dlpy.timeseries.TimeseriesTable.from_localfile

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

Create an TimeseriesTable from a file on the client side.

Parameters:

conn : CAS

The CAS connection object

path : string

The full path to the local file that will be uploaded to the server.

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 to include no column, which will generate empty data.
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_localfile(s, "path/to/file.csv", casout=dict(name='time_tbl', replace=True))