本文整理汇总了Python中bokeh.models.GMapPlot.api_key方法的典型用法代码示例。如果您正苦于以下问题：Python GMapPlot.api_key方法的具体用法？Python GMapPlot.api_key怎么用？Python GMapPlot.api_key使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类bokeh.models.GMapPlot的用法示例。
在下文中一共展示了GMapPlot.api_key方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: main
# 需要导入模块: from bokeh.models import GMapPlot [as 别名]
# 或者: from bokeh.models.GMapPlot import api_key [as 别名]
#.........这里部分代码省略.........
descr = child.get('Description')
healtheffect = child.get('HealthEffect')
elif app.vars['species'] == 'sulphur dioxide':
for child in root.findall(".//*[@SpeciesCode='SO2']/..[@Latitude]"):
x = child.get('Latitude')
latitudes.append(x)
x = child.get('SiteName')
sites.append(x)
x = child.get('Longitude')
longitudes.append(x)
x = child.get('BulletinDate')
app.vars['date'] = x
for child in root.findall(".//*[@SpeciesCode='SO2']"):
x = child.get('AirQualityIndex')
AQIs.append(x)
for child in info_root.findall(".//*[@SpeciesCode='SO2']"):
descr = child.get('Description')
healtheffect = child.get('HealthEffect')
for AQI in AQIs:
if AQI =='0':
AQI_color = AQI.replace('0','grey')
if AQI =='1':
AQI_color = AQI.replace('1','forestgreen')
if AQI =='2':
AQI_color = AQI.replace('2','lawngreen')
if AQI =='3':
AQI_color = AQI.replace('3','gold')
if AQI =='4':
AQI_color = AQI.replace('4','darkorange')
if AQI =='5':
AQI_color = AQI.replace('5','orangered')
if AQI =='6':
AQI_color = AQI.replace('6','red')
if AQI =='7':
AQI_color = AQI.replace('7','magenta')
if AQI =='8':
AQI_color = AQI.replace('6','blueviolet')
if AQI =='9':
AQI_color = AQI.replace('9','blue')
if AQI =='10':
AQI_color = AQI.replace('10','black')
AQI_colors.append(AQI_color)
map_options = GMapOptions(lat=51.4908308, lng=-0.1407765, map_type="roadmap", zoom=10)
plot = GMapPlot(x_range=DataRange1d(), y_range=DataRange1d(), map_options=map_options, plot_width=740, plot_height=650, toolbar_location="below")
# plot.title.text= "AQIs"
plot.api_key="AIzaSyA7Adc9av0W2hSf72F3VwepL-MqQvs5Hes"
#
source = ColumnDataSource(
data = dict(
lat = latitudes,
lon = longitudes,
color = AQI_colors,
sites = sites,
AQIs = AQIs))
#
#
circle = Circle(x = "lon", y = "lat", size=14, fill_color="color", fill_alpha=0.5, line_color=None)
plot.add_glyph(source, circle)
#
#
plot.add_tools(PanTool(), WheelZoomTool(), BoxSelectTool(), HoverTool())
#
#
hover = plot.select(dict(type=HoverTool))
#
#
#
hover.tooltips="""
<!DOCTYPE html>
<html lang="en">
<head>
<link rel=stylesheet type=text/css href='{{ url_for('static',filename='style_input_ht.css')}}'>
<div>
<div>
<span style="font-size: 17px; color:black;">@sites</span>
</div>
<div>
<span style="font-size: 15px; color: black;">AQI</span>
<span style="font-size: 15px; color: black;">@AQIs</span>
</div>
</div>
"""
script, div = components(plot)
output_file('templates/map.html')
# save(plot)
return render_template('map.html', script=script, div=div, species=app.vars['species'], date=app.vars['date'])#, descr=descr, healtheffect=healtheffect)示例2: GMapOptions
# 需要导入模块: from bokeh.models import GMapPlot [as 别名]
# 或者: from bokeh.models.GMapPlot import api_key [as 别名]
GMapPlot, GMapOptions, ColumnDataSource, Circle, DataRange1d, PanTool, WheelZoomTool, BoxSelectTool
)
map_options = GMapOptions(lat=38.5, lng=-121.5, map_type="roadmap", zoom=10)
plot = GMapPlot(
x_range=DataRange1d(), y_range=DataRange1d(), map_options=map_options
)
#plot.title.text = "Austin"
# For GMaps to function, Google requires you obtain and enable an API key:
#
# https://developers.google.com/maps/documentation/javascript/get-api-key
#
# Replace the value below with your personal API key:
plot.api_key = API_KEY
with open("incidents.json") as f:
incidents = json.load(f)
pts = [x['point']['coordinates'] for x in incidents]
source = ColumnDataSource(
data=dict(
lat=[x[0] for x in pts],
lon=[x[1] for x in pts],
)
)
circle = Circle(x="lon", y="lat", size=15, fill_color="blue", fill_alpha=0.8, line_color=None)