flexmeasures.data.models.charts.belief_charts
Functions
- flexmeasures.data.models.charts.belief_charts.bar_chart(sensor: Sensor, event_starts_after: datetime | None = None, event_ends_before: datetime | None = None, **override_chart_specs: dict)
Generates specifications for a bar chart using sensor data. This function leverages the create_bar_chart_or_histogram_specs helper function to create the specifications.
- flexmeasures.data.models.charts.belief_charts.chart_for_chargepoint_sessions(sensors_to_show, event_starts_after=None, event_ends_before=None, combine_legend=True, **override_chart_specs) dict
- flexmeasures.data.models.charts.belief_charts.chart_for_multiple_sensors(sensors_to_show: list['Sensor' | list['Sensor'] | dict[str, 'Sensor']], event_starts_after: datetime | None = None, event_ends_before: datetime | None = None, combine_legend: bool = True, **override_chart_specs: dict)
- flexmeasures.data.models.charts.belief_charts.create_bar_chart_or_histogram_specs(sensor: Sensor, event_starts_after: datetime | None = None, event_ends_before: datetime | None = None, chart_type: str = 'bar_chart', **override_chart_specs: dict)
This function generates the specifications required to visualize sensor data either as a bar chart or a histogram. The chart type (bar_chart or histogram) can be specified, and various field definitions are set up based on the sensor attributes and event time range. The resulting specifications can be customized further through additional keyword arguments.
The function handles the following: - Determines unit and formats for the sensor data. - Configures event value and event start field definitions. - Sets the appropriate mark type and interpolation based on sensor attributes. - Defines chart specifications for both bar charts and histograms, including titles, axis configurations, and tooltips. - Merges any additional specifications provided through keyword arguments into the final chart specifications.
- flexmeasures.data.models.charts.belief_charts.create_circle_layer(sensors: list[Sensor], event_start_field_definition: dict, event_value_field_definition: dict, sensor_field_definition: dict, shared_tooltip: list)
- flexmeasures.data.models.charts.belief_charts.create_fall_dst_transition_layer(timezone, mark, event_value_field_definition, event_start_field_definition, tooltip, split: str) dict
Special layer for showing data during the daylight savings time transition in fall.
- flexmeasures.data.models.charts.belief_charts.create_line_layer(sensors: list[Sensor], event_start_field_definition: dict, event_value_field_definition: dict, sensor_field_definition: dict, combine_legend: bool)
- flexmeasures.data.models.charts.belief_charts.create_rect_layer(event_start_field_definition: dict, event_value_field_definition: dict, shared_tooltip: list)
- flexmeasures.data.models.charts.belief_charts.daily_heatmap(sensor: Sensor, event_starts_after: datetime | None = None, event_ends_before: datetime | None = None, **override_chart_specs: dict)
- flexmeasures.data.models.charts.belief_charts.heatmap(sensor: Sensor, event_starts_after: datetime | None = None, event_ends_before: datetime | None = None, split: str = 'weekly', **override_chart_specs: dict)
- flexmeasures.data.models.charts.belief_charts.histogram(sensor: Sensor, event_starts_after: datetime | None = None, event_ends_before: datetime | None = None, **override_chart_specs: dict)
Generates specifications for a histogram chart using sensor data. This function leverages the create_bar_chart_or_histogram_specs helper function, specifying chart_type as ‘histogram’.