """
+186        if idx < 0:
+187            raise ValueError(f"Expected idx to be > 0, got {idx}")
+188        return ExcelSheet(
+189            self._reader.load_sheet_by_idx(
+190                idx,
+191                header_row=header_row,
+192                column_names=column_names,
+193                skip_rows=skip_rows,
+194                n_rows=n_rows,
+195                schema_sample_rows=schema_sample_rows,
+196                use_columns=use_columns,
+197            )
+198        )
 
@@ -867,42 +870,42 @@
Parameters
-
201    def load_sheet(
-202        self,
-203        idx_or_name: int | str,
-204        *,
-205        header_row: int | None = 0,
-206        column_names: list[str] | None = None,
-207        skip_rows: int = 0,
-208        n_rows: int | None = None,
-209        schema_sample_rows: int | None = 1_000,
-210        use_columns: list[str] | list[int] | str | None = None,
-211    ) -> ExcelSheet:
-212        """Loads a sheet by name if a string is passed or by index if an integer is passed.
-213
-214        See `load_sheet_by_idx` and `load_sheet_by_name` for parameter documentation.
-215        """
-216        return (
-217            self.load_sheet_by_idx(
-218                idx_or_name,
-219                header_row=header_row,
-220                column_names=column_names,
-221                skip_rows=skip_rows,
-222                n_rows=n_rows,
-223                schema_sample_rows=schema_sample_rows,
-224                use_columns=use_columns,
-225            )
-226            if isinstance(idx_or_name, int)
-227            else self.load_sheet_by_name(
-228                idx_or_name,
-229                header_row=header_row,
-230                column_names=column_names,
-231                skip_rows=skip_rows,
-232                n_rows=n_rows,
-233                schema_sample_rows=schema_sample_rows,
-234                use_columns=use_columns,
-235            )
-236        )
+            
200    def load_sheet(
+201        self,
+202        idx_or_name: int | str,
+203        *,
+204        header_row: int | None = 0,
+205        column_names: list[str] | None = None,
+206        skip_rows: int = 0,
+207        n_rows: int | None = None,
+208        schema_sample_rows: int | None = 1_000,
+209        use_columns: list[str] | list[int] | str | None = None,
+210    ) -> ExcelSheet:
+211        """Loads a sheet by name if a string is passed or by index if an integer is passed.
+212
+213        See `load_sheet_by_idx` and `load_sheet_by_name` for parameter documentation.
+214        """
+215        return (
+216            self.load_sheet_by_idx(
+217                idx_or_name,
+218                header_row=header_row,
+219                column_names=column_names,
+220                skip_rows=skip_rows,
+221                n_rows=n_rows,
+222                schema_sample_rows=schema_sample_rows,
+223                use_columns=use_columns,
+224            )
+225            if isinstance(idx_or_name, int)
+226            else self.load_sheet_by_name(
+227                idx_or_name,
+228                header_row=header_row,
+229                column_names=column_names,
+230                skip_rows=skip_rows,
+231                n_rows=n_rows,
+232                schema_sample_rows=schema_sample_rows,
+233                use_columns=use_columns,
+234            )
+235        )
 
