pandas.DataFrame.to_hdf¶
- DataFrame.to_hdf(path_or_buf, key, **kwargs)¶
activate the HDFStore
Parameters : path_or_buf : the path (string) or buffer to put the store
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