diff --git a/docs/fastexcel.html b/docs/fastexcel.html index 78ce472..5e79f0e 100644 --- a/docs/fastexcel.html +++ b/docs/fastexcel.html @@ -275,7 +275,7 @@

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] | None = None, +115 use_columns: list[str] | list[int] | str | None = None, 116 ) -> ExcelSheet: 117 """Loads a sheet by name. 118 @@ -292,130 +292,138 @@

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 a list of column names, or -133 a list of column indices (starting at 0). -134 If `None`, all columns will be used. -135 """ -136 return ExcelSheet( -137 self._reader.load_sheet_by_name( -138 name, -139 header_row=header_row, -140 column_names=column_names, -141 skip_rows=skip_rows, -142 n_rows=n_rows, -143 schema_sample_rows=schema_sample_rows, -144 use_columns=use_columns, -145 ) -146 ) -147 -148 def load_sheet_by_idx( -149 self, -150 idx: int, -151 *, -152 header_row: int | None = 0, -153 column_names: list[str] | None = None, -154 skip_rows: int = 0, -155 n_rows: int | None = None, -156 schema_sample_rows: int | None = 1_000, -157 use_columns: list[str] | list[int] | None = None, -158 ) -> ExcelSheet: -159 """Loads a sheet by index. -160 -161 :param idx: The index (starting at 0) of the sheet to load. -162 :param header_row: The index of the row containing the column labels, default index is 0. -163 If `None`, the sheet does not have any column labels. -164 :param column_names: Overrides headers found in the document. -165 If `column_names` is used, `header_row` will be ignored. -166 :param n_rows: Specifies how many rows should be loaded. -167 If `None`, all rows are loaded -168 :param skip_rows: Specifies how many rows should be skipped after the header. -169 If `header_row` is `None`, it skips the number of rows from the -170 start of the sheet. -171 :param schema_sample_rows: Specifies how many rows should be used to determine -172 the dtype of a column. -173 If `None`, all rows will be used. -174 :param use_columns: Specifies the columns to use. Can either be a list of column names, or -175 a list of column indices (starting at 0). -176 If `None`, all columns will be used. -177 """ -178 if idx < 0: -179 raise ValueError(f"Expected idx to be > 0, got {idx}") -180 return ExcelSheet( -181 self._reader.load_sheet_by_idx( -182 idx, -183 header_row=header_row, -184 column_names=column_names, -185 skip_rows=skip_rows, -186 n_rows=n_rows, -187 schema_sample_rows=schema_sample_rows, -188 use_columns=use_columns, -189 ) -190 ) -191 -192 def load_sheet( -193 self, -194 idx_or_name: int | str, -195 *, -196 header_row: int | None = 0, -197 column_names: list[str] | None = None, -198 skip_rows: int = 0, -199 n_rows: int | None = None, -200 schema_sample_rows: int | None = 1_000, -201 use_columns: list[str] | list[int] | None = None, -202 ) -> ExcelSheet: -203 """Loads a sheet by name if a string is passed or by index if an integer is passed. -204 -205 See `load_sheet_by_idx` and `load_sheet_by_name` for parameter documentation. -206 """ -207 return ( -208 self.load_sheet_by_idx( -209 idx_or_name, -210 header_row=header_row, -211 column_names=column_names, -212 skip_rows=skip_rows, -213 n_rows=n_rows, -214 schema_sample_rows=schema_sample_rows, -215 use_columns=use_columns, -216 ) -217 if isinstance(idx_or_name, int) -218 else self.load_sheet_by_name( -219 idx_or_name, -220 header_row=header_row, -221 column_names=column_names, -222 skip_rows=skip_rows, -223 n_rows=n_rows, -224 schema_sample_rows=schema_sample_rows, -225 use_columns=use_columns, -226 ) -227 ) -228 -229 def __repr__(self) -> str: -230 return self._reader.__repr__() -231 -232 -233def read_excel(path: Path | str) -> ExcelReader: -234 """Opens and loads an excel file. -235 -236 :param path: The path to the file -237 """ -238 return ExcelReader(_read_excel(expanduser(path))) +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__() 239 240 -241__all__ = ( -242 "__version__", -243 "read_excel", -244 "ExcelReader", -245 "ExcelSheet", -246 "FastExcelError", -247 "CannotRetrieveCellDataError", -248 "CalamineCellError", -249 "CalamineError", -250 "SheetNotFoundError", -251 "ColumnNotFoundError", -252 "ArrowError", -253 "InvalidParametersError", -254 "UnsupportedColumnTypeCombinationError", -255) +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 +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) @@ -443,12 +451,12 @@

