#!/usr/bin/env python
# coding: utf-8
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# 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[ ]: