The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()

the truth value of an array with more than one element is ambiguous. use a.any() or a.all()
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this is a short tutorial on logical operators in numpy and Im going to give you a quick example of how to use them were going to import an umpires NP and were going to set up a numpy array of random numbers and there it is now using this masking notation

we can select all those members of the array that are greater than 0.8 and weve done that there and we can also choose the ones that are less than say 0.2 by using this notation here the problem we encounter is when we try to do an or statement when we

want all of those that are less than point to or greater than 0.8 and when we do that we get an error we get a value area saying the truth value of an array with more than one element is ambiguous now the way around this is to use the logical

or function in numpy its accessed by NP dot if youve imported numpy as NP and then this logical or theres also a logical and at other logical operators and then you put the two conditions in here that you want ive saved these into selection lets run that and then if

we now access new array selection then we have what we wanted which is all of those that are greater than 0.8 or less than 0.2 I hope that was useful if it was please do like the videos subscribe to the channel and I will see you next time bye bye

tags:
learn numpy, learn python, logical operators python, logical operators numpy, numpy, python, python tutorial, numpy tutorial
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