- 
234def read_excel(path: Path | str) -> ExcelReader:
-235    """Opens and loads an excel file.
-236
-237    :param path: The path to the file
-238    """
-239    return ExcelReader(_read_excel(expanduser(path)))
+            
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)))
 

 
 
@@ -494,7 +502,7 @@ 
Parameters

 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] | None = None,
+116        use_columns: list[str] | list[int] | str | None = None,
 117    ) -> ExcelSheet:
 118        """Loads a sheet by name.
 119
@@ -511,105 +519,113 @@ 
Parameters

 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 a list of column names, or
-134                            a list of column indices (starting at 0).
-135                            If `None`, all columns will be used.
-136        """
-137        return ExcelSheet(
-138            self._reader.load_sheet_by_name(
-139                name,
-140                header_row=header_row,
-141                column_names=column_names,
-142                skip_rows=skip_rows,
-143                n_rows=n_rows,
-144                schema_sample_rows=schema_sample_rows,
-145                use_columns=use_columns,
-146            )
-147        )
-148
-149    def load_sheet_by_idx(
-150        self,
-151        idx: int,
-152        *,
-153        header_row: int | None = 0,
-154        column_names: list[str] | None = None,
-155        skip_rows: int = 0,
-156        n_rows: int | None = None,
-157        schema_sample_rows: int | None = 1_000,
-158        use_columns: list[str] | list[int] | None = None,
-159    ) -> ExcelSheet:
-160        """Loads a sheet by index.
-161
-162        :param idx: The index (starting at 0) of the sheet to load.
-163        :param header_row: The index of the row containing the column labels, default index is 0.
-164                           If `None`, the sheet does not have any column labels.
-165        :param column_names: Overrides headers found in the document.
-166                             If `column_names` is used, `header_row` will be ignored.
-167        :param n_rows: Specifies how many rows should be loaded.
-168                       If `None`, all rows are loaded
-169        :param skip_rows: Specifies how many rows should be skipped after the header.
-170                          If `header_row` is `None`, it skips the number of rows from the
-171                          start of the sheet.
-172        :param schema_sample_rows: Specifies how many rows should be used to determine
-173                                   the dtype of a column.
-174                                   If `None`, all rows will be used.
-175        :param use_columns: Specifies the columns to use. Can either be a list of column names, or
-176                            a list of column indices (starting at 0).
-177                            If `None`, all columns will be used.
-178        """
-179        if idx < 0:
-180            raise ValueError(f"Expected idx to be > 0, got {idx}")
-181        return ExcelSheet(
-182            self._reader.load_sheet_by_idx(
-183                idx,
-184                header_row=header_row,
-185                column_names=column_names,
-186                skip_rows=skip_rows,
-187                n_rows=n_rows,
-188                schema_sample_rows=schema_sample_rows,
-189                use_columns=use_columns,
-190            )
-191        )
-192
-193    def load_sheet(
-194        self,
-195        idx_or_name: int | str,
-196        *,
-197        header_row: int | None = 0,
-198        column_names: list[str] | None = None,
-199        skip_rows: int = 0,
-200        n_rows: int | None = None,
-201        schema_sample_rows: int | None = 1_000,
-202        use_columns: list[str] | list[int] | None = None,
-203    ) -> ExcelSheet:
-204        """Loads a sheet by name if a string is passed or by index if an integer is passed.
-205
-206        See `load_sheet_by_idx` and `load_sheet_by_name` for parameter documentation.
-207        """
-208        return (
-209            self.load_sheet_by_idx(
-210                idx_or_name,
-211                header_row=header_row,
-212                column_names=column_names,
-213                skip_rows=skip_rows,
-214                n_rows=n_rows,
-215                schema_sample_rows=schema_sample_rows,
-216                use_columns=use_columns,
-217            )
-218            if isinstance(idx_or_name, int)
-219            else self.load_sheet_by_name(
-220                idx_or_name,
-221                header_row=header_row,
-222                column_names=column_names,
-223                skip_rows=skip_rows,
-224                n_rows=n_rows,
-225                schema_sample_rows=schema_sample_rows,
-226                use_columns=use_columns,
-227            )
-228        )
-229
-230    def __repr__(self) -> str:
-231        return self._reader.__repr__()
+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__()
@@ -661,7 +677,7 @@

