在Jupyter Notebook中使用geopy和matplotlib绘制地图 [英] Plotting a Map with geopy and matplotlib in Jupyter Notebook
问题描述
我正在尝试绘制美国地图并标记全国各地的城市.我得到了要工作的地图.但是我遇到两个问题:第一个是,我收到此错误消息:
I am trying to plot a map of the US and mark the various cities across the country. I got the map to work. But I am having two issues: the first is, I am getting this error message:
AttributeError:"NoneType"对象没有属性经度"
AttributeError: 'NoneType' object has no attribute 'longitude'
第二,我尝试使用plt.figsize
属性来放大图形,但是我的地图仍然保持不变.
Secondly, I have tried to enlarge the graph using the plt.figsize
attribute however my map still stays the same size.
最后,这并不是真正的问题,但是如果我想用城市名称标记点,该怎么办?
Lastly, this is not really an issue but what if i wanted to label the dots with the city names How can i do so?
这是我的地图代码:
import matplotlib.pyplot as plt
from mpl_toolkits.basemap import Basemap
from geopy.geocoders import Nominatim
import math
city_list = list(flight_data["OriginCityName"].unique())
cities = city_list
scale = 1
map = Basemap(width=10000000,height=6000000,projection='lcc',
resolution=None,lat_1=45.,lat_2=55,lat_0=50,lon_0=-107.)
plt.figure(figsize=(19,20))
map.bluemarble()
# Get the location of each city and plot it
geolocator = Nominatim()
for city in cities:
loc = geolocator.geocode(city)
if not loc:
print("Could not locate {}".format(city))
continue
x, y = map(loc.longitude, loc.latitude)
map.plot(x,y,marker='o',color='Red',markersize=5)
plt.annotate(city, xy = (x,y), xytext=(-20,20))
plt.show()
推荐答案
-
我想您的city_list中存在某些问题,Nominatim无法解决.我在下面添加了一张支票.
I guess there is something in your city_list Nominatim can't resolve. I added a check for that below.
您必须先致电figure(num=1,figsize=(8,9))
,然后再绘制任何内容(此处为地图).
You have to call figure(num=1,figsize=(8,9))
before you plot anything (here: the map).
您可以使用 plt.annotate
,请参见在下面.
You can use plt.annotate
, see below.
希望这会有所帮助.
for city in cities:
loc = geolocator.geocode(city)
if not loc:
print("Could not locate {}".format(city))
continue
x, y = map(loc.longitude, loc.latitude)
map.plot(x,y,marker='o',color='Red',markersize=int(math.sqrt(count))*scale)
plt.annotate(city, xy = (x,y), xytext=(-20,20))
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