https://plot.ly/
https://plot.ly/python/

https://pypi.python.org/pypi/plotly/

https://github.com/plotly/plotly.py

https://plot.ly/pandas/

docs
https://plot.ly/python/offline/
https://plot.ly/python/getting-started/
https://habrahabr.ru/post/308162/

https://plot.ly/pandas/getting-started/
https://plot.ly/matplotlib/getting-started/
https://plot.ly/python/plotly-fundamentals/

cheatseet
https://images.plot.ly/plotly-documentation/images/python_cheat_sheet.pdf

tutorial
https://plot.ly/python/ipython-notebook-tutorial/
https://elitedatascience.com/python-seaborn-tutorial
https://tryolabs.com/blog/2017/03/16/pandas-seaborn-a-guide-to-handle-visualize-data-elegantly/

reference
https://plot.ly/python/reference/

shapes
https://plot.ly/python/shapes/
https://plot.ly/python/box-plots/
https://plot.ly/python/line-charts/
https://plot.ly/python/candlestick-charts/

https://plot.ly/pandas/time-series/

samples
from plotly.graph_objs import Scatter, Figure, Layout
from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot
import numpy as np

#init_notebook_mode(connected=True)

iplot(
    {
        "data": [Scatter(x=[1, 2, 3, 4], y=[4, 3, 2, 1])],
        "layout": Layout(title="hello world")
    },
    show_link=False,
)