¡@

Home 

python Programming Glossary: np.sort

numpy.unique with order preserved

http://stackoverflow.com/questions/15637336/numpy-unique-with-order-preserved

'a' 'c' 'c' _ idx np.unique a return_index True print a np.sort idx output 'b' 'a' 'd' 'c' Pandas.unique is much faster for..

numpy sort wierd behavior

http://stackoverflow.com/questions/15649097/numpy-sort-wierd-behavior

a np.array res _ idx np.unique a return_index True print a np.sort idx python python 2.7 numpy share improve this question .. should work bi idxb np.unique b return_index True months b np.sort idxb Yes it does using your data set and running python 2.7.. ilines np.unique lines return_index True In 8 months lines np.sort ilines In 9 months Out 9 array 'Aug 09' 'Sep 09' 'Oct 09' 'Nov..

sorting arrays in numpy by column

http://stackoverflow.com/questions/2828059/sorting-arrays-in-numpy-by-column

import numpy as np In 2 a np.array 1 2 3 4 5 6 0 0 1 In 3 np.sort a.view 'i8 i8 i8' order 'f1' axis 0 .view np.int Out 3 array..

Python group by array a, and summarize array b - Performance

http://stackoverflow.com/questions/7538382/python-group-by-array-a-and-summarize-array-b-performance

len a tmp2 np.array tmp dtype 'a' float 'b' float tmp2 np.sort tmp2 order 'a' bResult aResult for key group in groupby tmp2..

SQLite Performance Benchmark — why is :memory: so slow…only 1.5X as fast as disk?

http://stackoverflow.com/questions/764710/sqlite-performance-benchmark-why-is-memory-so-slow-only-1-5x-as-fast-as-d

in range numqs qsize np.random.randint 1 numqrows 1 id1a np.sort np.random.permutation np.arange cmax 0 qsize #ensure uniqueness.. cmax 0 qsize #ensure uniqueness of ids queried id2a np.sort np.random.permutation np.arange gmax 0 qsize id1s ' '.join str..

Removing duplicate columns and rows from a NumPy 2D array

http://stackoverflow.com/questions/8560440/removing-duplicate-columns-and-rows-from-a-numpy-2d-array

of of a 1d array import numpy as np def unique a a np.sort a b np.diff a b np.r_ 1 b return a b 0 Now to extend it to 2d..