@@ -925,67 +928,67 @@
Parameters
-
33class ExcelSheet:
-34    """A class representing a single sheet in an Excel File"""
-35
-36    def __init__(self, sheet: _ExcelSheet) -> None:
-37        self._sheet = sheet
-38
-39    @property
-40    def name(self) -> str:
-41        """The name of the sheet"""
-42        return self._sheet.name
-43
-44    @property
-45    def width(self) -> int:
-46        """The sheet's width"""
-47        return self._sheet.width
-48
-49    @property
-50    def height(self) -> int:
-51        """The sheet's height, with `skip_rows` and `nrows` applied"""
-52        return self._sheet.height
-53
-54    @property
-55    def total_height(self) -> int:
-56        """The sheet's total height"""
-57        return self._sheet.total_height
-58
-59    @property
-60    def selected_columns(self) -> list[str] | list[int] | None:
-61        """The sheet's selected columns"""
-62        return self._sheet.selected_columns
-63
-64    @property
-65    def available_columns(self) -> list[str]:
-66        """The columns available for the given sheet"""
-67        return self._sheet.available_columns
-68
-69    def to_arrow(self) -> pa.RecordBatch:
-70        """Converts the sheet to a pyarrow `RecordBatch`"""
-71        return self._sheet.to_arrow()
-72
-73    def to_pandas(self) -> "pd.DataFrame":
-74        """Converts the sheet to a Pandas `DataFrame`.
-75
-76        Requires the `pandas` extra to be installed.
-77        """
-78        # We know for sure that the sheet will yield exactly one RecordBatch
-79        return self.to_arrow().to_pandas()
-80
-81    def to_polars(self) -> "pl.DataFrame":
-82        """Converts the sheet to a Polars `DataFrame`.
-83
-84        Requires the `polars` extra to be installed.
-85        """
-86        import polars as pl
-87
-88        df = pl.from_arrow(data=self.to_arrow())
-89        assert isinstance(df, pl.DataFrame)
-90        return df
-91
-92    def __repr__(self) -> str:
-93        return self._sheet.__repr__()
+            
32class ExcelSheet:
+33    """A class representing a single sheet in an Excel File"""
+34
+35    def __init__(self, sheet: _ExcelSheet) -> None:
+36        self._sheet = sheet
+37
+38    @property
+39    def name(self) -> str:
+40        """The name of the sheet"""
+41        return self._sheet.name
+42
+43    @property
+44    def width(self) -> int:
+45        """The sheet's width"""
+46        return self._sheet.width
+47
+48    @property
+49    def height(self) -> int:
+50        """The sheet's height, with `skip_rows` and `nrows` applied"""
+51        return self._sheet.height
+52
+53    @property
+54    def total_height(self) -> int:
+55        """The sheet's total height"""
+56        return self._sheet.total_height
+57
+58    @property
+59    def selected_columns(self) -> list[str] | list[int] | None:
+60        """The sheet's selected columns"""
+61        return self._sheet.selected_columns
+62
+63    @property
+64    def available_columns(self) -> list[str]:
+65        """The columns available for the given sheet"""
+66        return self._sheet.available_columns
+67
+68    def to_arrow(self) -> pa.RecordBatch:
+69        """Converts the sheet to a pyarrow `RecordBatch`"""
+70        return self._sheet.to_arrow()
+71
+72    def to_pandas(self) -> "pd.DataFrame":
+73        """Converts the sheet to a Pandas `DataFrame`.
+74
+75        Requires the `pandas` extra to be installed.
+76        """
+77        # We know for sure that the sheet will yield exactly one RecordBatch
+78        return self.to_arrow().to_pandas()
+79
+80    def to_polars(self) -> "pl.DataFrame":
+81        """Converts the sheet to a Polars `DataFrame`.
+82
+83        Requires the `polars` extra to be installed.
+84        """
+85        import polars as pl
+86
+87        df = pl.from_arrow(data=self.to_arrow())
+88        assert isinstance(df, pl.DataFrame)
+89        return df
+90
+91    def __repr__(self) -> str:
+92        return self._sheet.__repr__()
 
@@ -1003,8 +1006,8 @@
Parameters
-
36    def __init__(self, sheet: _ExcelSheet) -> None:
-37        self._sheet = sheet
+            
35    def __init__(self, sheet: _ExcelSheet) -> None:
+36        self._sheet = sheet
 
@@ -1020,10 +1023,10 @@
Parameters
-
39    @property
-40    def name(self) -> str:
-41        """The name of the sheet"""
-42        return self._sheet.name
+            
38    @property
+39    def name(self) -> str:
+40        """The name of the sheet"""
+41        return self._sheet.name
 
@@ -1041,10 +1044,10 @@
Parameters
-
44    @property
-45    def width(self) -> int:
-46        """The sheet's width"""
-47        return self._sheet.width
+            
43    @property
+44    def width(self) -> int:
+45        """The sheet's width"""
+46        return self._sheet.width
 
@@ -1062,10 +1065,10 @@
Parameters
-
49    @property
-50    def height(self) -> int:
-51        """The sheet's height, with `skip_rows` and `nrows` applied"""
-52        return self._sheet.height
+            
48    @property
+49    def height(self) -> int:
+50        """The sheet's height, with `skip_rows` and `nrows` applied"""
+51        return self._sheet.height
 
@@ -1083,10 +1086,10 @@
Parameters
-
54    @property
-55    def total_height(self) -> int:
-56        """The sheet's total height"""
-57        return self._sheet.total_height
+            
53    @property
+54    def total_height(self) -> int:
+55        """The sheet's total height"""
+56        return self._sheet.total_height
 
@@ -1104,10 +1107,10 @@
Parameters
-
59    @property
-60    def selected_columns(self) -> list[str] | list[int] | None:
-61        """The sheet's selected columns"""
-62        return self._sheet.selected_columns
+            
58    @property
+59    def selected_columns(self) -> list[str] | list[int] | None:
+60        """The sheet's selected columns"""
+61        return self._sheet.selected_columns
 
@@ -1125,10 +1128,10 @@
Parameters
-
64    @property
-65    def available_columns(self) -> list[str]:
-66        """The columns available for the given sheet"""
-67        return self._sheet.available_columns
+            
63    @property
+64    def available_columns(self) -> list[str]:
+65        """The columns available for the given sheet"""
+66        return self._sheet.available_columns
 
@@ -1148,9 +1151,9 @@
Parameters
-
69    def to_arrow(self) -> pa.RecordBatch:
-70        """Converts the sheet to a pyarrow `RecordBatch`"""
-71        return self._sheet.to_arrow()
+            
68    def to_arrow(self) -> pa.RecordBatch:
+69        """Converts the sheet to a pyarrow `RecordBatch`"""
+70        return self._sheet.to_arrow()
 
