问题描述
我有一个商店位置文件,我试图将其绘制到纽约市地图上。到目前为止,我一直在使用以下两个链接作为我的指南,但我一直无法使代码正常工作。
import geopandas
import geoplot
import pandas as pd
from shapely.geometry import Point,polygon
store_locDF=pd.read_csv('stores.csv') #Import file
cols_to_keep=['store_longitude','store_latitude']
store_locDF = store_locDF[store_locDF.columns.intersection(cols_to_keep)] #Keep only long and lat
#Convert long and lat to "points"
geometry = [Point(xy) for xy in zip( store_locDF["store_longitude"],store_locDF["store_latitude"])]
#Store geometry in dataframe
store_locDF['geometry']=geometry
#print(store_locDF.head())
boroughs = geopandas.read_file(geoplot.datasets.get_path('nyc_boroughs'))
ax=geoplot.polyplot(boroughs,edgecolor='white',facecolor='lightgray',figsize=(12,8))
geoplot.polyplot(geometry,ax=ax) #<--Didnt work
#geoplt.pointplot(geometry,ax=ax) <--Also didnt work
''''
The error I am getting is:
ValueError Traceback (most recent call last)
<ipython-input-12-3c7d64229a6c> in <module>
19 ax=geoplot.polyplot(boroughs,8))
20
---> 21 geoplot.polyplot(geometry,ax=ax)
~\anaconda3\envs\IST 652\lib\site-packages\geoplot\geoplot.py in polyplot(df,projection,extent,figsize,ax,**kwargs)
917 return ax
918
--> 919 plot = polyPlot(df,figsize=figsize,ax=ax,extent=extent,projection=projection,**kwargs)
920 return plot.draw()
921
~\anaconda3\envs\IST 652\lib\site-packages\geoplot\geoplot.py in __init__(self,df,**kwargs)
881 class polyPlot(Plot):
882 def __init__(self,**kwargs):
--> 883 super().__init__(df,**kwargs)
884
885 def draw(self):
~\anaconda3\envs\IST 652\lib\site-packages\geoplot\geoplot.py in __init__(self,**kwargs)
614 # self when it is asked for its geometry property,and so it will never be the source
615 # of this error.
--> 616 raise ValueError(
617 'The input GeoDataFrame does not have a "geometry" column set.'
618 )
ValueError: The input GeoDataFrame does not have a "geometry" column set.
Any help is appreciated
解决方法
正如评论者“Paul H”所说,问题在于我提供的是列表而不是地理数据框。以下是工作代码:
import geopandas
import geoplot
import pandas as pd
from shapely.geometry import Point,Polygon
import matplotlib.pyplot as plt
store_locDF=pd.read_csv('stores.csv')
cols_to_keep=['store_longitude','store_latitude']
crs={'init':'epsg:4326'}
boroughs = geopandas.read_file(geoplot.datasets.get_path('nyc_boroughs'))
geo_df=geopandas.GeoDataFrame(store_locDF,crs=crs,geometry=geopandas.points_from_xy(store_locDF["store_longitude"],store_locDF["store_latitude"]))
fig,ax=plt.subplots(figsize=(15,15))
boroughs.plot(ax=ax,alpha=0.4,color="grey")
geo_df[geo_df['active_yn']=="Y"].plot(ax=ax,markersize=200,color="green",label="Active Store")
geo_df[geo_df['active_yn']=="N"].plot(ax=ax,color="red",label="Inactive Stores")
plt.legend()