I am using Plotly offline to generate graph in python.
As per the documentation below,
https://plot.ly/python/offline/
Here is my code, which perfec
You can automate PhantomJS to save a screenshot with exactly the same width and height as the original image would be when it is downloaded by opening the browser.
Here is the code:
import plotly.offline as offline
from selenium import webdriver
offline.plot({'data': [{'y': [4, 2, 3, 4]}],
'layout': {'title': 'Test Plot',
'font': dict(size=12)}},
image='svg', auto_open=False, image_width=1000, image_height=500)
driver = webdriver.PhantomJS(executable_path="phantomjs.exe")
driver.set_window_size(1000, 500)
driver.get('temp-plot.html')
driver.save_screenshot('my_plot.png')
#Use this, if you want a to embed this .png in a HTML file
#bs_img = driver.get_screenshot_as_base64()
offline.plot
method has image='png
and image_filename='image_file_name'
attributes to save the file as a png
.
offline.plot({'data': [{'y': [4, 2, 3, 4]}],
'layout': {'title': 'Test Plot',
'font': dict(family='Comic Sans MS', size=16)}},
auto_open=True, image = 'png', image_filename='plot_image',
output_type='file', image_width=800, image_height=600,
filename='temp-plot.html', validate=False)
See more details inside offline.py
or online at plotly
.
However, one caveat is that , since the output image is tied to HTML, it will open in browser and ask for permissions to save the image file. You can turn that off in your browser settings.
Alternately,
You may want to look at plotly to matplotlib conversion using plot_mpl
.
Following example is from offline.py
from plotly.offline import init_notebook_mode, plot_mpl
import matplotlib.pyplot as plt
init_notebook_mode()
fig = plt.figure()
x = [10, 15, 20, 25, 30]
y = [100, 250, 200, 150, 300]
plt.plot(x, y, "o")
plot_mpl(fig)
# If you want to to download an image of the figure as well
plot_mpl(fig, image='png')
Quick update: As of plotly.py 3.2.0, it's now possible to programmatically export figures as static images while fully offline.
This was accomplished by integrating the orca project into plotly.py. Check out the announcement post for some more details.