@@ -1170,13 +1173,13 @@
Parameters
-
73    def to_pandas(self) -> "pd.DataFrame":
-74        """Converts the sheet to a Pandas `DataFrame`.
-75
-76        Requires the `pandas` extra to be installed.
-77        """
-78        # We know for sure that the sheet will yield exactly one RecordBatch
-79        return self.to_arrow().to_pandas()
+            
72    def to_pandas(self) -> "pd.DataFrame":
+73        """Converts the sheet to a Pandas `DataFrame`.
+74
+75        Requires the `pandas` extra to be installed.
+76        """
+77        # We know for sure that the sheet will yield exactly one RecordBatch
+78        return self.to_arrow().to_pandas()
 
@@ -1198,16 +1201,16 @@
Parameters
-
81    def to_polars(self) -> "pl.DataFrame":
-82        """Converts the sheet to a Polars `DataFrame`.
-83
-84        Requires the `polars` extra to be installed.
-85        """
-86        import polars as pl
-87
-88        df = pl.from_arrow(data=self.to_arrow())
-89        assert isinstance(df, pl.DataFrame)
-90        return df
+            
80    def to_polars(self) -> "pl.DataFrame":
+81        """Converts the sheet to a Polars `DataFrame`.
+82
+83        Requires the `polars` extra to be installed.
+84        """
+85        import polars as pl
+86
+87        df = pl.from_arrow(data=self.to_arrow())
+88        assert isinstance(df, pl.DataFrame)
+89        return df
 
diff --git a/docs/search.js b/docs/search.js index 74fc0fb..3c57017 100644 --- a/docs/search.js +++ b/docs/search.js @@ -1,6 +1,6 @@ window.pdocSearch = (function(){ /** elasticlunr - http://weixsong.github.io * Copyright (C) 2017 Oliver Nightingale * Copyright (C) 2017 Wei Song * MIT Licensed */!function(){function e(e){if(null===e||"object"!=typeof e)return e;var t=e.constructor();for(var n in e)e.hasOwnProperty(n)&&(t[n]=e[n]);return t}var t=function(e){var n=new t.Index;return n.pipeline.add(t.trimmer,t.stopWordFilter,t.stemmer),e&&e.call(n,n),n};t.version="0.9.5",lunr=t,t.utils={},t.utils.warn=function(e){return function(t){e.console&&console.warn&&console.warn(t)}}(this),t.utils.toString=function(e){return void 0===e||null===e?"":e.toString()},t.EventEmitter=function(){this.events={}},t.EventEmitter.prototype.addListener=function(){var e=Array.prototype.slice.call(arguments),t=e.pop(),n=e;if("function"!=typeof t)throw new TypeError("last argument must be a function");n.forEach(function(e){this.hasHandler(e)||(this.events[e]=[]),this.events[e].push(t)},this)},t.EventEmitter.prototype.removeListener=function(e,t){if(this.hasHandler(e)){var n=this.events[e].indexOf(t);-1!==n&&(this.events[e].splice(n,1),0==this.events[e].length&&delete this.events[e])}},t.EventEmitter.prototype.emit=function(e){if(this.hasHandler(e)){var t=Array.prototype.slice.call(arguments,1);this.events[e].forEach(function(e){e.apply(void 0,t)},this)}},t.EventEmitter.prototype.hasHandler=function(e){return e in this.events},t.tokenizer=function(e){if(!arguments.length||null===e||void 0===e)return[];if(Array.isArray(e)){var n=e.filter(function(e){return null===e||void 0===e?!1:!0});n=n.map(function(e){return t.utils.toString(e).toLowerCase()});var i=[];return n.forEach(function(e){var n=e.split(t.tokenizer.seperator);i=i.concat(n)},this),i}return e.toString().trim().toLowerCase().split(t.tokenizer.seperator)},t.tokenizer.defaultSeperator=/[\s\-]+/,t.tokenizer.seperator=t.tokenizer.defaultSeperator,t.tokenizer.setSeperator=function(e){null!==e&&void 0!==e&&"object"==typeof e&&(t.tokenizer.seperator=e)},t.tokenizer.resetSeperator=function(){t.tokenizer.seperator=t.tokenizer.defaultSeperator},t.tokenizer.getSeperator=function(){return t.tokenizer.seperator},t.Pipeline=function(){this._queue=[]},t.Pipeline.registeredFunctions={},t.Pipeline.registerFunction=function(e,n){n in t.Pipeline.registeredFunctions&&t.utils.warn("Overwriting existing registered function: "+n),e.label=n,t.Pipeline.registeredFunctions[n]=e},t.Pipeline.getRegisteredFunction=function(e){return e in t.Pipeline.registeredFunctions!=!0?null:t.Pipeline.registeredFunctions[e]},t.Pipeline.warnIfFunctionNotRegistered=function(e){var n=e.label&&e.label in this.registeredFunctions;n||t.utils.warn("Function is not registered with pipeline. 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\n"}, "fastexcel.read_excel": {"fullname": "fastexcel.read_excel", "modulename": "fastexcel", "qualname": "read_excel", "kind": "function", "doc": "

Opens and loads an excel file.

