swat.CAS.read_sas

CAS.read_sas(filepath_or_buffer, casout=None, **kwargs)

Read SAS files stored as XPORT or SAS7BDAT into a CAS table

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

Parameters:

filepath_or_buffer : 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_sas().

Returns:

CASTable

See also

pandas.read_sas(), upload_file()

Examples

>>> conn = swat.CAS()
>>> tbl = conn.read_sas('iris.sas7bdat')
>>> print(tbl.head())