dlpy.timeseries.TimeseriesTable.from_serverfile

classmethod TimeseriesTable.from_serverfile(conn, path, columns=None, caslib=None, importoptions=None, casout=None)

Create an TimeseriesTable from a file on the server side

Parameters:

conn : CAS

The CAS connection object

path : string

The path that the server can access. If the caslib is specified, it is relative path to the file with respect to the caslib. otherwise, it is the full path to the file.

columns : list-of-strings, optional

columns to keep when loading the data. None means it will include all the columns from the source. Empty list means include no column, which will generate empty data.
Default: None

caslib : string, optional

The name of the caslib which contains the file to be uploaded.
Default: None

importoptions : dict, optional

Options to import data and upload to the server, such as filetype, delimiter, etc. None means use the default ‘auto’ method in the importoptions from CAS.upload.
Default: None

casout : dict or CASTable, optional

If it is dict, it specifies the output CASTable parameters. If it is CASTable, it is the CASTable that will be overwritten. None means a new CASTable with random name will be generated.
Default: None

Returns:

TimeseriesTable

Examples

>>> from swat import CAS
>>> from dlpy.timeseries import TimeseriesTable
>>> s=CAS("cloud.example.com", 5570)
>>> time_tbl = TimeseriesTable.from_serverfile(s, "path/to/file.csv", casout=dict(name='time_tbl', replace=True))