@@ -2008,54 +2008,56 @@ def _repr_data_resource_(self):
20082008
20092009 Parameters
20102010 ----------
2011- excel_writer : string or ExcelWriter object
2011+ excel_writer : str or ExcelWriter object
20122012 File path or existing ExcelWriter.
2013- sheet_name : string , default 'Sheet1'
2013+ sheet_name : str , default 'Sheet1'
20142014 Name of sheet which will contain DataFrame.
2015- na_rep : string , default ''
2015+ na_rep : str , default ''
20162016 Missing data representation.
2017- float_format : string , optional
2017+ float_format : str , optional
20182018 Format string for floating point numbers. For example
20192019 ``float_format="%%.2f"`` will format 0.1234 to 0.12.
2020- columns : sequence or list of string , optional
2020+ columns : sequence or list of str , optional
20212021 Columns to write.
2022- header : boolean or list of string , default True
2023- Write out the column names. If a list of strings is given it is
2022+ header : bool or list of str , default True
2023+ Write out the column names. If a list of string is given it is
20242024 assumed to be aliases for the column names.
2025- index : boolean , default True
2025+ index : bool , default True
20262026 Write row names (index).
2027- index_label : string or sequence, optional
2027+ index_label : str or sequence, optional
20282028 Column label for index column(s) if desired. If not specified, and
20292029 `header` and `index` are True, then the index names are used. A
20302030 sequence should be given if the DataFrame uses MultiIndex.
2031- startrow : integer , default 0
2031+ startrow : int , default 0
20322032 Upper left cell row to dump data frame.
2033- startcol : integer , default 0
2033+ startcol : int , default 0
20342034 Upper left cell column to dump data frame.
2035- engine : string , optional
2035+ engine : str , optional
20362036 Write engine to use, 'openpyxl' or 'xlsxwriter'. You can also set this
20372037 via the options ``io.excel.xlsx.writer``, ``io.excel.xls.writer``, and
20382038 ``io.excel.xlsm.writer``.
2039- merge_cells : boolean , default True
2039+ merge_cells : bool , default True
20402040 Write MultiIndex and Hierarchical Rows as merged cells.
2041- encoding : string , optional
2041+ encoding : str , optional
20422042 Encoding of the resulting excel file. Only necessary for xlwt,
20432043 other writers support unicode natively.
2044- inf_rep : string , default 'inf'
2044+ inf_rep : str , default 'inf'
20452045 Representation for infinity (there is no native representation for
20462046 infinity in Excel).
2047- verbose : boolean , default True
2047+ verbose : bool , default True
20482048 Display more information in the error logs.
2049- freeze_panes : tuple of integer (length 2), optional
2049+ freeze_panes : tuple of int (length 2), optional
20502050 Specifies the one-based bottommost row and rightmost column that
20512051 is to be frozen.
20522052
20532053 .. versionadded:: 0.20.0.
20542054
20552055 See Also
20562056 --------
2057- read_excel
2058- ExcelWriter
2057+ to_csv : Write DataFrame to a comma-separated values (csv) file.
2058+ ExcelWriter : Class for writing DataFrame objects into excel sheets.
2059+ read_excel : Read an Excel file into a pandas DataFrame.
2060+ read_csv : Read a comma-separated values (csv) file into DataFrame.
20592061
20602062 Notes
20612063 -----
@@ -2071,8 +2073,8 @@ def _repr_data_resource_(self):
20712073 Create, write to and save a workbook:
20722074
20732075 >>> df1 = pd.DataFrame([['a', 'b'], ['c', 'd']],
2074- ... index=['row 1', 'row 2'],
2075- ... columns=['col 1', 'col 2'])
2076+ ... index=['row 1', 'row 2'],
2077+ ... columns=['col 1', 'col 2'])
20762078 >>> df1.to_excel("output.xlsx") # doctest: +SKIP
20772079
20782080 To specify the sheet name:
@@ -2166,7 +2168,7 @@ def to_json(self, path_or_buf=None, orient=None, date_format=None,
21662168 double_precision : int, default 10
21672169 The number of decimal places to use when encoding
21682170 floating point values.
2169- force_ascii : boolean , default True
2171+ force_ascii : bool , default True
21702172 Force encoded string to be ASCII.
21712173 date_unit : string, default 'ms' (milliseconds)
21722174 The time unit to encode to, governs timestamp and ISO8601
@@ -2176,7 +2178,7 @@ def to_json(self, path_or_buf=None, orient=None, date_format=None,
21762178 Handler to call if object cannot otherwise be converted to a
21772179 suitable format for JSON. Should receive a single argument which is
21782180 the object to convert and return a serialisable object.
2179- lines : boolean , default False
2181+ lines : bool , default False
21802182 If 'orient' is 'records' write out line delimited json format. Will
21812183 throw ValueError if incorrect 'orient' since others are not list
21822184 like.
@@ -2192,7 +2194,7 @@ def to_json(self, path_or_buf=None, orient=None, date_format=None,
21922194 .. versionadded:: 0.21.0
21932195 .. versionchanged:: 0.24.0
21942196 'infer' option added and set to default
2195- index : boolean , default True
2197+ index : bool , default True
21962198 Whether to include the index values in the JSON string. Not
21972199 including the index (``index=False``) is only supported when
21982200 orient is 'split' or 'table'.
@@ -2375,7 +2377,7 @@ def to_msgpack(self, path_or_buf=None, encoding='utf-8', **kwargs):
23752377 ----------
23762378 path : string File path, buffer-like, or None
23772379 if None, return generated string
2378- append : boolean whether to append to an existing msgpack
2380+ append : bool whether to append to an existing msgpack
23792381 (default is False)
23802382 compress : type of compressor (zlib or blosc), default to None (no
23812383 compression)
@@ -2410,7 +2412,7 @@ def to_sql(self, name, con, schema=None, if_exists='fail', index=True,
24102412 * replace: Drop the table before inserting new values.
24112413 * append: Insert new values to the existing table.
24122414
2413- index : boolean , default True
2415+ index : bool , default True
24142416 Write DataFrame index as a column. Uses `index_label` as the column
24152417 name in the table.
24162418 index_label : string or sequence, default None
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