\n\n
Parameters
\n\n
    \n
  • path: The path to the file
  • \n
\n", "signature": "(path: pathlib.Path | str) -> fastexcel.ExcelReader:", "funcdef": "def"}, "fastexcel.ExcelReader": {"fullname": "fastexcel.ExcelReader", "modulename": "fastexcel", "qualname": "ExcelReader", "kind": "class", "doc": "

A class representing an open Excel file and allowing to read its sheets

\n"}, "fastexcel.ExcelReader.__init__": {"fullname": "fastexcel.ExcelReader.__init__", "modulename": "fastexcel", "qualname": "ExcelReader.__init__", "kind": "function", "doc": "

\n", "signature": "(reader: _ExcelReader)"}, "fastexcel.ExcelReader.sheet_names": {"fullname": "fastexcel.ExcelReader.sheet_names", "modulename": "fastexcel", "qualname": "ExcelReader.sheet_names", "kind": "variable", "doc": "

The list of sheet names

\n", "annotation": ": list[str]"}, "fastexcel.ExcelReader.load_sheet_by_name": {"fullname": "fastexcel.ExcelReader.load_sheet_by_name", "modulename": "fastexcel", "qualname": "ExcelReader.load_sheet_by_name", "kind": "function", "doc": "

Loads a sheet by name.

\n\n
Parameters
\n\n
    \n
  • name: The name of the sheet to load.
  • \n
  • header_row: The index of the row containing the column labels, default index is 0.\nIf None, the sheet does not have any column labels.
  • \n
  • column_names: Overrides headers found in the document.\nIf column_names is used, header_row will be ignored.
  • \n
  • n_rows: Specifies how many rows should be loaded.\nIf None, all rows are loaded
  • \n
  • skip_rows: Specifies how many rows should be skipped after the header.\nIf header_row is None, it skips the number of rows from the\nstart of the sheet.
  • \n
  • schema_sample_rows: Specifies how many rows should be used to determine\nthe dtype of a column.\nIf None, all rows will be used.
  • \n
  • use_columns: Specifies the columns to use. Can either be: \n
      \n
    • None to select all columns
    • \n
    • a list of strings, the column names
    • \n
    • a list of ints, the column indices (starting at 0)
    • \n
    • a string, a comma separated list of Excel column letters and column\nranges (e.g. \u201cA:E\u201d or \u201cA,C,E:F\u201d, which would result in\nA,B,C,D,E and A,C,E,F)
    • \n
  • \n
\n", "signature": "(\tself,\tname: str,\t*,\theader_row: int | None = 0,\tcolumn_names: list[str] | None = None,\tskip_rows: int = 0,\tn_rows: int | None = None,\tschema_sample_rows: int | None = 1000,\tuse_columns: list[str] | list[int] | str | None = None) -> fastexcel.ExcelSheet:", "funcdef": "def"}, "fastexcel.ExcelReader.load_sheet_by_idx": {"fullname": "fastexcel.ExcelReader.load_sheet_by_idx", "modulename": "fastexcel", "qualname": "ExcelReader.load_sheet_by_idx", "kind": "function", "doc": "

Loads a sheet by index.

\n\n
Parameters
\n\n
    \n
  • idx: The index (starting at 0) of the sheet to load.
  • \n
  • header_row: The index of the row containing the column labels, default index is 0.\nIf None, the sheet does not have any column labels.
  • \n
  • column_names: Overrides headers found in the document.\nIf column_names is used, header_row will be ignored.
  • \n
  • n_rows: Specifies how many rows should be loaded.\nIf None, all rows are loaded
  • \n
  • skip_rows: Specifies how many rows should be skipped after the header.\nIf header_row is None, it skips the number of rows from the\nstart of the sheet.
  • \n
  • schema_sample_rows: Specifies how many rows should be used to determine\nthe dtype of a column.\nIf None, all rows will be used.
  • \n
  • use_columns: Specifies the columns to use. Can either be: \n
      \n
    • None to select all columns
    • \n
    • a list of strings, the column names
    • \n
    • a list of ints, the column indices (starting at 0)
    • \n
    • a string, a comma separated list of Excel column letters and column\nranges (e.g. \u201cA:E\u201d or \u201cA,C,E:F\u201d, which would result in\nA,B,C,D,E and A,C,E,F)
    • \n
  • \n
\n", "signature": "(\tself,\tidx: int,\t*,\theader_row: int | None = 0,\tcolumn_names: list[str] | None = None,\tskip_rows: int = 0,\tn_rows: int | None = None,\tschema_sample_rows: int | None = 1000,\tuse_columns: list[str] | list[int] | str | None = None) -> fastexcel.ExcelSheet:", "funcdef": "def"}, "fastexcel.ExcelReader.load_sheet": {"fullname": "fastexcel.ExcelReader.load_sheet", "modulename": "fastexcel", "qualname": "ExcelReader.load_sheet", "kind": "function", "doc": "

Loads a sheet by name if a string is passed or by index if an integer is passed.

