def get_intersection_image(intersection_data, alpha=1.0):
"""
Get an image of intersection lanes in PNG format
:param intersection_data: dictionary
:param alpha: transparency: between 0.0 amd 1.0
:return: matplotlib.figure.Figure
"""
fig, ax = plot_lanes(
intersection_data['merged_lanes'],
fig=None,
ax=None,
cropped_intersection=intersection_data['cropped_intersection'],
fig_height=15,
fig_width=15,
axis_off=False,
edge_linewidth=1,
margin=0.02,
bgcolor='#CCFFE5',
edge_color='w', # '#FF9933',o
alpha=alpha)
fig, ax = plot_lanes(intersection_data['merged_tracks'],
fig=fig,
ax=ax,
cropped_intersection=None,
fig_height=15,
fig_width=15,
axis_off=False,
edge_linewidth=1,
margin=0.02,
fcolor='#C0C0C0',
edge_color='#000000',
alpha=alpha,
linestyle='solid')
fig, ax = plot_lanes(intersection_data['merged_cycleways'],
fig=fig,
ax=ax,
cropped_intersection=None,
fig_height=15,
fig_width=15,
axis_off=False,
edge_linewidth=1,
margin=0.02,
fcolor='#00FF00',
edge_color='#00FF00',
alpha=alpha,
linestyle='solid')
return fig
def get_guideway_image(guideways,
intersection_data,
fc='#FFFF66',
ec='b',
alpha=1.0):
"""
Get an image of guideways in PNG format
:param guideways: list of dictionaries
:param intersection_data: dictionary
:param alpha: transparency: between 0.0 amd 1.0
:return: matplotlib.figure.Figure
"""
fig, ax = plot_lanes(
intersection_data['merged_lanes'],
fig=None,
ax=None,
cropped_intersection=intersection_data['cropped_intersection'],
fig_height=15,
fig_width=15,
axis_off=False,
edge_linewidth=1,
margin=0.02,
bgcolor='#CCFFE5',
edge_color='#FF9933',
alpha=alpha)
fig, ax = plot_lanes(intersection_data['merged_tracks'],
fig=fig,
ax=ax,
cropped_intersection=None,
fig_height=15,
fig_width=15,
axis_off=False,
edge_linewidth=1,
margin=0.02,
fcolor='#C0C0C0',
edge_color='#000000',
alpha=alpha,
linestyle='solid')
guideway_fig, guideway_ax = plot_guideways(guideways,
fig=fig,
ax=ax,
alpha=alpha,
fc=fc,
ec=ec)
return guideway_fig
def get_blind_zone_image(blind_zone,
current_guideway,
intersection_data,
blocks=None,
alpha=1.0,
fc='r',
ec='r'):
"""
Get an image of a list of conflict zones in PNG format
:param blind_zone: blind zone dictionary
:param current_guideway: guideway dictionary
:param intersection_data: intersection dictionary
:param fc: foreground color
:param ec: edge color
:param alpha: transparency: between 0.0 amd 1.0
:param blocks: reserved for future use
:return: matplotlib.figure.Figure
"""
fig, ax = plot_lanes(
intersection_data['merged_lanes'],
fig=None,
ax=None,
cropped_intersection=intersection_data['cropped_intersection'],
fig_height=15,
fig_width=15,
axis_off=False,
edge_linewidth=1,
margin=0.02,
bgcolor='#CCFFE5',
edge_color='#FF9933',
alpha=alpha)
fig, ax = plot_lanes(intersection_data['merged_tracks'],
fig=fig,
ax=ax,
cropped_intersection=None,
fig_height=15,
fig_width=15,
axis_off=False,
edge_linewidth=1,
margin=0.02,
fcolor='#C0C0C0',
edge_color='#000000',
alpha=alpha,
linestyle='solid')
if blind_zone is None:
return fig
blind_zone_fig, blind_zone_ax = plot_sector(
current_guideway=current_guideway,
x_data=intersection_data,
blocks=blocks,
point_of_view=blind_zone['geo_point'],
conflict_zone=blind_zone['conflict_zone'],
fig=fig,
ax=ax,
blind_zone=blind_zone['polygon'],
fc=fc,
ec=ec)
return blind_zone_fig