python Programming Glossary: km

http://stackoverflow.com/questions/10960463/non-ascii-characters-in-matplotlib

rednia odleg o mi dzy stacjami wsparcia a modelowan km So you need to add u plt.xlabel u rednia odleg o mi dzy stacjami.. u rednia odleg o mi dzy stacjami wsparcia a modelowan km Another cause is that you forgot to put a UTF 8 magic comment..

Embedding IPython Qt console in a PyQt application

http://stackoverflow.com/questions/11513132/embedding-ipython-qt-console-in-a-pyqt-application

self._confirm_exit False def _init_kernel_manager self km QtKernelManager connection_file self._connection_file config.. connection_file self._connection_file config self.config km.load_connection_file km.start_channels hb self._heartbeat self.kernel_manager.. config self.config km.load_connection_file km.start_channels hb self._heartbeat self.kernel_manager km atexit.register..

ode integration in python versus mathematica results

http://stackoverflow.com/questions/16222302/ode-integration-in-python-versus-mathematica-results

in Mathematica and Python differ by 5000 something km . I am led to believe one program has a higher error tolerance.. I adjust the precision With Mathematica I am less than 10km away from L4 where as with Python I am 5947 km away. The codes.. less than 10km away from L4 where as with Python I am 5947 km away. The codes are listed below Python import numpy as np from..

Haversine Formula in Python (Bearing and Distance between two GPS points)

http://stackoverflow.com/questions/4913349/haversine-formula-in-python-bearing-and-distance-between-two-gps-points

1.7297222222222221 Bearing 96.02166666666666 Distance 2 km Destination point 53.31861111111111 1.6997222222222223 Final.. 2 2 cos lat1 cos lat2 sin dlon 2 2 c 2 asin sqrt a # 6367 km is the radius of the Earth km 6367 c return km share improve..

How do I convert kilometres to degrees in Geodjango/GEOS?

http://stackoverflow.com/questions/5217348/how-do-i-convert-kilometres-to-degrees-in-geodjango-geos

one commenter noted you'll have to convert the radius in km to degrees... but how I guess it's a quick formula but it's.. may depend upon location on earth. Near the equator 1km is going to equal roughly 0.008 degrees 1 km 40 000 km 360 degrees.. the equator 1km is going to equal roughly 0.008 degrees 1 km 40 000 km 360 degrees of latitude and longitude but near the..

Is it possible to specify your own distance function using Scikits.Learn K-Means Clustering?

http://stackoverflow.com/questions/5529625/is-it-possible-to-specify-your-own-distance-function-using-scikits-learn-k-means

learn share improve this question Here's a small kmeans that uses any of the 20 odd distances in scipy.spatial.distance.. what are your N dim k metric # usr bin env python # kmeans.py using any of the 20 odd metrics in scipy.spatial.distance.. any of the 20 odd metrics in scipy.spatial.distance # kmeanssample 2 pass first sample sqrt N from __future__ import..

Get lat/long given current point, distance and bearing

http://stackoverflow.com/questions/7222382/get-lat-long-given-current-point-distance-and-bearing

is 90 degrees converted to radians. d 15 #Distance in km #lat2 52.20444 the lat result I'm hoping for #lon2 0.36056 the.. is 90 degrees converted to radians. d 15 #Distance in km #lat2 52.20444 the lat result I'm hoping for #lon2 0.36056 the..

Calculating the percentage of variance measure for k-means?

http://stackoverflow.com/questions/6645895/calculating-the-percentage-of-variance-measure-for-k-means

some time to play around with this.. Here is an example of KMeans clustering applied on the 'Fisher Iris Dataset' 4 features.. clusters ##### K range 1 10 # scipy.cluster.vq.kmeans KM kmeans X k for k in K centroids cent for cent var in KM # cluster.. KM kmeans X k for k in K centroids cent for cent var in KM # cluster centroids #avgWithinSS var for cent var in KM # mean..

Get lat/long given current point, distance and bearing

http://stackoverflow.com/questions/7222382/get-lat-long-given-current-point-distance-and-bearing

Given an existing point in lat long distance in in KM and bearing in degrees converted to radians I would like to..

Dictionary runtime (Codility Test)

http://stackoverflow.com/questions/8623924/dictionary-runtime-codility-test

I can't see why an O N^3 algo is just 1 sec slow Thanks KM python codility share improve this question bit.keys is..