\n\n

See load_sheet_by_idx and load_sheet_by_name for parameter documentation.

\n", "signature": "(\tself,\tidx_or_name: int | str,\t*,\theader_row: int | None = 0,\tcolumn_names: list[str] | None = None,\tskip_rows: int = 0,\tn_rows: int | None = None,\tschema_sample_rows: int | None = 1000,\tuse_columns: list[str] | list[int] | str | None = None) -> fastexcel.ExcelSheet:", "funcdef": "def"}, "fastexcel.ExcelSheet": {"fullname": "fastexcel.ExcelSheet", "modulename": "fastexcel", "qualname": "ExcelSheet", "kind": "class", "doc": "

A class representing a single sheet in an Excel File

\n"}, "fastexcel.ExcelSheet.__init__": {"fullname": "fastexcel.ExcelSheet.__init__", "modulename": "fastexcel", "qualname": "ExcelSheet.__init__", "kind": "function", "doc": "

\n", "signature": "(sheet: _ExcelSheet)"}, "fastexcel.ExcelSheet.name": {"fullname": "fastexcel.ExcelSheet.name", "modulename": "fastexcel", "qualname": "ExcelSheet.name", "kind": "variable", "doc": "

The name of the sheet

\n", "annotation": ": str"}, "fastexcel.ExcelSheet.width": {"fullname": "fastexcel.ExcelSheet.width", "modulename": "fastexcel", "qualname": "ExcelSheet.width", "kind": "variable", "doc": "

The sheet's width

\n", "annotation": ": int"}, "fastexcel.ExcelSheet.height": {"fullname": "fastexcel.ExcelSheet.height", "modulename": "fastexcel", "qualname": "ExcelSheet.height", "kind": "variable", "doc": "

The sheet's height, with skip_rows and nrows applied

\n", "annotation": ": int"}, "fastexcel.ExcelSheet.total_height": {"fullname": "fastexcel.ExcelSheet.total_height", "modulename": "fastexcel", "qualname": "ExcelSheet.total_height", "kind": "variable", "doc": "

The sheet's total height

\n", "annotation": ": int"}, "fastexcel.ExcelSheet.selected_columns": {"fullname": "fastexcel.ExcelSheet.selected_columns", "modulename": "fastexcel", "qualname": "ExcelSheet.selected_columns", "kind": "variable", "doc": "

The sheet's selected columns

\n", "annotation": ": list[str] | list[int] | None"}, "fastexcel.ExcelSheet.available_columns": {"fullname": "fastexcel.ExcelSheet.available_columns", "modulename": "fastexcel", "qualname": "ExcelSheet.available_columns", "kind": "variable", "doc": "

The columns available for the given sheet

\n", "annotation": ": list[str]"}, "fastexcel.ExcelSheet.to_arrow": {"fullname": "fastexcel.ExcelSheet.to_arrow", "modulename": "fastexcel", "qualname": "ExcelSheet.to_arrow", "kind": "function", "doc": "

Converts the sheet to a pyarrow RecordBatch

\n", "signature": "(self) -> pyarrow.lib.RecordBatch:", "funcdef": "def"}, "fastexcel.ExcelSheet.to_pandas": {"fullname": "fastexcel.ExcelSheet.to_pandas", "modulename": "fastexcel", "qualname": "ExcelSheet.to_pandas", "kind": "function", "doc": "

Converts the sheet to a Pandas DataFrame.

\n\n

Requires the pandas extra to be installed.

\n", "signature": "(self) -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "fastexcel.ExcelSheet.to_polars": {"fullname": "fastexcel.ExcelSheet.to_polars", "modulename": "fastexcel", "qualname": "ExcelSheet.to_polars", "kind": "function", "doc": "

Converts the sheet to a Polars DataFrame.

\n\n

Requires the polars extra to be installed.

