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
Related
Does anyone know how I can export a plotly sunburst plot as a standalone file which can keep all the functionalities, like annotation while hovering and expansion by click?
Visualizing a hierarchical data with plotly.sunburst in python is a beautiful and beneficial way of presenting it in the best order, while you are able to hover the values to see the annotation, click on each parent section to collapse and expand the child values, etc.. But to present the visualized data (plot) independently without having to open the Python notebook, needs the plot to be saved and exported in a standalone file format that allows keeping every functionality available.
Does anyone know how to do this? and what file format can give this luxury to us?
Thanks
Saving to an HTML file will do the trick:
doc
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.
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 wish to find a library which is able to render the evolution of a graph during the processing phase. Therefore you would be able to see the graph visually growing and/or pruned according to the current results processed by the classes. Is there any library for python which has the following requirements?
Assuming you are talking about a changing dataset (as opposed to the graph-theoretic type) matplotlib can do this. The documentation for the animation functionality is lengthy, but there are many examples at:
http://matplotlib.org/examples/animation/
If you are talking about the other type of a "graph", you can use networkx to manipulate and render the graph with fixed positions. Underneath it uses matplotlib as its drawing backend.
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.