Find a minimum value in an array of floats?
Python has a min() built-in function : darr = 1, 3.14159, 1e100, -2.71828 >>> min(darr) -2.71828.
Python has a min() built-in function: >>> darr = 1, 3.14159, 1e100, -2.71828 >>> min(darr) -2.71828.
If you want to use numpy, you must define darr to be a numpy array, not a list: import numpy as np darr = np. Array(1, 3.14159, 1e100, -2.71828) print(darr.min()) darr.argmin() will give you the index corresponding to the minimum. The reason you were getting an error is because argmin is a method understood by numpy arrays, but not by Python lists.
I am guessing this is due to the values are in money string. Can someone please tell me how I could get the real max and min for this array? Is this really due to money string?
This array is stripped down from a multidimensional array.
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