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Title	followthesheep – An astronomer’s guide to possibly useful
Description	followthesheep An astronomer’s guide to possibly useful information How to find indices of the intersection of two numpy arrays Given numpy arrays a and b
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US$979,422

Last updated: 2023-04-30 06:51:36

followthesheep.com has Semrush global rank of 10,806,687. followthesheep.com has an estimated worth of US$ 979,422, based on its estimated Ads revenue. followthesheep.com receives approximately 113,011 unique visitors each day. Its web server is located in United States, with IP address 208.94.116.91. According to SiteAdvisor, followthesheep.com is safe to visit.

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HtmlToTextCheckTime:2023-04-30 06:51:36

followthesheep An astronomer’s guide to possibly useful information How to find indices of the intersection of two numpy arrays Given numpy arrays a and b , it is fairly straightforward find the indices of array a whose elements overlap with the elements of array b using the function numpy.in1d() . However, what if you want to also find the indices associated with elements in b that overlap with a ? I’m unable to find a good solution to this, so I wrote a small function to do this. It does brute force matching after getting all the common elements of array a and b . If anyone knows of a better way, please let me know. The code snippet is below. import numpy as np def overlap(a, b): # return the indices in a that overlap with b, also returns # the corresponding index in b only works if both a and b are unique! # This is not very efficient but it works bool_a = np.in1d(a,b) ind_a = np.arange(len(a)) ind_a = ind_a[bool_a] ind_b = np.array([np.argwhere(b == a[x]) for x in

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