Check if object is array like python

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  Num = [7,8, 120, 25, 44, 20, 27] newnum = [] def remove_even(num): for i in num: if i%2 != 0: newnum.append(i) return newnum print("get_unevens") test(remove_even(num), [7,25,27])

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  From sklearn.metrics import confusion_matrix pred = model.predict(X_test) pred = np.argmax(pred,axis = 1) y_true = np.argmax(y_test,axis = 1)

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