我正在尝试在叶片地图上创建折线。为此,它需要一组坐标作为列表
将下面[[]]之间的一组坐标读取为一组GPS坐标
进口大叶草
coordinates = [[42.408485,-83.4551716666667],[42.408485,-83.45517],
[42.408485,-83.45516],[42.4084866666667,-83.4551416666667]],
[[42.4085016666667,-83.4547916666667],[42.4085016666667,-83.45479],[42.4085033333333,-83.4547533333333]]
# Create the map and add the line
m = folium.Map(location=[41.9, -97.3], zoom_start=4)
my_PolyLine=folium.PolyLine(locations=coordinates,weight=5)
map_US.add_children(my_PolyLine)
我有一个很大的文件,我正在尝试从文件中实现相同的文件
id long lat
a -84.52694 46.931625
a -84.52684 46.931725
a -94.25526333 42.71689167
a -94.25524667 42.71689333
a -94.25519167 42.716895
a -94.25505167 42.71690833
b -94.25531167 42.71687167
b -94.255205 42.71689
b -94.25515 42.7169
b -94.25507 42.71691167
b -94.25507167 42.71691167
b -94.25511 42.716905
b -94.25514667 42.71689833
b -94.25515667 42.71689667
b -94.255165 42.716895
b -94.25518167 42.71689
c -94.25519167 42.71688833
c -94.25522833 42.71688167
c -94.25523833 42.71688
c -94.25525 42.71688
所有GPS坐标必须组成一个列表并按id列分组,我的代码如下所示
import numpy as np
import folium
from folium import plugins
import pandas as pd
from folium.plugins import HeatMapWithTime
df_acc= pd.read_csv(f)
df_acc['lat_long'] = [', '.join(str(x) for x in y) for y in map(tuple, df_acc[['lat', 'long']].values)]
a=list(df_acc['lat_long'].head(10))
m = folium.Map(location=[41.9, -97.3], zoom_start=4)
my_PolyLine=folium.PolyLine(locations=a,weight=5)
m.add_children(my_PolyLine)
m
这没有给出任何结果,如何在方括号“ a”中添加方括号,并仍然将其显示为float或list
答案 0 :(得分:0)
要获取数据框的行作为列表,您只需获取值
df_acc = pd.read_csv(f)
df
# id long lat
# 0 a -84.526940 46.931625
# 1 a -84.526840 46.931725
# ...
a = df_acc[['lat', 'long']].values
# a
# array([[ 46.931625 , -84.52694 ],
# [ 46.931725 , -84.52684 ],
# ...
您可以将数组a
用作位置列表
要按ID分组:
df_acc.groupby(['id','long','lat']).sum().reset_index().values
# array([['a', -84.52694, 46.931625],
# ['a', -84.52684, 46.931725],
# ...