Former R user, I used to combine extensively ggplot and plot_ly libraries via the ggplotly() function to display data.
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.
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)
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...
Thanks for your help :),
Guillaume