我怎样才能把下面从数值计算中得到的数据分成不同的列呢？

import random

import numpy as np
import pandas as pd

low = 0
high = 500
sample_size = 5

def get_numbers(low, high, sample_size):
    return random.sample(range(low, high), sample_size)

p_one = np.array(get_numbers(low, high, sample_size), dtype=int)
p_two = np.array(get_numbers(low, high, sample_size), dtype=int)
p_three = np.array(get_numbers(low, high, sample_size), dtype=int)
p_four = np.array(get_numbers(low, high, sample_size), dtype=int)
p_five = np.array(get_numbers(low, high, sample_size), dtype=int)

c_one = np.array(get_numbers(low, high, sample_size), dtype=int)
c_two = np.array(get_numbers(low, high, sample_size), dtype=int)
c_three = np.array(get_numbers(low, high, sample_size), dtype=int)
c_four = np.array(get_numbers(low, high, sample_size), dtype=int)
c_five = np.array(get_numbers(low, high, sample_size), dtype=int)

for idn in range(0, 10):  # ------------------n+1 for the last process step
    p = [p_one, p_two, p_three, p_four, p_five]
    c = [c_one, c_two, c_three, c_four, c_five]

df_final = pd.DataFrame(
    list(
        zip(
            p,
            c,
            "storage_workload",
            "storage_R1",
            "storage_R2",
            "storage_R3",
            "storage_R4",
            "storage_cycle_time",
            "storage_n",
            "storage_avg_opt_gap",
        )
    ),
    columns=[
        "Processing",
        "Cleaning",
        "workload",
        "R1",
        "R2",
        "R3",
        "R4",
        "Cycle time",
        "n",
        "Percentage Gap",
    ],
)

Excel中的预期结果：

谢谢你。