问题描述
以前的R用户，我曾经通过ggplotly()函数广泛地组合了ggplot和plot_ly库来显示数据.
Former R user, I used to combine extensively ggplot and plot_ly libraries via the ggplotly() function to display data.
Python刚出现，我发现ggplot库可用，但是在与plotly的简单组合中无法找到任何用于图形反应显示的内容.
Newly arrived in Python, I see that the ggplot library is available, but cant find anything on a simple combination with plotly for graphical reactive displays.
我想要的是类似的东西:
What I would look for is something like :
from ggplot import*
import numpy as np
import pandas as pd
a = pd.DataFrame({'grid': np.arange(-4, 4),
'test_data': np.random.random_integers(0, 10,8)})
p2 = ggplot(a, aes(x = 'grid', y = 'test_data'))+geom_line()
p2
ggplotly(p2)
最后一行将在其中启动经典的绘图动态查看器，该查看器具有鼠标图形交互，曲线选择等所有出色的功能...
Where the last line would launch a classic plotly dynamic viewer with all the great functionalities of mouse graphical interactions, curves selections and so on...
感谢您的帮助:)，
纪尧姆
推荐答案
如果您想要的只是一个交互式界面，则不需要在python中进行ggplotly.ggplot(或至少是我正在使用的实现为plotnine)使用已经具有交互性的matplotlib，这与R ggplot2程序包要求在顶部放置图是不同的.
You don't need ggplotly in python if all you are seeking is an interactive interface.ggplot (or at least plotnine, which is the implementation that I am using) uses matplotlib which is already interactive, unlike the R ggplot2 package that requires plotly on top.
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