pandas.Series.to_hdf

Series.to_hdf(path_or_buf, key, **kwargs)

Activate the HDFStore.

Parameters:

path_or_buf : the path (string) or HDFStore object key : string indentifier for the group in the store mode : optional, {‘a’, ‘w’, ‘r’, ‘r+’}, default ‘a’ 'r' Read-only; no data can be modified. 'w' Write; a new file is created (an existing file with the same name would be deleted). 'a' Append; an existing file is opened for reading and writing, and if the file does not exist it is created. 'r+' It is similar to 'a', but the file must already exist. 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 For Table formats, append the input data to the existing complevel : int, 1-9, default 0 If a complib is specified compression will be applied where possible complib : {‘zlib’, ‘bzip2’, ‘lzo’, ‘blosc’, None}, default None If complevel is > 0 apply compression to objects written in the store wherever possible fletcher32 : bool, default False If applying compression use the fletcher32 checksum dropna : boolean, default False. If true, ALL nan rows will not be written to store.