@@ -365,7 +365,7 @@ def read_hdf(
365365 A list of Term (or convertible) objects.
366366 start : int, optional
367367 Row number to start selection.
368- stop : int, optional
368+ stop : int, optional
369369 Row number to stop selection.
370370 columns : list, optional
371371 A list of columns names to return.
@@ -1269,18 +1269,18 @@ def append(
12691269 subsets of the data.
12701270 index : bool, default True
12711271 Write DataFrame index as a column.
1272- append : bool, default True
1272+ append : bool, default True
12731273 Append the input data to the existing.
12741274 data_columns : list of columns, or True, default None
12751275 List of columns to create as indexed data columns for on-disk
12761276 queries, or True to use all columns. By default only the axes
12771277 of the object are indexed. See `here
12781278 <https://pandas.pydata.org/pandas-docs/stable/user_guide/io.html#query-via-data-columns>`__.
12791279 min_itemsize : dict of columns that specify minimum str sizes
1280- nan_rep : str to use as str nan representation
1281- chunksize : size to chunk the writing
1280+ nan_rep : str to use as str nan representation
1281+ chunksize : size to chunk the writing
12821282 expectedrows : expected TOTAL row size of this table
1283- encoding : default None, provide an encoding for str
1283+ encoding : default None, provide an encoding for str
12841284 dropna : bool, default False, optional
12851285 Do not write an ALL nan row to the store settable
12861286 by the option 'io.hdf.dropna_table'.
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