#!/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! # #### Version Check # Plotly's python package is updated frequently. Run pip install plotly --upgrade to use the latest version. # In[1]: import plotly plotly.__version__ # #### Imports # In[25]: import plotly.plotly as py import requests from PIL import Image from io import BytesIO # ### Create a HeatmapGL from an Image # Process the image for generating heatmap: # In[21]: image_url = 'https://images.plot.ly/plotly-documentation/images/heatmap-galaxy.jpg' response = requests.get(image_url) img = Image.open(BytesIO(response.content)) img # In[23]: arr = np.array(img) z_data = [] for i in range(500): k = [] for j in range(500): k.append(sum(arr[i][j])) z_data.append(k) # Create the WebGL Heatmap # In[24]: trace = dict(type='heatmapgl', z=z_data, colorscale='Picnic') data = [trace] layout = dict(width=700, height=700) fig = dict(data=data, layout=layout) py.iplot(fig, filename='basic heatmapgl') # #### Reference # See https://plotly.com/python/reference/#heatmapgl for more information and chart attribute options! # # In[26]: from IPython.display import display, HTML display(HTML('')) display(HTML('')) import publisher publisher.publish( 'heatmap-webgl.ipynb', 'python/heatmap-webgl/', 'WebGL based Heatmaps | plotly', 'How to make webGL based heatmaps in Python with Plotly.', title = 'Python Heatmaps WebGL | plotly', name = 'WebGL Heatmaps', has_thumbnail='true', thumbnail='thumbnail/heatmap-webgl.jpg', language='python', display_as='scientific', order=4, ipynb= '~notebook_demo/34') # In[ ]: