Using ipywidgets with plotly in jupyter notebook
ipywidgets, jupyter-notebook, plotly, python
Solution
Have you tried using `interact`? Here is a very clear example: http://nbviewer.jupyter.org/github/yankev/test/blob/master/plotlywidget_working2.ipynb
By the way, the `interact` function lives in `ipywidgets` (and not `IPython.html.widgets` anymore). Other than that, the example is pretty much up-to-date.
Problem
I want to use the offline plotting of plotly inside a jupyter notebook and want to manipulate or redraw the plot by using widgets from ipywidgets. Unfortunately I do not manage to update the plots appropiately: ``` from ipywidgets import widgets, HBox, Output import plotly as py from plotly.offline import iplot from IPython.display import display %matplotlib inline ip_widget = widgets.FloatSlider( value=6, min=3, max=10, step=1, description='num', continuous_update = True ) ow = Output() def response(change): with ow: iplot([{'x':list(range(int(ip_widget.value))), 'y': list(range(int(ip_widget.value)))}]) ip_widget.observe(response) display(ip_widget) ``` The provided code has two disadvantages: It plots the graph multiple times. The graph only shows up, if the slider is used. How can I overcome these two issues? Please note that I don't want to use the online plotting capabilities of plotly and I don't want to solve this problem using interact. Thank you very much for your answers.