TimeSeries
TimeSeries(data)Time series data
Attributes
| Name | Description |
|---|---|
| gtype | Geometry type |
| n_points | Number of data points |
| name | Name of time series (value item name) |
| node | node-coordinate |
| plot | Plot using the ComparerPlotter |
| quantity | Quantity of time series |
| time | Time index |
| values | Values as numpy array |
| x | x-coordinate |
| y | y-coordinate |
Methods
| Name | Description |
|---|---|
| copy | Create a deep copy of the TimeSeries. |
| equals | Check if two TimeSeries are equal |
| sel | Select data by label |
| to_dataframe | Convert matched data to pandas DataFrame |
| trim | Trim observation data to a given time interval |
copy
TimeSeries.copy()Create a deep copy of the TimeSeries.
Returns
| Name | Type | Description |
|---|---|---|
| TimeSeries | Deep copy of the TimeSeries object |
equals
TimeSeries.equals(other)Check if two TimeSeries are equal
sel
TimeSeries.sel(**kwargs)Select data by label
to_dataframe
TimeSeries.to_dataframe()Convert matched data to pandas DataFrame
Include x, y coordinates only if gtype=track
Returns
| Name | Type | Description |
|---|---|---|
| pd.DataFrame | data as a pandas DataFrame |
trim
TimeSeries.trim(start_time=None, end_time=None, buffer='1s', no_overlap='error')Trim observation data to a given time interval
Parameters
| Name | Type | Description | Default |
|---|---|---|---|
| start_time | pd.Timestamp | start time | None |
| end_time | pd.Timestamp | end time | None |
| buffer | str | buffer time around start and end time, by default “1s” | '1s' |
| no_overlap | Literal['ignore', 'error', 'warn'] | Empty data handling. | 'error' |