DOC: added index, dropna description for HDF methods #45030

pandas/core/generic.py

@@ -2599,6 +2599,8 @@ def to_hdf(
               like searching / selecting subsets of the data.
             - If None, pd.get_option('io.hdf.default_format') is checked,
               followed by fallback to "fixed".
+        index : bool, default True
+            Write DataFrame index as a column.
         errors : str, default 'strict'
             Specifies how encoding and decoding errors are to be handled.
             See the errors argument for :func:`open` for a full list
@@ -2609,6 +2611,8 @@ def to_hdf(
         nan_rep : Any, optional
             How to represent null values as str.
             Not allowed with append=True.
+        dropna : bool, default False, optional
+            Remove missing values.
         data_columns : list of columns or True, optional
             List of columns to create as indexed data columns for on-disk
             queries, or True to use all columns. By default only the axes

pandas/io/pytables.py

@@ -1112,6 +1112,8 @@ def put(
                 Table format.  Write as a PyTables Table structure which may perform
                 worse but allow more flexible operations like searching / selecting
                 subsets of the data.
+        index : bool, default True
+            Write DataFrame index as a column.
         append : bool, default False
             This will force Table format, append the input data to the existing.
         data_columns : list of columns or True, default None
@@ -1124,6 +1126,8 @@ def put(
             Parameter is propagated to 'create_table' method of 'PyTables'.
             If set to False it enables to have the same h5 files (same hashes)
             independent on creation time.
+        dropna : bool, default False, optional
+            Remove missing values.
 
             .. versionadded:: 1.1.0
         """
@@ -1239,6 +1243,8 @@ def append(
                 Table format. Write as a PyTables Table structure which may perform
                 worse but allow more flexible operations like searching / selecting
                 subsets of the data.
+        index : bool, default True
+            Write DataFrame index as a column.
         append       : bool, default True
             Append the input data to the existing.
         data_columns : list of columns, or True, default None
@@ -1251,7 +1257,7 @@ def append(
         chunksize    : size to chunk the writing
         expectedrows : expected TOTAL row size of this table
         encoding     : default None, provide an encoding for str
-        dropna : bool, default False
+        dropna : bool, default False, optional
             Do not write an ALL nan row to the store settable
             by the option 'io.hdf.dropna_table'.