Parameters
def - load_sheet_by_name( self, name: str, *, header_row: int | None = 0, column_names: list[str] | None = None, skip_rows: int = 0, n_rows: int | None = None, schema_sample_rows: int | None = 1000, use_columns: list[str] | list[int] | None = None) -> ExcelSheet: + load_sheet_by_name( self, name: str, *, header_row: int | None = 0, column_names: list[str] | None = None, skip_rows: int = 0, n_rows: int | None = None, schema_sample_rows: int | None = 1000, use_columns: list[str] | list[int] | str | None = None) -> ExcelSheet: @@ -676,7 +692,7 @@
Parameters
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] | None = None, +116 use_columns: list[str] | list[int] | str | None = None, 117 ) -> ExcelSheet: 118 """Loads a sheet by name. 119 @@ -693,21 +709,25 @@
Parameters
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 a list of column names, or -134 a list of column indices (starting at 0). -135 If `None`, all columns will be used. -136 """ -137 return ExcelSheet( -138 self._reader.load_sheet_by_name( -139 name, -140 header_row=header_row, -141 column_names=column_names, -142 skip_rows=skip_rows, -143 n_rows=n_rows, -144 schema_sample_rows=schema_sample_rows, -145 use_columns=use_columns, -146 ) -147 ) +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 )
@@ -729,9 +749,15 @@
Parameters
  • schema_sample_rows: Specifies how many rows should be used to determine the dtype of a column. If None, all rows will be used.
    • -
  • use_columns: Specifies the columns to use. Can either be a list of column names, or -a list of column indices (starting at 0). -If None, all columns will be used.
    • +
  • use_columns: Specifies the columns to use. Can either be: +
      +
    • None to select all columns
      • +
    • a list of strings, the column names
      • +
    • a list of ints, the column indices (starting at 0)
      • +
    • a string, a comma separated list of Excel column letters and column +ranges (e.g. “A:E” or “A,C,E:F”, which would result in +A,B,C,D,E and A,C,E,F)
      • +
    • @@ -742,55 +768,59 @@
    Parameters
    def - load_sheet_by_idx( self, idx: int, *, header_row: int | None = 0, column_names: list[str] | None = None, skip_rows: int = 0, n_rows: int | None = None, schema_sample_rows: int | None = 1000, use_columns: list[str] | list[int] | None = None) -> ExcelSheet: + load_sheet_by_idx( self, idx: int, *, header_row: int | None = 0, column_names: list[str] | None = None, skip_rows: int = 0, n_rows: int | None = None, schema_sample_rows: int | None = 1000, use_columns: list[str] | list[int] | str | None = None) -> ExcelSheet:
    - 
    149    def load_sheet_by_idx(
-150        self,
-151        idx: int,
-152        *,
-153        header_row: int | None = 0,
-154        column_names: list[str] | None = None,
-155        skip_rows: int = 0,
-156        n_rows: int | None = None,
-157        schema_sample_rows: int | None = 1_000,
-158        use_columns: list[str] | list[int] | None = None,
-159    ) -> ExcelSheet:
-160        """Loads a sheet by index.
-161
-162        :param idx: The index (starting at 0) of the sheet to load.
-163        :param header_row: The index of the row containing the column labels, default index is 0.
-164                           If `None`, the sheet does not have any column labels.
-165        :param column_names: Overrides headers found in the document.
-166                             If `column_names` is used, `header_row` will be ignored.
-167        :param n_rows: Specifies how many rows should be loaded.
-168                       If `None`, all rows are loaded
-169        :param skip_rows: Specifies how many rows should be skipped after the header.
-170                          If `header_row` is `None`, it skips the number of rows from the
-171                          start of the sheet.
-172        :param schema_sample_rows: Specifies how many rows should be used to determine
-173                                   the dtype of a column.
-174                                   If `None`, all rows will be used.
-175        :param use_columns: Specifies the columns to use. Can either be a list of column names, or
-176                            a list of column indices (starting at 0).
-177                            If `None`, all columns will be used.
-178        """
-179        if idx < 0:
-180            raise ValueError(f"Expected idx to be > 0, got {idx}")
-181        return ExcelSheet(
-182            self._reader.load_sheet_by_idx(
-183                idx,
-184                header_row=header_row,
-185                column_names=column_names,
-186                skip_rows=skip_rows,
-187                n_rows=n_rows,
-188                schema_sample_rows=schema_sample_rows,
-189                use_columns=use_columns,
-190            )
-191        )
+            
    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        )
 
