Series.to_hdf(path_or_buf, key, **kwargs)
[source]
Write the contained data to an HDF5 file using 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+’}, default ‘a’
format : ‘fixed(f)|table(t)’, default is ‘fixed’
append : boolean, default False For Table formats, append the input data to the existing data_columns : list of columns, or True, default None List of columns to create as indexed data columns for on-disk queries, or True to use all columns. By default only the axes of the object are indexed. See here. Applicable only to format=’table’. 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. |
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http://pandas.pydata.org/pandas-docs/version/0.19.2/generated/pandas.Series.to_hdf.html