看看代码的方式，要获得每个骰子的值似乎是非常困难的，而不循环遍历它自己的行上的trows，并将值附加到嵌入到循环中的列表。我的解决方案是设置两个不同的表，然后将它们连接在一起。你可以在下面看到我的代码：

import pandas as pd
import numpy as np

throws = 50
diepd = pd.DataFrame([1, 2, 3, 4, 5, 6])
dienp = np.array([1,2,3,4,5,6])
np.random.seed(1)
np_roll=[]
pd_roll=[]
for i in range(3):
    np_roll.append([])
    pd_roll.append([])
for i in range(throws):
    for j in range(2):
        np_roll[j].append(np.random.choice(dienp,1,True).sum())
        pd_roll[j].append(diepd.sample(1, replace=True).sum().loc[0])
        np_roll[j]=list(np_roll[j])
        pd_roll[j]=list(pd_roll[j])
    np_roll[2].append(np_roll[0][i]+np_roll[1][i])
    pd_roll[2].append(pd_roll[0][i]+pd_roll[1][i])
    

np_df = pd.DataFrame(data={'Roll 1': np_roll[0], 'Roll 2': np_roll[1], "Sum": np_roll[2]})
pd_df = pd.DataFrame(data={'Roll 1': pd_roll[0], 'Roll 2': pd_roll[1], "Sum": pd_roll[2]})

compare = pd.concat([np_df, pd_df],axis=1,keys=["Numpy", "Pandas"])

pd.set_option('display.max_columns', None)
print(compare)

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这可以如下完成

import numpy as np
import pandas as pd

arrays = [
    ["numpy", "numpy", "numpy", "pandas", "pandas", "pandas"],
    ["throw1", "throw2", "sum", "throw1", "throw2", "sum"]
]
tuples = list(zip(*arrays))
col_index = pd.MultiIndex.from_tuples(tuples)

throws = 50
diepd = pd.DataFrame([1, 2, 3, 4, 5, 6])
dienp = np.array([1, 2, 3, 4, 5, 6])
np.random.seed(1)

# Create the throw1 and throw2 columns from dienp
throw1_np = np.random.choice(dienp, throws, replace=True)
throw2_np = np.random.choice(dienp, throws, replace=True)

# Create the throw1 and throw2 columns from diepd
throw1_pd = diepd.sample(throws, replace=True).values
throw2_pd = diepd.sample(throws, replace=True).values

# Create
# Add throw1 and throw2 to obtain sum
sum_np = throw1_np + throw2_np
sum_pd = throw1_pd + throw2_pd

df = pd.DataFrame(np.column_stack([throw1_np, throw2_np, sum_np, throw1_pd, throw2_pd, sum_pd]), columns=col_index)

print(df.head())

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