def plot(df, norm, data_path, label):
"""Plot df
"""
cmap = plt.cm.ScalarMappable(norm=norm, cmap='magma_r')
df['color'] = df.value.apply(cmap.to_rgba)
# basemap
proj_lat_lon = ccrs.PlateCarree()
ax = get_axes()
plot_basemap(ax, data_path)
scale_bar(ax, location=(0.8, 0.05))
plot_basemap_labels(ax, data_path, include_regions=False)
# zones
for zone in df.itertuples():
ax.add_geometries([zone.geometry],
crs=proj_lat_lon,
edgecolor='none',
facecolor=zone.color,
zorder=3)
cmap.set_array(df.value)
cbar = plt.colorbar(cmap,
ax=ax,
fraction=0.05,
pad=0.04,
drawedges=False,
shrink=0.9,
orientation='horizontal')
cbar.outline.set_color("none")
cbar.ax.set_xlabel(label)
def main(config):
"""Read shapes, plot map
"""
output_file = os.path.join(config['paths']['figures'], 'admin-map.png')
ax = get_axes()
plot_basemap(ax, config['paths']['data'])
scale_bar(ax, location=(0.8, 0.05))
plot_basemap_labels(ax, config['paths']['data'], include_regions=True)
save_fig(output_file)
def main(config):
"""Read shapes, plot map
"""
data_path = config['paths']['data']
# data
output_file = os.path.join(config['paths']['figures'], 'network-water-map.png')
water_edge_file = os.path.join(data_path, 'network', 'port_edges.shp')
water_node_file = os.path.join(data_path, 'network', 'port_nodes.shp')
# basemap
proj_lat_lon = ccrs.PlateCarree()
ax = get_axes()
plot_basemap(ax, data_path)
scale_bar(ax, location=(0.8, 0.05))
plot_basemap_labels(ax, data_path, include_regions=True)
colors = {
'Waterway': '#045a8d',
'Port': '#54278f'
}
# edges
edges = geopandas.read_file(water_edge_file)
ax.add_geometries(
list(edges.geometry.buffer(0.02)),
crs=proj_lat_lon,
edgecolor='none',
facecolor=colors['Waterway'],
zorder=4
)
# nodes
nodes = geopandas.read_file(water_node_file)
nodes = nodes[nodes['name']!='none']
ax.scatter(
list(nodes.geometry.x),
list(nodes.geometry.y),
transform=proj_lat_lon,
facecolor=colors['Port'],
s=4,
zorder=5
)
# legend
legend_handles = [
mpatches.Patch(color=color, label=label)
for label, color in colors.items()
]
plt.legend(handles=legend_handles, loc='lower left')
# save
save_fig(output_file)
def main(config):
"""Read shapes, plot map
"""
data_path = config['paths']['data']
# data
output_file = os.path.join(config['paths']['figures'],
'network-air-map.png')
air_edge_file = os.path.join(data_path, 'network', 'air_edges.shp')
air_node_file = os.path.join(data_path, 'network', 'air_nodes.shp')
# air_usage_file = os.path.join(data_path, 'usage', 'air_passenger.csv')
# basemap
proj_lat_lon = ccrs.PlateCarree()
ax = get_axes()
plot_basemap(ax, data_path)
scale_bar(ax, location=(0.8, 0.05))
plot_basemap_labels(ax, data_path, include_regions=False)
colors = {'Air route': '#252525', 'Airport': '#d95f0e'}
# edges
edges = geopandas.read_file(air_edge_file)
ax.add_geometries(list(edges.geometry),
crs=proj_lat_lon,
linewidth=1.5,
edgecolor=colors['Air route'],
facecolor='none',
zorder=4)
# edges merged with usage
# usage = pandas.read_csv(air_usage_file)
# edges_with_usage = edges.merge(usage[['id', 'passengers_2016']], on='id')
# nodes
nodes = geopandas.read_file(air_node_file)
ax.scatter(list(nodes.geometry.x),
list(nodes.geometry.y),
transform=proj_lat_lon,
facecolor=colors['Airport'],
s=12,
zorder=5)
# legend
legend_handles = [
mpatches.Patch(color=color, label=label)
for label, color in colors.items()
]
plt.legend(handles=legend_handles, loc='lower left')
# save
save_fig(output_file)
def main(config):
"""Read shapes, plot map
"""
data_path = config['paths']['data']
# data
output_file = os.path.join(config['paths']['figures'],
'network-road-map.png')
road_edge_file_national = os.path.join(data_path, 'network',
'road_edges_national.shp')
road_edge_file_provincial = os.path.join(data_path, 'network',
'road_edges_provincial.shp')
# basemap
proj_lat_lon = ccrs.PlateCarree()
ax = get_axes()
plot_basemap(ax, data_path)
scale_bar(ax, location=(0.8, 0.05))
plot_basemap_labels(ax, data_path, include_regions=False)
colors = {'National': '#ba0f03', 'Provincial': '#e0881f'}
# edges
edges_provincial = geopandas.read_file(road_edge_file_provincial)
ax.add_geometries(list(edges_provincial.geometry),
crs=proj_lat_lon,
linewidth=1.25,
edgecolor=colors['Provincial'],
facecolor='none',
zorder=4)
edges_national = geopandas.read_file(road_edge_file_national)
ax.add_geometries(list(edges_national.geometry),
crs=proj_lat_lon,
linewidth=1.25,
edgecolor=colors['National'],
facecolor='none',
zorder=5)
# legend
legend_handles = [
mpatches.Patch(color=color, label=label)
for label, color in colors.items()
]
plt.legend(handles=legend_handles, loc='lower left')
# save
save_fig(output_file)
def main(config):
"""Read shapes, plot map
"""
data_path = config['paths']['data']
# data
output_file = os.path.join(config['paths']['figures'],
'network-rail-map.png')
rail_edge_file = os.path.join(data_path, 'network', 'rail_edges.shp')
rail_node_file = os.path.join(data_path, 'network', 'rail_nodes.shp')
# basemap
proj_lat_lon = ccrs.PlateCarree()
ax = get_axes()
plot_basemap(ax, data_path)
scale_bar(ax, location=(0.8, 0.05))
plot_basemap_labels(ax, data_path, include_regions=False)
colors = {'Railway': '#006d2c', 'Station': '#003312'}
# edges
edges = geopandas.read_file(rail_edge_file)
ax.add_geometries(list(edges.geometry),
crs=proj_lat_lon,
linewidth=1.25,
edgecolor=colors['Railway'],
facecolor='none',
zorder=4)
# nodes
nodes = geopandas.read_file(rail_node_file)
ax.scatter(list(nodes.geometry.x),
list(nodes.geometry.y),
transform=proj_lat_lon,
facecolor=colors['Station'],
s=4,
zorder=5)
# legend
legend_handles = [
mpatches.Patch(color=color, label=label)
for label, color in colors.items()
]
plt.legend(handles=legend_handles, loc='lower left')
# save
save_fig(output_file)