def _axis_properties(self, axis, key, plot, dimension=None,
ax_mapping={'x': 0, 'y': 1}):
axis_props = super(GeoPlot, self)._axis_properties(axis, key, plot,
dimension, ax_mapping)
if self.geographic:
dimension = 'lon' if axis == 'x' else 'lat'
axis_props['ticker'] = MercatorTicker(dimension=dimension)
axis_props['formatter'] = MercatorTickFormatter(dimension=dimension)
return axis_props
circle = Circle(x="lon",
y="lat",
size=15,
fill_color="fill",
line_color="black")
plot.add_glyph(source, circle)
pan = PanTool()
wheel_zoom = WheelZoomTool()
box_select = BoxSelectTool()
plot.add_tools(pan, wheel_zoom, box_select)
xformatter = MercatorTickFormatter(dimension="lon")
xticker = MercatorTicker(dimension="lon")
xaxis = LinearAxis(formatter=xformatter, ticker=xticker)
plot.add_layout(xaxis, 'below')
yformatter = MercatorTickFormatter(dimension="lat")
yticker = MercatorTicker(dimension="lat")
yaxis = LinearAxis(formatter=yformatter, ticker=yticker)
plot.add_layout(yaxis, 'left')
doc = Document()
doc.add_root(plot)
if __name__ == "__main__":
doc.validate()
filename = "maps.html"
with open(filename, "w") as f:
def prepare_plot(self,
plot_width=700,
plot_height=None,
zoom=None,
map_type='carto_light',
title=None,
**kwargs):
"""
Create the actual plot object (stored in `self.plot`).
Parameters:
plot_width (int): desired plot width, in pixels
plot_height (int): desired plot height, will be calculated
automatically if not supplied
zoom (int): zoom factor for Google Maps, will be calculated
automatically if not supplied
map_type (string): 'satellite', 'roadmap', or 'hybrid'
title (string or tuple): if string, title is added to plot;
if tuple, the first value is the title, and second value
is a dict of kwargs
kwargs: any options passed to Bokeh GMapPlot (title, etc.)
"""
self._validate_workflow('prepare_plot')
zoom_level, lat_center, lng_center, auto_plot_height = gmaps_utils.estimate_zoom(
plot_width,
x_bounds=(self.xmin, self.xmax),
y_bounds=(self.ymin, self.ymax))
if plot_height is None:
plot_height = auto_plot_height
if zoom is None:
zoom = zoom_level
if title is not None:
if isinstance(title, str):
title = Title(text=title)
if isinstance(title, (list, tuple)):
title, title_kwargs = title
title = Title(text=title, **title_kwargs)
if map_type in ('satellite', 'roadmap', 'terrain', 'hybrid'):
if self.api_key is None:
raise ValueError(
'Class must be instantiated with Google Maps API key to use map_type `{}`'
.format(map_type))
map_options = GMapOptions(lat=lat_center,
lng=lng_center,
map_type=map_type,
zoom=zoom)
self.plot = GMapPlot(x_range=Range1d(),
y_range=Range1d(),
map_options=map_options,
plot_width=plot_width,
plot_height=plot_height,
title=title,
**kwargs)
self.plot.api_key = self.api_key
self.plot.add_tools(WheelZoomTool(), ResetTool(), PanTool(),
TapTool())
elif map_type in bokeh_utils.get_tile_source(None):
x_rng, y_rng = self.xmax - self.xmin, self.ymax - self.ymin
x_range = Range1d(start=coordinate_utils.coord_to_webmercator(
self.xmin - (x_rng * self.padding),
precision=self.precision,
longitude=True),
end=coordinate_utils.coord_to_webmercator(
self.xmax + (x_rng * self.padding),
precision=self.precision,
longitude=True))
y_range = Range1d(start=coordinate_utils.coord_to_webmercator(
self.ymin - (y_rng * self.padding),
precision=self.precision,
longitude=False),
end=coordinate_utils.coord_to_webmercator(
self.ymax + (y_rng * self.padding),
precision=self.precision,
longitude=False))
self.plot = Plot(x_range=x_range,
y_range=y_range,
frame_width=plot_width,
frame_height=plot_height,
title=title,
**kwargs)
self.plot.add_tile(bokeh_utils.get_tile_source(map_type))
self.plot.add_tools(WheelZoomTool(), ResetTool(), PanTool(),
TapTool())
xformatter = MercatorTickFormatter(dimension="lon")
xticker = MercatorTicker(dimension="lon")
xaxis = LinearAxis(formatter=xformatter,
ticker=xticker,
axis_line_alpha=0.1,
minor_tick_line_alpha=0.1,
major_tick_line_alpha=0.1,
major_label_text_alpha=0.5)
self.plot.add_layout(xaxis, 'below')
yformatter = MercatorTickFormatter(dimension="lat")
yticker = MercatorTicker(dimension="lat")
yaxis = LinearAxis(formatter=yformatter,
ticker=yticker,
axis_line_alpha=0.1,
minor_tick_line_alpha=0.1,
major_tick_line_alpha=0.1,
major_label_text_alpha=0.5)
self.plot.add_layout(yaxis, 'left')
else:
raise ValueError('Invalid map_type.')
