I am somewhat new to Python (been coding with Matlab mostly). I am trying to simplify (and expedite) a piece of code that is currently a bottleneck in a larger code.
I have a large array (7000 rows x 4500 columns) titled say, abc, and I am trying to find a fast method to count the number of instances of each unique value within it. All unique values are stored in a variable, say, unique_elem. My current code is as follows: import numpy as np #allocate space for storing element count elem_count = zeros((len(unique_elem),1)) #loop through and count number of unique_elem for i in range(len(unique_elem)): elem_count[i]= np.sum(reduce(np.logical_or,(abc== x for x in [unique_elem[i]]))) This loop is bottleneck because I have about 850 unique elements and it takes about 9-10 minutes. Can you suggest a faster way to do this? Thank you, Naresh
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