Loading

%%time
ashrae_data = loading.load_all()

Looking at timeseries

class InspectTimeseries[source]

InspectTimeseries(train:DataFrame, building:DataFrame=None, dep_var:str='meter_reading')

%%time
it = InspectTimeseries(ashrae_data['meter_train'], building=ashrae_data['building'])

InspectTimeseries.init_widgets[source]

InspectTimeseries.init_widgets(meter:int=0, bid:int=0)

InspectTimeseries.inspect_boldly[source]

InspectTimeseries.inspect_boldly(meter:int=0, bid:int=0)

InspectTimeseries.click_boldly[source]

InspectTimeseries.click_boldly(change)

InspectTimeseries.select_boldly_all[source]

InspectTimeseries.select_boldly_all(df_plot:DataFrame)

InspectTimeseries.select_boldly_random[source]

InspectTimeseries.select_boldly_random(df_plot:DataFrame)

InspectTimeseries.select_boldly_filled_weeks[source]

InspectTimeseries.select_boldly_filled_weeks(df_plot:DataFrame)

InspectTimeseries.select_boldly_outlying[source]

InspectTimeseries.select_boldly_outlying(df_plot:DataFrame)

InspectTimeseries.plot_boldly[source]

InspectTimeseries.plot_boldly(meter:int=None, bid:int=None)

it.inspect_boldly(bid=1)