Row-oriented dataset. Timeseries data layout with a column header and a data row per timestamp. Result for render options data_axis=column and header_array=row.",
| Name | Type | Description | Notes |
|---|---|---|---|
| attributes | DataSetAttributes | [optional] | |
| window_spec | DataSetWindow | [optional] | |
| data_axis | RowDataSetDataAxis | [optional] [default to RowDataSetDataAxis.COLUMN] | |
| columns | List[ColumnHeadersInner] | Header Attributes for the column data. The initial string-valued headers (normally a single `timestamp`) indicate that column to contain row index data (i.e. timestamps). The remaining object-valued column headers identify and describe the actual series data. | |
| data | List[List[Datum]] |
from waylay.services.queries.models.row_data_set import RowDataSet
# TODO update the JSON string below
json = "{}"
# create an instance of RowDataSet from a JSON string
row_data_set_instance = RowDataSet.from_json(json)
# print the JSON string representation of the object
print RowDataSet.to_json()
# convert the object into a dict
row_data_set_dict = row_data_set_instance.to_dict()
# create an instance of RowDataSet from a dict
row_data_set_form_dict = row_data_set.from_dict(row_data_set_dict)