How can I digitalize graph using Python? [closed] - python

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I want to convert an image of a graph (plot) to corresponding data. Is there any python library to do this or maybe some sample code to learn from?
If not, then how do i approach this problem?

You can also use a digitizing software application, to convert graph images to data, that is to numbers. im2graph is free and available for both Linux and Windows. See http://www.im2graph.co.il.

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At present, I need to use GNN to deal with dynamic graphs, and the graph structure of each input is different. What should I do about it? My goal is to use GNN for regression. Anyone help?

Trouble analysing spreadsheet using pandas python [closed]

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Im trying to find a way to compare what students performed consistantly in their InternalAssessment_Performance to their FinalExam_Performance. Essentially i need to find what students have the same answer in both those columns.
How is it possible to compare the values in both commons and have them returned if they are the same?
Any help no matter how small would be great.
If the columns are aligned you can do something like this:
df[df['InternalAssessment_Performance'] == df['FinalExam_Performance']]

Query By Humming system [closed]

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I need to identify the songs by human hum. what are the best methodology and algorithm that i can use for achieve that. I search for code samples. But I couldn't find. Please help me....
You could begin a python program that uses tensorflow to deep-learn the correspondence between humming and songs - it should fall under the umbrella initiative by Google Brain called Magenta.
Of course for Deep-Learning you would need to have a large corpus of examples to learn from.

I am taking CCD images through my telescope and am wondering what can I do analytically with those images? [closed]

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This weekend I'll be taking around 50 CCD images with my Celestron CPC 8in. telescope and would like to use python to analyzie the images. Does anyone have any experience doing this?
Check out the python wrapper for OpenCV:
http://docs.opencv.org/trunk/doc/py_tutorials/py_tutorials.html
This should provide all the power you need to do any image processing tasks you require.
And there are some great tutorials to help you get started.

visualization calender python [closed]

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Data visualization (python preferred but not essential):
I have some data which fits into daily chunks nicely for a period of a few months, how may I produce an infographic/calender-type graph analogous to this (found online):
My preferred medium is Python (would htmlCalender suffice?) but anything to accomplish this will be fine.
I would suggest that you take a look at D3.js.
If you look at the examples there is a Calendar View that does something closely to what you want to accomplish.
Another example of a similar calendar visualization is Cal-heatmap.
You will find more libraries with similar concepts if you google for "calendar heatmap".

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