\n", "signature": "(self) -> polars.dataframe.frame.DataFrame:", "funcdef": "def"}, "fastexcel.FastExcelError": {"fullname": "fastexcel.FastExcelError", "modulename": "fastexcel", "qualname": "FastExcelError", "kind": "class", "doc": "

The base class for all fastexcel errors

\n", "bases": "builtins.Exception"}, "fastexcel.CannotRetrieveCellDataError": {"fullname": "fastexcel.CannotRetrieveCellDataError", "modulename": "fastexcel", "qualname": "CannotRetrieveCellDataError", "kind": "class", "doc": "

Data for a given cell cannot be retrieved

\n", "bases": "_fastexcel.FastExcelError"}, "fastexcel.CalamineCellError": {"fullname": "fastexcel.CalamineCellError", "modulename": "fastexcel", "qualname": "CalamineCellError", "kind": "class", "doc": "

calamine returned an error regarding the content of the cell

\n", "bases": "_fastexcel.FastExcelError"}, "fastexcel.CalamineError": {"fullname": "fastexcel.CalamineError", "modulename": "fastexcel", "qualname": "CalamineError", "kind": "class", "doc": "

Generic calamine error

\n", "bases": "_fastexcel.FastExcelError"}, "fastexcel.SheetNotFoundError": {"fullname": "fastexcel.SheetNotFoundError", "modulename": "fastexcel", "qualname": "SheetNotFoundError", "kind": "class", "doc": "

Sheet was not found

\n", "bases": "_fastexcel.FastExcelError"}, "fastexcel.ColumnNotFoundError": {"fullname": "fastexcel.ColumnNotFoundError", "modulename": "fastexcel", "qualname": "ColumnNotFoundError", "kind": "class", "doc": "

Column was not found

\n", "bases": "_fastexcel.FastExcelError"}, "fastexcel.ArrowError": {"fullname": "fastexcel.ArrowError", "modulename": "fastexcel", "qualname": "ArrowError", "kind": "class", "doc": "

Generic arrow error

\n", "bases": "_fastexcel.FastExcelError"}, "fastexcel.InvalidParametersError": {"fullname": "fastexcel.InvalidParametersError", "modulename": "fastexcel", "qualname": "InvalidParametersError", "kind": "class", "doc": "

Provided parameters are invalid

\n", "bases": "_fastexcel.FastExcelError"}, "fastexcel.UnsupportedColumnTypeCombinationError": {"fullname": "fastexcel.UnsupportedColumnTypeCombinationError", "modulename": "fastexcel", "qualname": "UnsupportedColumnTypeCombinationError", "kind": "class", "doc": "

Column contains an unsupported type combination

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"h": {"docs": {"fastexcel.ExcelReader.load_sheet_by_name": {"tf": 1}, "fastexcel.ExcelReader.load_sheet_by_idx": {"tf": 1}}, "df": 2}}}}, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {"fastexcel.ExcelReader.load_sheet_by_name": {"tf": 1}, "fastexcel.ExcelReader.load_sheet_by_idx": {"tf": 1}}, "df": 2}}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {"fastexcel.SheetNotFoundError": {"tf": 1}, "fastexcel.ColumnNotFoundError": {"tf": 1}}, "df": 2}}}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "y": {"docs": {"fastexcel.ExcelReader.load_sheet_by_name": {"tf": 1.7320508075688772}, "fastexcel.ExcelReader.load_sheet_by_idx": {"tf": 1.7320508075688772}}, "df": 2}}}}, "g": {"docs": {"fastexcel.ExcelReader.load_sheet_by_name": {"tf": 1}, "fastexcel.ExcelReader.load_sheet_by_idx": {"tf": 1}}, "df": 2, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"fastexcel.ExcelSheet.available_columns": {"tf": 1}, "fastexcel.CannotRetrieveCellDataError": {"tf": 1}}, "df": 2}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"fastexcel.CalamineError": {"tf": 1}, "fastexcel.ArrowError": {"tf": 1}}, "df": 2}}}}}}}}}}, "pipeline": ["trimmer"], "_isPrebuiltIndex": true}; + /** pdoc search index */const docs = {"version": "0.9.5", "fields": ["qualname", "fullname", "annotation", "default_value", "signature", "bases", "doc"], "ref": "fullname", "documentStore": {"docs": {"fastexcel": {"fullname": "fastexcel", "modulename": "fastexcel", "kind": "module", "doc": "

\n"}, "fastexcel.read_excel": {"fullname": "fastexcel.read_excel", "modulename": "fastexcel", "qualname": "read_excel", "kind": "function", "doc": "

Opens and loads an excel file.

\n\n
Parameters
\n\n
    \n
  • source: The path to a file or its content as bytes
  • \n
\n", "signature": "(source: pathlib.Path | str | bytes) -> fastexcel.ExcelReader:", "funcdef": "def"}, "fastexcel.ExcelReader": {"fullname": "fastexcel.ExcelReader", "modulename": "fastexcel", "qualname": "ExcelReader", "kind": "class", "doc": "

A class representing an open Excel file and allowing to read its sheets

\n"}, "fastexcel.ExcelReader.__init__": {"fullname": "fastexcel.ExcelReader.__init__", "modulename": "fastexcel", "qualname": "ExcelReader.__init__", "kind": "function", "doc": "

\n", "signature": "(reader: _ExcelReader)"}, "fastexcel.ExcelReader.sheet_names": {"fullname": "fastexcel.ExcelReader.sheet_names", "modulename": "fastexcel", "qualname": "ExcelReader.sheet_names", "kind": "variable", "doc": "

The list of sheet names

\n", "annotation": ": list[str]"}, "fastexcel.ExcelReader.load_sheet_by_name": {"fullname": "fastexcel.ExcelReader.load_sheet_by_name", "modulename": "fastexcel", "qualname": "ExcelReader.load_sheet_by_name", "kind": "function", "doc": "

Loads a sheet by name.

