I have downloaded json dump of webRTC from chrome://webrtc-internals/. Now I want to analyze the logs and need to plot graphs. In the stats there are multiple fields which I don't understand. Can someone explain what these fields stand for and how can I use them to plot video quality and bitrate vs timestamp graph.
You can look at https://fippo.github.io/webrtc-dump-importer/ which I wrote to import the dump and plot graphs. The format exported by webrtc-internals is not specified and change at any time but the javascript implementation has worked for a couple of years now.
Plotting video quality largely depends on how you define that. The dump gives you just a lot of numbers.
Related
The scripts I use generate a lot of graphs. I was wondering if there was a way to save them or specified ones into a single file as image or pdf for quicklooks.
Thank you.
If you are using matplotlib, it would be easiest to use the subplots feature. This will make all of your graphs part of a single object, which can be saved as an image like you want. I would redirect you to the matplotlib website for a ton of good example on the subject. https://matplotlib.org/3.1.1/api/_as_gen/matplotlib.pyplot.subplots.html
Then, do
fig.savefig('mysweetsubplots.png')
and you are done.
I am a graduate student with only limited knowledge of the Python programming language. I am currently working on creating a streaming visualization of EEG data. I am able to generate the individual topographical figures using matplotlib, but cannot find a way of dynamically updating a single plot in the output at specific intervals.
Is there some way of taking a list of Figure objects and dynamically displaying each one in turn after some interval in python 2.7? Perhaps using a Graphics object similar to the ones found in Java's Swing? Or would it be better simply to save my plots as images and use JavaScript to display them as desired?
Thank you in advance for any help or suggestions you may offer.
If you want to make an animation with Python, then there are plenty of ways. For example:
https://jakevdp.github.io/blog/2012/08/18/matplotlib-animation-tutorial/
http://matplotlib.org/examples/animation/double_pendulum_animated.html
http://matplotlib.org/examples/animation/dynamic_image2.html
I have got graph which need to analyzed and report an Error.As of Now I had a data in Excel data.So I have used xlsxwriter to Create graph.But I need to analyze graph.
1.Solid red line was created using xlsxwriter using excel data and was very easy to implement.
In later Enhancement,
2.In Ideal condition,The formula provided to us, we will have dotted red line. So we need to determine difference and report an error.
So First approach was, write a data in Excel sheet using formula and compare data into Excel sheet and report an error.
But we also need to represent into graph also and we will have upcoming task also in which we require graph (basically 2D and line graph) I have googled and found matplotlib which generally use for create graph. So I have very basic question,
Can anyone suggest me library which can be used for this scenario. it will be great if I have input any standard graph library(cover Line grpah) So I can put effort to familiarize with them. it will save lot of effort of us. we generally create graph for circuit analysis.
Language : Python
Environment : Linux
Library : Should be open source
I know, it is very open ended question.But I thought Let have a opinion who has used graph in Python
or is it possible to create below like diagram using matplotlib
I am trying to develop a telemetry system which sends sensor data from an Arduino, plotted in realtime. For this I'm using Python and the matplotlib-library. My problem is that every time a new data point arrives, I want to add that data point by plotting it into the same figure as the other data points. So far I could not find a solution to this.
You can stream data from an Arduino into a Plotly graph with the Arduino API in Plotly. You have two options: continuously transmit data (which it sounds like you'll want to do), or transmit a single chunk.
It will update the graph every few seconds if you refresh the page.
The Arduino API is available here. And, if you're already using Python, you can use the extend option to update data into another plot. The Python API is here.
Here's an example of how it looks to transmit from an Arduino, and you can see the interactive version here
Full disclosure: I work at Plotly.
as far as I can see, you have a few different ways of doing this (i'll list them in what I consider increasing difficulty
Making a bitmap file, eg .png, which has to be regenerated each time a new datapoint arrives. To do this you need to have your old data stored somewhere in a file or in a database.
Using svg in a browser. Then you can add on points or lines using javascript (e.g. http://sickel.net/blogg/?p=1506 )
Make a bitmap, store it and edit it to add in new points - this really gets tricky if you either wants to "roll old points off" at one end, or rescale the image when more data arrives.
Make a series of bitmaps, and have the total graph as a combination of a lot of slices. - here you can easily "roll off" old points, but you are out of luck if you want to rescale.
I have a couple shape files that I want to plot some scatterplot data on top of that.
Does anyone have a way to load a shape file then plot it?
I've followed a couple of tutorials, but have not been successful so far.
The shape file, I am trying to use is one of the roads in Pakistan.
Found Here
I downloaded the modules pyshp and shapelib but am open to others!
Helpful tutorial for shapefiles and using basemap to plot maps: http://www.packtpub.com/article/plotting-geographical-data-using-basemap
As much as i love D3, Matplotlib and R, this sounds like you just want create an overlay above a Google Maps chart.
This is easier than you might expect:
https://developers.google.com/maps/documentation/javascript/overlays
Check out Qgis for that purpose.
It has a python console that enables you to treat data in an efficient way.
It also reads and writes .shp-files.