pandas.io.pytables.HDFStore.append

HDFStore.append(key, value, format=None, append=True, columns=None, dropna=None, **kwargs)

Append to Table in file. Node must already exist and be Table format.

Parameters:

key : object

value : {Series, DataFrame, Panel, Panel4D}

format: ‘table’ is the default

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 True, append the input data to the

existing

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

use all columns

min_itemsize : dict of columns that specify minimum string sizes

nan_rep : string to use as string nan represenation

chunksize : size to chunk the writing

expectedrows : expected TOTAL row size of this table

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’

Notes

—–

Does *not* check if data being appended overlaps with existing

data in the table, so be careful