    
 
 
@@ -812,9 +842,15 @@ 
    Parameters
    
 
  • schema_sample_rows:  Specifies how many rows should be used to determine
 the dtype of a column.
 If None, all rows will be used.
    • 
-
  • use_columns:  Specifies the columns to use. Can either be a list of column names, or
-a list of column indices (starting at 0).
-If None, all columns will be used.
    • 
+
  • use_columns: Specifies the columns to use. Can either be: 
+
      
+
    • None to select all columns
      • 
+
    • a list of strings, the column names
      • 
+
    • a list of ints, the column indices (starting at 0)
      • 
+
    • a string, a comma separated list of Excel column letters and column
+ranges (e.g. “A:E” or “A,C,E:F”, which would result in
+A,B,C,D,E and A,C,E,F)
      • 
+
    •
    @@ -825,48 +861,48 @@
    Parameters
    def - load_sheet( self, idx_or_name: int | str, *, header_row: int | None = 0, column_names: list[str] | None = None, skip_rows: int = 0, n_rows: int | None = None, schema_sample_rows: int | None = 1000, use_columns: list[str] | list[int] | None = None) -> ExcelSheet: + load_sheet( self, idx_or_name: int | str, *, header_row: int | None = 0, column_names: list[str] | None = None, skip_rows: int = 0, n_rows: int | None = None, schema_sample_rows: int | None = 1000, use_columns: list[str] | list[int] | str | None = None) -> ExcelSheet:
    - 
    193    def load_sheet(
-194        self,
-195        idx_or_name: int | str,
-196        *,
-197        header_row: int | None = 0,
-198        column_names: list[str] | None = None,
-199        skip_rows: int = 0,
-200        n_rows: int | None = None,
-201        schema_sample_rows: int | None = 1_000,
-202        use_columns: list[str] | list[int] | None = None,
-203    ) -> ExcelSheet:
-204        """Loads a sheet by name if a string is passed or by index if an integer is passed.
-205
-206        See `load_sheet_by_idx` and `load_sheet_by_name` for parameter documentation.
-207        """
-208        return (
-209            self.load_sheet_by_idx(
-210                idx_or_name,
-211                header_row=header_row,
-212                column_names=column_names,
-213                skip_rows=skip_rows,
-214                n_rows=n_rows,
-215                schema_sample_rows=schema_sample_rows,
-216                use_columns=use_columns,
-217            )
-218            if isinstance(idx_or_name, int)
-219            else self.load_sheet_by_name(
-220                idx_or_name,
-221                header_row=header_row,
-222                column_names=column_names,
-223                skip_rows=skip_rows,
-224                n_rows=n_rows,
-225                schema_sample_rows=schema_sample_rows,
-226                use_columns=use_columns,
-227            )
-228        )
+            
    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        )
 
    
 