\n\n
Parameters
\n\n
    \n
  • name: The name of the sheet to load.
  • \n
  • header_row: The index of the row containing the column labels, default index is 0.\nIf None, the sheet does not have any column labels.
  • \n
  • column_names: Overrides headers found in the document.\nIf column_names is used, header_row will be ignored.
  • \n
  • n_rows: Specifies how many rows should be loaded.\nIf None, all rows are loaded
  • \n
  • skip_rows: Specifies how many rows should be skipped after the header.\nIf header_row is None, it skips the number of rows from the\nstart of the sheet.
  • \n
  • schema_sample_rows: Specifies how many rows should be used to determine\nthe dtype of a column.\nIf None, all rows will be used.
  • \n
  • use_columns: Specifies the columns to use. Can either be: \n
      \n
    • None to select all columns
    • \n
    • a list of strings, the column names
    • \n
    • a list of ints, the column indices (starting at 0)
    • \n
    • a string, a comma separated list of Excel column letters and column\nranges (e.g. \u201cA:E\u201d or \u201cA,C,E:F\u201d, which would result in\nA,B,C,D,E and A,C,E,F)
    • \n
  • \n
\n", "signature": "(\tself,\tname: str,\t*,\theader_row: int | None = 0,\tcolumn_names: list[str] | None = None,\tskip_rows: int = 0,\tn_rows: int | None = None,\tschema_sample_rows: int | None = 1000,\tuse_columns: list[str] | list[int] | str | None = None) -> fastexcel.ExcelSheet:", "funcdef": "def"}, "fastexcel.ExcelReader.load_sheet_by_idx": {"fullname": "fastexcel.ExcelReader.load_sheet_by_idx", "modulename": "fastexcel", "qualname": "ExcelReader.load_sheet_by_idx", "kind": "function", "doc": "

Loads a sheet by index.

\n\n
Parameters
\n\n
    \n
  • idx: The index (starting at 0) of the sheet to load.
  • \n
  • header_row: The index of the row containing the column labels, default index is 0.\nIf None, the sheet does not have any column labels.
  • \n
  • column_names: Overrides headers found in the document.\nIf column_names is used, header_row will be ignored.
  • \n
  • n_rows: Specifies how many rows should be loaded.\nIf None, all rows are loaded
  • \n
  • skip_rows: Specifies how many rows should be skipped after the header.\nIf header_row is None, it skips the number of rows from the\nstart of the sheet.
  • \n
  • schema_sample_rows: Specifies how many rows should be used to determine\nthe dtype of a column.\nIf None, all rows will be used.
  • \n
  • use_columns: Specifies the columns to use. Can either be: \n
      \n
    • None to select all columns
    • \n
    • a list of strings, the column names
    • \n
    • a list of ints, the column indices (starting at 0)
    • \n
    • a string, a comma separated list of Excel column letters and column\nranges (e.g. \u201cA:E\u201d or \u201cA,C,E:F\u201d, which would result in\nA,B,C,D,E and A,C,E,F)
    • \n
  • \n
\n", "signature": "(\tself,\tidx: int,\t*,\theader_row: int | None = 0,\tcolumn_names: list[str] | None = None,\tskip_rows: int = 0,\tn_rows: int | None = None,\tschema_sample_rows: int | None = 1000,\tuse_columns: list[str] | list[int] | str | None = None) -> fastexcel.ExcelSheet:", "funcdef": "def"}, "fastexcel.ExcelReader.load_sheet": {"fullname": "fastexcel.ExcelReader.load_sheet", "modulename": "fastexcel", "qualname": "ExcelReader.load_sheet", "kind": "function", "doc": "

Loads a sheet by name if a string is passed or by index if an integer is passed.

\n\n

See load_sheet_by_idx and load_sheet_by_name for parameter documentation.

