pandas.HDFStore.put¶
-
HDFStore.
put
(key, value, format=None, append=False, **kwargs)[source]¶ Store object in HDFStore
- Parameters
- keyobject
- value{Series, DataFrame}
- format‘fixed(f)|table(t)’, default is ‘fixed’
- fixed(f)Fixed format
Fast writing/reading. Not-appendable, nor searchable
- table(t)Table format
Write as a PyTables Table structure which may perform worse but allow more flexible operations like searching / selecting subsets of the data
- appendboolean, default False
This will force Table format, append the input data to the existing.
- data_columnslist of columns to create as data columns, or True to
use all columns. See here.
- encodingdefault None, provide an encoding for strings
- dropnaboolean, default False, do not write an ALL nan row to
the store settable by the option ‘io.hdf.dropna_table’