 
diff --git a/docs/search.js b/docs/search.js
index 4e55eea..74fc0fb 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. This may cause problems when serialising the index.\n",e)},t.Pipeline.load=function(e){var n=new t.Pipeline;return e.forEach(function(e){var i=t.Pipeline.getRegisteredFunction(e);if(!i)throw new Error("Cannot load un-registered function: "+e);n.add(i)}),n},t.Pipeline.prototype.add=function(){var e=Array.prototype.slice.call(arguments);e.forEach(function(e){t.Pipeline.warnIfFunctionNotRegistered(e),this._queue.push(e)},this)},t.Pipeline.prototype.after=function(e,n){t.Pipeline.warnIfFunctionNotRegistered(n);var i=this._queue.indexOf(e);if(-1===i)throw new Error("Cannot find existingFn");this._queue.splice(i+1,0,n)},t.Pipeline.prototype.before=function(e,n){t.Pipeline.warnIfFunctionNotRegistered(n);var i=this._queue.indexOf(e);if(-1===i)throw new Error("Cannot find existingFn");this._queue.splice(i,0,n)},t.Pipeline.prototype.remove=function(e){var t=this._queue.indexOf(e);-1!==t&&this._queue.splice(t,1)},t.Pipeline.prototype.run=function(e){for(var 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u=r[s];u=Math.sqrt(u),this.index[n].addToken(s,{ref:i,tf:u})}},this),n&&this.eventEmitter.emit("add",e,this)}},t.Index.prototype.removeDocByRef=function(e){if(e&&this.documentStore.isDocStored()!==!1&&this.documentStore.hasDoc(e)){var t=this.documentStore.getDoc(e);this.removeDoc(t,!1)}},t.Index.prototype.removeDoc=function(e,n){if(e){var n=void 0===n?!0:n,i=e[this._ref];this.documentStore.hasDoc(i)&&(this.documentStore.removeDoc(i),this._fields.forEach(function(n){var o=this.pipeline.run(t.tokenizer(e[n]));o.forEach(function(e){this.index[n].removeToken(e,i)},this)},this),n&&this.eventEmitter.emit("remove",e,this))}},t.Index.prototype.updateDoc=function(e,t){var t=void 0===t?!0:t;this.removeDocByRef(e[this._ref],!1),this.addDoc(e,!1),t&&this.eventEmitter.emit("update",e,this)},t.Index.prototype.idf=function(e,t){var n="@"+t+"/"+e;if(Object.prototype.hasOwnProperty.call(this._idfCache,n))return this._idfCache[n];var 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configuration"),this.buildDefaultConfig(n)}},t.Configuration.prototype.buildDefaultConfig=function(e){this.reset(),e.forEach(function(e){this.config[e]={boost:1,bool:"OR",expand:!1}},this)},t.Configuration.prototype.buildUserConfig=function(e,n){var i="OR",o=!1;if(this.reset(),"bool"in e&&(i=e.bool||i),"expand"in e&&(o=e.expand||o),"fields"in e)for(var r in e.fields)if(n.indexOf(r)>-1){var s=e.fields[r],u=o;void 0!=s.expand&&(u=s.expand),this.config[r]={boost:s.boost||0===s.boost?s.boost:1,bool:s.bool||i,expand:u}}else t.utils.warn("field name in user configuration not found in index instance fields");else this.addAllFields2UserConfig(i,o,n)},t.Configuration.prototype.addAllFields2UserConfig=function(e,t,n){n.forEach(function(n){this.config[n]={boost:1,bool:e,expand:t}},this)},t.Configuration.prototype.get=function(){return this.config},t.Configuration.prototype.reset=function(){this.config={}},lunr.SortedSet=function(){this.length=0,this.elements=[]},lunr.SortedSet.load=function(e){var t=new this;return t.elements=e,t.length=e.length,t},lunr.SortedSet.prototype.add=function(){var e,t;for(e=0;e1;){if(r===e)return o;e>r&&(t=o),r>e&&(n=o),i=n-t,o=t+Math.floor(i/2),r=this.elements[o]}return r===e?o:-1},lunr.SortedSet.prototype.locationFor=function(e){for(var t=0,n=this.elements.length,i=n-t,o=t+Math.floor(i/2),r=this.elements[o];i>1;)e>r&&(t=o),r>e&&(n=o),i=n-t,o=t+Math.floor(i/2),r=this.elements[o];return r>e?o:e>r?o+1:void 0},lunr.SortedSet.prototype.intersect=function(e){for(var t=new lunr.SortedSet,n=0,i=0,o=this.length,r=e.length,s=this.elements,u=e.elements;;){if(n>o-1||i>r-1)break;s[n]!==u[i]?s[n]u[i]&&i++:(t.add(s[n]),n++,i++)}return t},lunr.SortedSet.prototype.clone=function(){var e=new lunr.SortedSet;return 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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 a list of column names, or\na list of column indices (starting at 0).\nIf None, all columns will be used.
      • \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] | 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 a list of column names, or\na list of column indices (starting at 0).\nIf None, all columns will be used.
      • \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] | 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] | 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": "
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+    /** 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
    • 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
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     // mirrored in build-search-index.js (part 1)
     // Also split on html tags. this is a cheap heuristic, but good enough.