\n", "signature": "(\tself,\tidx_or_name: int | str,\t*,\theader_row: int | None = 0,\tcolumn_names: list[str] | None = None,\tskip_rows: int = 0,\tn_rows: int | None = None,\tschema_sample_rows: int | None = 1000,\tuse_columns: list[str] | list[int] | str | None = None) -> fastexcel.ExcelSheet:", "funcdef": "def"}, "fastexcel.ExcelSheet": {"fullname": "fastexcel.ExcelSheet", "modulename": "fastexcel", "qualname": "ExcelSheet", "kind": "class", "doc": "

A class representing a single sheet in an Excel File

\n"}, "fastexcel.ExcelSheet.__init__": {"fullname": "fastexcel.ExcelSheet.__init__", "modulename": "fastexcel", "qualname": "ExcelSheet.__init__", "kind": "function", "doc": "

\n", "signature": "(sheet: _ExcelSheet)"}, "fastexcel.ExcelSheet.name": {"fullname": "fastexcel.ExcelSheet.name", "modulename": "fastexcel", "qualname": "ExcelSheet.name", "kind": "variable", "doc": "

The name of the sheet

\n", "annotation": ": str"}, "fastexcel.ExcelSheet.width": {"fullname": "fastexcel.ExcelSheet.width", "modulename": "fastexcel", "qualname": "ExcelSheet.width", "kind": "variable", "doc": "

The sheet's width

\n", "annotation": ": int"}, "fastexcel.ExcelSheet.height": {"fullname": "fastexcel.ExcelSheet.height", "modulename": "fastexcel", "qualname": "ExcelSheet.height", "kind": "variable", "doc": "

The sheet's height, with skip_rows and nrows applied

\n", "annotation": ": int"}, "fastexcel.ExcelSheet.total_height": {"fullname": "fastexcel.ExcelSheet.total_height", "modulename": "fastexcel", "qualname": "ExcelSheet.total_height", "kind": "variable", "doc": "

The sheet's total height

\n", "annotation": ": int"}, "fastexcel.ExcelSheet.selected_columns": {"fullname": "fastexcel.ExcelSheet.selected_columns", "modulename": "fastexcel", "qualname": "ExcelSheet.selected_columns", "kind": "variable", "doc": "

The sheet's selected columns

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The columns available for the given sheet

\n", "annotation": ": list[str]"}, "fastexcel.ExcelSheet.to_arrow": {"fullname": "fastexcel.ExcelSheet.to_arrow", "modulename": "fastexcel", "qualname": "ExcelSheet.to_arrow", "kind": "function", "doc": "

Converts the sheet to a pyarrow RecordBatch

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Converts the sheet to a Pandas DataFrame.

\n\n

Requires the pandas extra to be installed.

\n", "signature": "(self) -> pandas.core.frame.DataFrame:", "funcdef": "def"}, "fastexcel.ExcelSheet.to_polars": {"fullname": "fastexcel.ExcelSheet.to_polars", "modulename": "fastexcel", "qualname": "ExcelSheet.to_polars", "kind": "function", "doc": "

Converts the sheet to a Polars DataFrame.

\n\n

Requires the polars extra to be installed.

\n", "signature": "(self) -> polars.dataframe.frame.DataFrame:", "funcdef": "def"}, "fastexcel.FastExcelError": {"fullname": "fastexcel.FastExcelError", "modulename": "fastexcel", "qualname": "FastExcelError", "kind": "class", "doc": "

The base class for all fastexcel errors

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Data for a given cell cannot be retrieved

\n", "bases": "_fastexcel.FastExcelError"}, "fastexcel.CalamineCellError": {"fullname": "fastexcel.CalamineCellError", "modulename": "fastexcel", "qualname": "CalamineCellError", "kind": "class", "doc": "

calamine returned an error regarding the content of the cell

\n", "bases": "_fastexcel.FastExcelError"}, "fastexcel.CalamineError": {"fullname": "fastexcel.CalamineError", "modulename": "fastexcel", "qualname": "CalamineError", "kind": "class", "doc": "

Generic calamine error

\n", "bases": "_fastexcel.FastExcelError"}, "fastexcel.SheetNotFoundError": {"fullname": "fastexcel.SheetNotFoundError", "modulename": "fastexcel", "qualname": "SheetNotFoundError", "kind": "class", "doc": "

Sheet was not found

\n", "bases": "_fastexcel.FastExcelError"}, "fastexcel.ColumnNotFoundError": {"fullname": "fastexcel.ColumnNotFoundError", "modulename": "fastexcel", "qualname": "ColumnNotFoundError", "kind": "class", "doc": "

Column was not found

\n", "bases": "_fastexcel.FastExcelError"}, "fastexcel.ArrowError": {"fullname": "fastexcel.ArrowError", "modulename": "fastexcel", "qualname": "ArrowError", "kind": "class", "doc": "

Generic arrow error

\n", "bases": "_fastexcel.FastExcelError"}, "fastexcel.InvalidParametersError": {"fullname": "fastexcel.InvalidParametersError", "modulename": "fastexcel", "qualname": "InvalidParametersError", "kind": "class", "doc": "

Provided parameters are invalid

\n", "bases": "_fastexcel.FastExcelError"}, "fastexcel.UnsupportedColumnTypeCombinationError": {"fullname": "fastexcel.UnsupportedColumnTypeCombinationError", "modulename": "fastexcel", "qualname": "UnsupportedColumnTypeCombinationError", "kind": "class", "doc": "

Column contains an unsupported type combination

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