pandas.HDFStore.put
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HDFStore.put(self, key, value, format=None, append=False, **kwargs)
[source]
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Store object in HDFStore
Parameters: |
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key : object -
value : {Series, DataFrame} -
format : ‘fixed(f)|table(t)’, default is ‘fixed’ -
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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. -
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’ |