A very simple and fast data analysis module for python. This project came to existence for the need of applying basic statistical analysis on datasets with more than 10000 entries. A couple long and boring university assignments were the motivator of this. Code is self-documenting and very clear.
grizzlies does not have pip package right now. However, I can make one due to sufficient demand.
import grizzlies
# returns 3.0
grizzlies.average( [1,2,3,4,5] )
# returns 5
grizzlies.max( [1,2,3,4,5] )
# returns 3
grizzlies.median( [1,2,3,4,5] )
# returns 1.4142135623730951
grizzlies.stdev( [1,2,3,4,5] )
# returns [-2, -1, 0, 1, 2, 3, 3.75, 4]
grizzlies.extract( [-2,-1,0,1,2,3,3.75,4,4.5,5] , 4.5 , 'ceil' )
# returns [0, 1, 2, 3, 3.75, 4, 4.5, 5]
grizzlies.extract( [-2,-1,0,1,2,3,3.75,4,4.5,5] , 0 , 'floor' )All contributions and pull requests are very welcome. For major changes or feature additions, please add well-written comments to your commit.