Issue
I have a 2d array and I would like find how many unique values there is in each row. For example:
arr = np.array([[3,4,4,4,3,4],
[4,4,4,4,4,4],
[3,3,3,2,3,2],
[2,3,3,1,2,2]])
Then the output that I desire to obtain would be:
res = np.array([2,1,2,3])
Because there are two uniques values in first row, one unique value in second row, two in third row and three in fourth row.
How can I achieve this? Using np.unique
and np.bincounts
I was not able.
Solution
You can calculate the length of a set for each row.
[len(set(x)) for x in arr]
Answered By - Anonymous
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