pandas.HDFStore.put¶
- HDFStore.put(key, value, format=None, index=True, append=False, complib=None, complevel=None, min_itemsize=None, nan_rep=None, data_columns=None, encoding=None, errors='strict', track_times=True, dropna=False)[source]¶
Store object in HDFStore.
- Parameters
- keystr
- value{Series, DataFrame}
- format‘fixed(f)|table(t)’, default is ‘fixed’
Format to use when storing object in HDFStore. Value can be one of:
'fixed'Fixed format. Fast writing/reading. Not-appendable, nor searchable.
'table'Table format. Write as a PyTables Table structure which may perform worse but allow more flexible operations like searching / selecting subsets of the data.
- indexbool, default True
Write DataFrame index as a column.
- appendbool, default False
This will force Table format, append the input data to the existing.
- data_columnslist of columns or True, default None
List of columns to create as data columns, or True to use all columns. See here.
- encodingstr, default None
Provide an encoding for strings.
- track_timesbool, default True
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.
- dropnabool, default False, optional
Remove missing values.
New in version 1.1.0.