How to transform a 3d arrays into a dataframe in python

Question

I have a 3d arrays as follows:

ThreeD_Arrays = np.random.randint(0, 1000, (5, 4, 3))

array([[[715, 226, 632],
        [305,  97, 534],
        [ 88, 592, 90         


        

Answer 1

ThreeD_Arrays = np.random.randint(0, 1000, (5, 4, 3))
df = pd.DataFrame([list(l) for l in ThreeD_Arrays]).stack().apply(pd.Series).reset_index(1, drop=True)
df.index.name = 'Date'
df.columns = list('ABC')