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Panel.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?
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'w'
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Write; a new file is created (an existing file with the same name would be deleted).
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'a'
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Append; an existing file is opened for reading and writing, and if the file does not exist it is created.
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'r+'
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It is similar to
'a'
, but the file must already exist.
format : ?fixed(f)|table(t)?, default is ?fixed?
- fixed(f)
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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
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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