for source_label, source in self.sources.items():
source = self._create_columndatasource(source)
for widget_name in self.widgets.keys():
widget_dict = self.widgets[widget_name]
if widget_dict['source'] == source_label:
widget_dict['filter'].args['source'] = source
for callback_list in widget_dict[
'widget'].js_property_callbacks.values():
for callback in callback_list:
callback.args['source'] = source
if source_label in self.views:
self.views[source_label].source = source
self.columndatasources[source_label] = source
self.validation['prepare_plot'] = True
return self
def __init__(self,
coord_conv_object,
output_filename="path_planning.html",
debug=False):
"""
Init method
Input: optional debug parameter which toogles debug messages
Output: none
"""
self.debug = debug
self.coord_conv = coord_conv_object
# Set output file for Bokeh
output_file(output_filename)
# Set bounds for map plot
use_bounds = False
# range bounds supplied in web mercator coordinates
if use_bounds:
bounds_bottom_left_Geodetic = [54.5, 8]
bounds_top_right_Geodetic = [58, 13]
bounds_bottom_left_PseudoMercator = self.coord_conv.Geodetic2PseudoMercator(
bounds_bottom_left_Geodetic)
bounds_top_right_PseudoMercator = self.coord_conv.Geodetic2PseudoMercator(
bounds_top_right_Geodetic)
print colored(
'Bottom left: lat: %d, lng: %d, x: %d, y: %d' %
(bounds_bottom_left_Geodetic[0],
bounds_bottom_left_Geodetic[1],
bounds_bottom_left_PseudoMercator[0],
bounds_bottom_left_PseudoMercator[1]), 'yellow')
print colored(
' Top right: lat: %d, lng: %d, x: %d, y: %d' %
(bounds_top_right_Geodetic[0], bounds_top_right_Geodetic[1],
bounds_top_right_PseudoMercator[0],
bounds_top_right_PseudoMercator[1]), 'yellow')
self.p = figure(
x_range=(bounds_bottom_left_PseudoMercator[0],
bounds_top_right_PseudoMercator[0]),
y_range=(bounds_bottom_left_PseudoMercator[1],
bounds_top_right_PseudoMercator[1]
)) #, x_axis_type="mercator", y_axis_type="mercator")
else:
self.p = figure()
# alternative way to add lat lng axis due to above commented method does not work, https://github.com/bokeh/bokeh/issues/6986
self.p.xaxis[0].ticker = MercatorTicker(dimension='lon')
self.p.yaxis[0].ticker = MercatorTicker(dimension='lat')
self.p.xaxis[0].formatter = MercatorTickFormatter(dimension='lon')
self.p.yaxis[0].formatter = MercatorTickFormatter(dimension='lat')
self.p.add_tile(CARTODBPOSITRON)
# Add axis labels to plot
self.p.xaxis.axis_label = "Longitude [deg]"
self.p.yaxis.axis_label = "Latitude [deg]"
self.cur_path_color = 0
self.path_end_colors = [
'firebrick', 'seagreen', 'steelblue', 'fuchsia', 'magenta'
]
self.path_colors = ['red', 'green', 'blue', 'deeppink', 'purple']