So this may not be the right forum to ask this question but
I don't know what this type of visualization is called (hence I'm not able to google it). The dynamic version where the colors run up the semi-circle as the graphic loads.
Any tips on how to create this in Python? Although I guess once I know what its called, I can google how to make it in Python. :)
What is the right place to ask such a question? Some sub-reddit?
Thx
This is called a "Radial Bar Chart", the Data Visualization catalogue link has recommendations.
If you want Python specifically, there is a previous thread on plotting in matplotlib with polar coordinates (Circular Barplot), but I don't think this will handle your preference to "[dynamically update colors] as the graphic loads."
This page from AMCharts has an in-browser version that seems like it would fit. Dump your data into json and it should work.
Related
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 am trying to create an interactive map in R or Python that could be hosted on a website and shared via a link. Creating interactive map is no problem, however I want users with the link to be able to edit the map.
i.e zoom into an area and click on a point and add data to the map.
I would be happy to use R or Python to do this but cannot find any resources to put me in the correct direction. All the resources I am seeing are using pre-existing data whereas I want to create new data on the map and allow others with access to be able to edit to.
Does anyone know some good resources for this type of application?
Thank you.
I have an interactive graph generated by Plotly in Python that I saved to an html file using plotly.offline.plot(fig, filename='/tmp/interactiveGraph.html')
I am now trying to embed this interactive graph into some kind of webpage, using either Dash or Django. I'm leaning toward Django at the moment, given that I have an html version of the graph. Which would be better?
My code for the webpage is in a separate file from the code where I am creating the graph.
A lot of the tutorials I've found online just say to add a few lines to the template, but I don't know how to get those lines that they've described.
tl;dr: I'm looking for guidance as how to integrate an html file-for a Plotly interactive graph-with a web python script using Django or Dash
Side Question:
what is the difference between
plotly.offline.plot(fig, include_plotlyjs=False, output_type='div')
and what I have above?
Reference:
https://github.com/ricleal/DjangoPlotLy
https://www.pythonsetup.com/how-implement-data-visualization-django-and-plotly/
I would highly reccomend Django, its a great framework. As for this, the best option is to generate the data via JavaScript and Plotly has a great library for this. If you must use python, then Django can be used. Assuming you are familiar with Django, inside of your view you can collect your data and build your graph ( I would reccomend a celery task for something long running like this unless they are small graphs), and you can then collect the return from creating the graph in div format. This will return a string that holds all the needed html and css for the graphs. Put this inside of you get_context_data() method in your view and place it into the dictionary. You can the use that object inside of a template. I have done this before, if you are having a hard time feel free to DM me. Hope this helps some!
In regards to your side question, I believe having False for including JS will make the graph a bit smaller assuming you have an include for the plotly JS library. They might have done this in a newer release to make the graphs faster as they were significantly slower in the browser from python that the JS rendered one.
I am working on generating some plots using python, but I am generating these plots using matplotlib which is saved as images. If I create an html page as a report with these plots, they are static images. I cannot zoom in or roll over on the plot to see more detailed or specific information on a time series plot.
My question is how can I make these plots dynamic? Can someone suggest the best way to get started and move forward from there?
You should use some additional libraries to achive your goal.
For example, there some good Python web frameworks wich you can use:
CherryPy - allows you to simply write web-app with Python and you can import your plot there.
Plotly Python API - it would simply generate interactive plot, but store it at Plotly platform, but they provide embeded-code option, so you can use it on your site.
I would suggest Plotly, because it is much simpler, but it depends on your needs.
You will definitely want to do it using javascript. It's by far your best option when it comes to quickly make interactive graphs that you can present to a lot of users. Any of these js libraries will do a great job.
You will then want python to provide the data. Depending on the js library you are using, you might be able to parse data from .json, .csv, etc...
If you don't need the data that makes up your plots to change (with user input, for example), then generating and saving flat files with python and having javascript parsing them from some directory might be just enough.
Otherwise, you want to take a look at a python web framework and use one as backend to serve the plots data by request (in that case .json is probably the right format).
Frameworks like Flask, CherryPy, Pyramid or even web2py might be the easier ones to start with.
I want to Embed a chart in a Web Application developed using django.
I have come across Google charts API, ReportLab, PyChart, MatPlotLib and ChartDirector
I want to do it in the server side rather than send the AJAX request to Google chart APIs, as I also want to embed the chart into the PDF.
Which is the best option to use, and what are the relative merits and demerits of one over the other.
Another choice is CairoPlot.
We picked matplotlib over the others for some serious graphing inside one of our django apps, primarily because it was the only one that gave us exactly the kind of control we needed.
Performance generating PNG's was fine for us but... it was a highly specialized app with less than 10 logins a day.
Well, I'm involved in an open source project, Djime, that uses OpenFlashChart 2.
As you can see from our code, generating the JSON-data that OFC uses is a bit complex, but the output is very nice and user friendly, since you can add tooltips, etc. to the different elements.
Open Flash Chart 2
http://teethgrinder.co.uk/open-flash-chart-2/
python library http://btbytes.github.com/pyofc2/
kybi
One package I've wanted to try is graphite. It's a graphing server / platform built with Django. It's specialized for "numeric time-series data" though, like stock prices or bandwidth utilization. If that fits your need I would check it out. Here are some screenshots:
http://graphite.wikidot.com/screen-shots
I like client side charts because you can get full page plotting.
A good options seems to be Jquery Flot : http://code.google.com/p/flot/ which can load JSON data.
However, you won't get pdf support.
Perhaps you might want to have a look here: Django Plotting app.
The HowTo describes how to embed matplotlib plots into the admin interface and create a PDF view.
I have used FusionCharts Free with Django.
Its flash based, open source, multi-licensed and it's well documented. It's ActionScript 1, but AS version wasn't really a criteria for me, though it could be for others.