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# pandas.Series.to_hdf

`Series.``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

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