pandas 如何通过一些标签从大叶地图组上的熊猫数据框中绘制纬度和经度
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how to plot lat and long from pandas dataframe on folium map group by some labels
提问by Neil
I have pandas dataframe like following
我有如下所示的Pandas数据框
Latitude Longitude Class
40.7145 -73.9425 A
40.7947 -73.9667 B
40.7388 -74.0018 A
40.7539 -73.9677 B
I want to plot above on folium map which will also display class associated with lat and long.
I am using following code.
我想在上面绘制大叶地图，该地图还将显示与纬度和经度相关的类。
我正在使用以下代码。
import folium
map_osm = folium.Map(location=[40.742, -73.956])
train_df.apply(lambda row:folium.CircleMarker(location=[row["Latitude"],
row["Longitude"]]).add_to(map_osm),
axis=1)
How to plot and display class as well so that on map its easier to understand Class wise distribution of points.
如何绘制和显示类别，以便在地图上更容易理解点的类别分布。
回答by Bob Haffner
You could change the fill color of the CircleMarkers. Maybe add some popups or perhaps label them
您可以更改 CircleMarkers 的填充颜色。也许添加一些弹出窗口或标记它们
train_df
Latitude Longitude Class
0 40.7145 -73.9425 A
1 40.7947 -73.9667 B
2 40.7388 -74.0018 A
3 40.7539 -73.9677 B
Using colors to distinguish class with a simple dict
使用颜色通过简单的字典来区分类别
colors = {'A' : 'red', 'B' : 'blue'}
map_osm = folium.Map(location=[40.742, -73.956], zoom_start=11)
train_df.apply(lambda row:folium.CircleMarker(location=[row["Latitude"], row["Longitude"]],
radius=10, fill_color=colors[row['Class']])
.add_to(map_osm), axis=1)
map_osm
Using colors and popups
使用颜色和弹出窗口
colors = {'A' : 'red', 'B' : 'blue'}
map_osm = folium.Map(location=[40.742, -73.956], zoom_start=11)
train_df.apply(lambda row:folium.CircleMarker(location=[row["Latitude"], row["Longitude"]],
radius=10, fill_color=colors[row['Class']], popup=row['Class'])
.add_to(map_osm), axis=1)
map_osm
Using colors and 'labels' using DivIcon. Switched to using iterrows() and a for loop since we are creating CircleMarkers and Markers (for the labels)
使用 DivIcon 使用颜色和“标签”。切换到使用 iterrows() 和 for 循环，因为我们正在创建 CircleMarkers 和 Markers（用于标签）
from folium.features import DivIcon
colors = {'A' : 'red', 'B' : 'blue'}
map_osm = folium.Map(location=[40.742, -73.956], zoom_start=11)
for _, row in train_df.iterrows():
folium.CircleMarker(location=[row["Latitude"], row["Longitude"]],
radius=5, fill_color=colors[row['Class']]).add_to(map_osm)
folium.Marker(location=[row["Latitude"], row["Longitude"]], icon=DivIcon(icon_size=(150,36), icon_anchor=(0,0),
html='<div style="font-size: 16pt; color : {}">{}</div>'.format(colors[row['Class']],
row['Class']))).add_to(map_osm)
map_osm
