我运行了https://nbviewer.jupyter.org/gist/ocefpaf/20aa2e74e11db30da2ff07c45cd74816的大叶地图上的该大叶示例图像显示
我在spyder上运行了该程序,尽管它在jupyter上运行正常
import numpy as np
import pandas as pd
import numpy.ma as ma
import folium
def make_data():
x = np.linspace(-np.pi, np.pi, 101)
sin = np.sin(x)
cos = np.cos(x)
cos[20:50] = np.NaN
return pd.DataFrame(np.asanyarray([sin, cos]).T, columns=['sin', 'cos'], index=x)
df = make_data()
resolution, width, height = 75, 7, 3
station = '42'
lon, lat = -42, -21
m = folium.Map(location=[lat, lon], zoom_start=5)
import base64
import matplotlib.pyplot as plt
fig, ax = plt.subplots(figsize=(width, height))
ax = df.plot(ax=ax, legend=False)
ax.set_ylabel('Sea surface height (m)')
png = 'mpld3_{}.png'.format(station)
fig.savefig(png, dpi=resolution)
encoded = base64.b64encode(open(png, 'rb').read())
from folium import IFrame
html = '<img src="data:image/png;base64,{}">'.format
iframe = IFrame(html(encoded), width=(width*resolution)+20, height=(height*resolution)+20)
popup = folium.Popup(iframe, max_width=2650)
icon = folium.Icon(color="red", icon="ok")
marker = folium.Marker(location=[lat-2, lon-1], popup=popup, icon=icon)
marker.add_to(m)
m.save('test.html')
预期结果
我的输出