plotly可视化绘制混合图

Posted 2021-09-06 Data+Science+Insight

plotly可视化绘制混合图

# 混合图多种可视化形式融合在一个图形中；

from plotly.graph_objs import *
import plotly as py
import plotly.graph_objs as go


pyplt = py.offline.plot

import pandas as pd

# read in volcano database data
df = pd.read_excel(r\'volcano_db.xlsx\')



# frequency of Country
freq = df
freq = freq.Country.value_counts().reset_index().rename(columns={\'index\': \'x\'})

# plot(1) top 10 countries by total volcanoes
locations = go.Bar(x=freq[\'x\'][0:10],y=freq[\'Country\'][0:10], marker=dict(color=\'#CF1020\'))

# read in 3d volcano surface data
df_v = pd.read_excel(r\'volcano.xlsx\')

# plot(2) 3d surface of volcano
threed = Surface(z=df_v.values.tolist(), colorscale=\'Reds\', showscale=False)

# plot(3)  scattergeo map of volcano locations
trace3 = {
  "geo": "geo3",
  "lon": df[\'Longitude\'],
  "lat":