"""Rail network transer map
"""
import os
import sys
from collections import OrderedDict
import numpy as np
import geopandas as gpd
import pandas as pd
import cartopy.crs as ccrs
import cartopy.io.shapereader as shpreader
import matplotlib.pyplot as plt
import numpy as np
from shapely.geometry import LineString
from vtra.utils import *
[docs]def main():
config = load_config()
plot_sets = [
{
'file_tag': 'commodities',
'no_access': [0, 1],
'legend_label': "AADF (tons/day)",
'divisor': 1,
'columns': ['min_tons', 'max_tons'],
'title_cols': ['Total tonnage (min)', 'Total tonnage (max)']
},
]
color = '#006d2c'
color_by_type = {'Rail Line': color}
region_file_path = os.path.join(config['paths']['data'], 'post_processed_networks',
'rail_edges.shp')
flow_file_path = os.path.join(config['paths']['output'], 'failure_results','minmax_combined_scenarios',
'single_edge_failures_transfers_national_road_10_percent_shift.csv')
region_file = gpd.read_file(region_file_path,encoding='utf-8')
flow_file = pd.read_csv(flow_file_path)
region_file = pd.merge(region_file,flow_file,how='left', on=['edge_id']).fillna(0)
del flow_file
region_file = region_file[region_file['edge_id'] != 0]
for plot_set in plot_sets:
for c in range(len(plot_set['columns'])):
ax = get_axes()
plot_basemap(ax, config['paths']['data'], highlight_region=[])
scale_bar(ax, location=(0.8, 0.05))
plot_basemap_labels(ax, config['paths']['data'],plot_international_left=False)
proj_lat_lon = ccrs.PlateCarree()
column = plot_set['columns'][c]
weights = [
record[column]
for iter_,record in region_file.iterrows()
]
max_weight = max(weights)
width_by_range = generate_weight_bins(weights)
geoms_by_range = {}
for value_range in width_by_range:
geoms_by_range[value_range] = []
for iter_,record in region_file.iterrows():
val = record[column]
geom = record.geometry
for nmin, nmax in geoms_by_range:
if nmin <= val and val < nmax:
geoms_by_range[(nmin, nmax)].append(geom)
# plot
for range_, width in width_by_range.items():
ax.add_geometries(
[geom.buffer(width) for geom in geoms_by_range[range_]],
crs=proj_lat_lon,
edgecolor='none',
facecolor=color,
zorder=2)
x_l = 102.3
x_r = x_l + 0.4
base_y = 14
y_step = 0.4
y_text_nudge = 0.1
x_text_nudge = 0.1
ax.text(
x_l,
base_y + y_step - y_text_nudge,
plot_set['legend_label'],
horizontalalignment='left',
transform=proj_lat_lon,
size=10)
divisor = plot_set['divisor']
for (i, ((nmin, nmax), width)) in enumerate(width_by_range.items()):
y = base_y - (i*y_step)
line = LineString([(x_l, y), (x_r, y)])
ax.add_geometries(
[line.buffer(width)],
crs=proj_lat_lon,
linewidth=0,
edgecolor=color,
facecolor=color,
zorder=2)
if nmin == max_weight:
label = '>{:.2f}'.format(max_weight/divisor)
else:
label = '{:.2f}-{:.2f}'.format(nmin/divisor, nmax/divisor)
ax.text(
x_r + x_text_nudge,
y - y_text_nudge,
label,
horizontalalignment='left',
transform=proj_lat_lon,
size=10)
plt.title('Road transfers - ' + plot_set['title_cols'][c], fontsize=14)
print ('* Plotting ',plot_set['title_cols'][c])
output_file = os.path.join(
config['paths']['figures'],
'rail_flow-map-transfer-road-10-shift-{}-{}.png'.format(
plot_set['file_tag'], column))
save_fig(output_file)
plt.close()
if __name__ == '__main__':
main()