HDFStore.put()

HDFStore.put(key, value, format=None, append=False, **kwargs) [source]

Store object in HDFStore

Parameters:	key : object value : {Series, DataFrame, Panel} 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

append : boolean, default False

This will force Table format, append the input data to the existing.

data_columns : list of columns to create as data columns, or True to

use all columns. See here # noqa

encoding : default None, provide an encoding for strings

dropna : boolean, default False, do not write an ALL nan row to

the store settable by the option ?io.hdf.dropna_table?