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I want to write a program that gets the geographical coordinates of a point, and then displays a map of some area around this point (for example a square that its center is the point and its side is R km) and saves it as an image file. Preferably, the map would also include streets names etc. What is the simplest, most straightforward way to do it? what package should I use?
Thank you.
I would personally look for a web service instead of a Python package for this kind of complex tasks involving massive databases (read: MAPS).
Have a look at OpenStreetMap or Google Maps APIs.
If you just have the coordinates you could use something like matplotlib basemap:
http://matplotlib.org/basemap/users/examples.html
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I want to play a bunch of movies on a grid let's say of dimension (n, n), where each movie m_ij is an element of the grid. I would like to decide which movie is positioned where on the grid at each second, i.e. movies can switch positions over time. How would one start to do this? I'd preferably use Python, but am open to use another language if appropriate. Thanks a lot for any help, it's for an art project.
I know you prefer Python but first think I can think of to achieve something like that easily would be through using this JavaScript library called p5js or processing which is same library written in Java. It is very good for doing art with code kinda thing.
Here is a video to give you the idea.
Anyways hope this helps. Cheers.
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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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Does anybody know if there's a way to make circos-style plots with matplotlib python package, or any other python library? They don't have to be as nice looking as the example.
As far as I know, there is no direct functionality for this. If I were to create this functionality, I would use polar plots as the starting point, then I would create a transformation to convert data positions along the circular axis to polar coordinates.
Yann's idea is great.And more, circos is developed by Perl with GD and other modules, and then output SVG (or png). Python can also do this if you want to create new wheel :)
As I know if you wanna circos style images (circular style) by matplotlib, you'd better write raw python code directly :
learn basic SVG grammar
use python to generate the basic layout
design your image elements
computing and transforming your data coordinates; you'd better think it in polar coordinates (I did the same things but without open source.)
output your elements.
If you like, join circos's google group to discuss: http://groups.google.com/group/circos-data-visualization
It seems that Biopython's module GenomeDiagram has similar functionality, although it is designed for plotting genomic data, but not any data, as in circos, and the output won't be that nice.
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What is a range query over a kdtree and how is it done by python?
Assuming you are talking about the k-d tree in scipy.spatial, there are a couple of range queries. Which is to say, there are multiple functions that take as their input one or more points and a radius and query the tree for all points within the radius of the query points.
The two most obvious functions are query_ball_point and query_ball_tree.
You can read the source code on github to see how these queries are implemented.
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I'm wondering if I can extract a sequence of musical notes from a recorded sound using Python.
It is the first time I'm considering using Python for this.
Help would be truly awesome :)
What you would want to do is take your audio samples, convert them into the frequency domain with a Fast Fourier Transform (FFT), find the most powerful frequency in the sample, and convert that frequency into a note.
See FFT for Spectrograms in Python for pointers to libraries to help with the first two items. See http://80.68.92.234/sigproc.html for some sample code to get you started.