Python开发数据可视化应用：hvplot交互式绘图

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import pandas as pd
import hvplot.pandas # 以为hvplot为交互式后端

# name:Game;  x=Year;  y=[Units sold(in millions), GameRankings, Metacritic] #
df = pd.read_csv('games_sales.csv') # 取x=Year,y=Units sold(in millions)
# 方法二： 直接指定pandas的可交互后端为hvPlot #
pd.options.plotting.backend = 'holoviews'  # 指定后端
pic1 = df.plot(x='Year', 
               y='Units sold(in millions)',
               color='orange',
               kind='line',
               grid=True, 
               title='Pokémon Game Sales')
pic2 = df.plot(x='Year', 
               y='Units sold(in millions)',
               color='red',
               kind='scatter',
               grid=True, 
               title='Pokémon Game Sales') # kind可选 'line', 'scatter', 'bar'等 # 
salesplot = pic1 * pic2
salesplot