swat.CAS.read_hdf

CAS.read_hdf(path_or_buf, casout=None, **kwargs)

Read from the HDF store and create a CAS table

This method calls pandas.read_hdf() with the given arguments, then uploads the resulting pandas.DataFrame to a CAS table.

Parameters:
path_or_buf : string or file-like object

The path, URL, or file object that contains the HDF data.

casout : string or CASTable, optional
The output table specification. This includes the following parameters.
name : string, optional

Name of the output CAS table.

caslib : string, optional

CASLib for the output CAS table.

label : string, optional

The label to apply to the output CAS table.

promote : boolean, optional

If True, the output CAS table will be visible in all sessions.

replace : boolean, optional

If True, the output CAS table will replace any existing CAS. table with the same name.

**kwargs : any, optional

Keyword arguments to pandas.read_hdf().

Returns:
CASTable

Examples

>>> conn = swat.CAS()
>>> tbl = conn.read_hdf('iris.html')
>>> print(tbl.head())