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’

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