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# pandas.io.pytables.HDFStore.put

`HDFStore.``put`(key, value, format=None, append=False, **kwargs)

  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. encoding : default None, provide an encoding for strings dropna : boolean, default True, do not write an ALL nan row to the store settable by the option ‘io.hdf.dropna_table’

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