So, I'm learning how to use matplotlib and stumbled into MPLD3 as the most used way to get these plots in a webpage. However, MPLD3 doesn't support tick formatting and that's something critical for the project I'm in right now. I'd like to know if there is another way to add a matplotlib graph to a webpage while keeping the tick formatting and also having tooltips to display data on hover.
Thanks!
For a web application I would consider bokeh. You can output html with interactive charts or run another backend server. If you go to the ipython notebook tutorial section 10 has demos for embedding.
Alternatively you can just save images from matplotlib and use them as static assets in your page.
Related
Can you make mpld3-matplotlib interactive ?
what I mean is display a graph on a web page and be able to update the time series i.e. not simply static graph, but dynamic one page graph-app ?
What can be leveraged from mpld3 ?
if you don't have to support matplotlib then an option is Bokeh or Dash library instead.
I want to insert the plotly interactive animation into a powerpoint. I read online that you can generate a gif, however I want to be able to use the animation bar that you get from plotly on the powerpoint slide. Is there any way to do that? Sorry if this is a stupid question, this is my first time doing something like that.
You can try getting an extension that allows embedding the plotly webpage you have into powerpoint. How well this works will depend on the specifics of the extension you choose to use.
There is some discussion about embedding iframes into powerpoint here: https://answers.microsoft.com/en-us/msoffice/forum/all/how-do-i-embed-iframe-code-into-my-powerpoint/5b7b5bc9-a68b-46d9-88ad-207387d621b7
I'd like to output the image to the web created in matplotlib having the very same functionality like it has on desktop when you run the image.show(), for example scaling, moving along the plot more thoroughly.
I've checked out #stack and got old post only offering static images or gif or matplotlib.animate()
I aslo had a look at matplotlib widgets, but those are for desktop GUI only as far as I can see.
Please share some experience or ideas regarding how can I achieve it.
Thanks
Matplotlib is a server side library so you cannot do anything on the client side like that.
The closest you can come is to either use mpld3 (mpld3 works by converting a matplotlib graph into the html/js that a d3 js graph would need to render) or a different client side library that plots points.
The easiest way of serving pure matplotlib to the web is using a jupyter notebook.
Other than that, you may want to look at specific libraries like Plotly or bokeh.
I have a Flask web app that uses Bokeh to deliver interactive charts. My end goal is to export whatever the current Bokeh view is to Matplotlib (so that I can create a printable pdf file after that). This would include how the current axes look like after the user zooms and pans. Is there a way to export that data so that I can create those Matplotlib charts behind the scenes? (Printing the page directly or printing to pdf results in low-quality and blurred charts.)
Thanks!
No, currently there is no way to export bokeh to matplotlib. Actually you can do it otherway. You can create matplotlib plot, save, and after that you can export matplotlib to bokeh. I think this is the best option. Eventually you can export bokeh plot as png but it still would not solve problem with quality
I know Matplotlib can be used in Django, based on the documentation. However, I'd like to be able to create interactive graphs within a webpage (i.e clickable points). In order to display a graph created in a Python script, Django spits out a png image. I haven't tested it out myself, but the fact that Django only spits out a png is worrisome. Is what I'm trying to do possible?
http://scipy-cookbook.readthedocs.io/items/Matplotlib_Django.html
http://scipy-cookbook.readthedocs.io/items/Matplotlib_Interactive_Plotting.html