arbis_matched["TLCar"] = arbis_matched["TLCar"].astype('int64')
arbis_matched["TLHGV"] = arbis_matched["TLHGV"].astype('int64')
# Add month of roadwork
arbis_matched['Month'] = arbis_imported['Von'].dt.strftime('%b')
months = [
'Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct',
'Nov', 'Dec'
]
##################
### Congestion ###
##################
plot_congestion_dist([
"TempMax", "TempAvg", "SpatMax", "SpatAvg", "TempDist", "SpatDist",
"Coverage", "TLCar", "TLHGV"
], arbis_matched, plot_path, file_prefix, save_plot, show_plot)
plot_congestion_scatter(["TempMax"], ["SpatMax"], arbis_matched, plot_path,
file_prefix, save_plot, show_plot)
plot_congestion_scatter(["TempAvg"], ["SpatAvg"], arbis_matched, plot_path,
file_prefix, save_plot, show_plot)
plot_congestion_scatter(["TempDist"], ["SpatDist"], arbis_matched,
plot_path, file_prefix, save_plot, show_plot)
plot_congestion_scatter(["TLCar"], ["TLHGV"], arbis_matched, plot_path,
file_prefix, save_plot, show_plot)
##################
# select temporal outside, 0 - 30
baysis_selected = baysis_selected.loc[(baysis_selected["TempIL"].isin(
[-1, 1, 2]))]
# select spatial before or during
baysis_selected = baysis_selected.loc[(baysis_selected["SpatGL"].isin(
[1, 2]))]
####################################
### Congestion (Before Cleaning) ###
####################################
plot_congestion_dist([
"TempMax", "TempAvg", "SpatMax", "SpatAvg", "TempDist", "SpatDist",
"Coverage", "TLCar", "TLHGV"
], baysis_selected, plot_path + 'cong_before_clean/', file_prefix,
save_plot, show_plot)
################
### Cleaning ###
################
baysis_selected = baysis_selected.drop(
baysis_selected[baysis_selected['SpatMax'] > 50000].index)
####################################
### Congestion (After Cleaning) ###
####################################
plot_congestion_dist([
arbis_matched["TimeLossCar"] = arbis_matched["TimeLossCar"].astype('int64')
arbis_matched["TimeLossHGV"] = arbis_matched["TimeLossHGV"].astype('int64')
# Add month of roadwork
arbis_matched['Month'] = arbis_imported['Von'].dt.strftime('%b')
months = [
'Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct',
'Nov', 'Dec'
]
##################
### Congestion ###
##################
plot_congestion_dist([
"TempExMax", "SpatExMax", "TempDist", "SpatDist", "Coverage",
"TimeLossCar", "TimeLossHGV"
], arbis_matched, plot_path, file_prefix, save_plot, show_plot)
plot_congestion_scatter(["TempExMax"], ["SpatExMax"], arbis_matched,
plot_path, file_prefix, save_plot, show_plot)
plot_congestion_scatter(["TempDist"], ["SpatDist"], arbis_matched,
plot_path, file_prefix, save_plot, show_plot)
plot_congestion_scatter(["TimeLossCar"], ["TimeLossHGV"], arbis_matched,
plot_path, file_prefix, save_plot, show_plot)
locators = [
"temporalGlobalLoc", "spatialGlobalLoc", "temporalInternalLoc",
"spatialInternalLoc"
]