#!/usr/bin/env python # coding: utf-8 # #### New to Plotly? # Plotly's Python library is free and open source! [Get started](https://plotly.com/python/getting-started/) by downloading the client and [reading the primer](https://plotly.com/python/getting-started/). #
You can set up Plotly to work in [online](https://plotly.com/python/getting-started/#initialization-for-online-plotting) or [offline](https://plotly.com/python/getting-started/#initialization-for-offline-plotting) mode, or in [jupyter notebooks](https://plotly.com/python/getting-started/#start-plotting-online). #
We also have a quick-reference [cheatsheet](https://images.plot.ly/plotly-documentation/images/python_cheat_sheet.pdf) (new!) to help you get started! # #### Interact # Here is a simple example of using the `interact` decorator from ipywidgets to create a simple set of widgets to control the parameters of a plot. # In[1]: import plotly.graph_objs as go import numpy as np from ipywidgets import interact # First we'll create an empty figure, and add an empty scatter trace to it. # In[ ]: fig = go.FigureWidget() scatt = fig.add_scatter() fig # # Then, write an update function that inputs the frequency factor (`a`) and phase factor (`b`) and sets the `x` and `y` properties of the scatter trace. This function is decorated with the `interact` decorator from the `ipywidgets` package. The decorator parameters are used to specify the ranges of parameters that we want to sweep over. See http://ipywidgets.readthedocs.io/en/latest/examples/Using%20Interact.html for more details. # In[ ]: xs=np.linspace(0, 6, 100) @interact(a=(1.0, 4.0, 0.01), b=(0, 10.0, 0.01), color=['red', 'green', 'blue']) def update(a=3.6, b=4.3, color='blue'): with fig.batch_update(): scatt.x=xs scatt.y=np.sin(a*xs-b) scatt.line.color=color # # #### Reference # See [these Jupyter notebooks](https://github.com/jonmmease/plotly_ipywidget_notebooks) for even more FigureWidget examples. # In[2]: help(go.FigureWidget) # In[1]: from IPython.display import display, HTML display(HTML('')) display(HTML('')) get_ipython().system(' pip install git+https://github.com/plotly/publisher.git --upgrade') import publisher publisher.publish( 'Interact.ipynb', 'python/interact-decorator/', 'Use the Interact decorator with go.FigureWidget', 'Use the Interact decorator with go.FigureWidget', title = 'Use Interact decorator with FigureWidget', name = 'Use Interact decorator with FigureWidget', has_thumbnail='true', thumbnail='thumbnail/figurewidget-overview.gif', language='python', display_as='chart_events', order=4, ipynb= '~notebook_demo/254') # In[ ]: