¡@

Home 

python Programming Glossary: numpy.where

find length of sequences of identical values in a numpy array

http://stackoverflow.com/questions/1066758/find-length-of-sequences-of-identical-values-in-a-numpy-array

and 1 at run ends difs numpy.diff bounded run_starts numpy.where difs 0 run_ends numpy.where difs 0 return run_ends run_starts.. numpy.diff bounded run_starts numpy.where difs 0 run_ends numpy.where difs 0 return run_ends run_starts Again be sure to benchmark..

Finding matching submatrices inside a matrix

http://stackoverflow.com/questions/11078122/finding-matching-submatrices-inside-a-matrix

overlap is perfect c signal.correlate a b 'valid' overlaps numpy.where c max_peak print overlaps This outputs array 37 array 84 the..

Python: Numpy array help. Is there a function to return the first index of something in an array?

http://stackoverflow.com/questions/432112/python-numpy-array-help-is-there-a-function-to-return-the-first-index-of-somet

array array and a value item to search for. itemindex numpy.where array item The result is a tuple with first all the row indices..

Numpy converting array from float to strings

http://stackoverflow.com/questions/5365520/numpy-converting-array-from-float-to-strings

to one In short I have an array phis of float64 such that numpy.where phis.astype 'str' .astype 'float64' phis is non empty. This..

Removing rows in NumPy efficiently

http://stackoverflow.com/questions/7218918/removing-rows-in-numpy-efficiently

print x.shape print bad.shape cleared numpy.delete x numpy.where numpy.in1d x 0 bad 0 print cleared.shape This prints 500000.. the element is in the bad array and False otherwise. The numpy.where turns that True False array into an array of integers containing..

Removing duplicates in each row of a numpy array

http://stackoverflow.com/questions/7438438/removing-duplicates-in-each-row-of-a-numpy-array

Numpy array: how to find index of first occurrence of item

http://stackoverflow.com/questions/7632963/numpy-array-how-to-find-index-of-first-occurrence-of-item

don't stop when they find the first occurrence itemindex numpy.where array item 0 0 nonzero array item 0 0 Note 1 none of the answers..