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