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 :