如何为Pandas Dataframe创建更多的随机行？

import pandas as pd
import numpy as np

# 原始Dataframe
df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]})

# 创建新的随机Dataframe
new_rows = 5
random_data = pd.DataFrame(np.random.randint(0, 10, size=(new_rows, len(df.columns))), columns=df.columns)

# 合并Dataframes
result = pd.concat([df, random_data], ignore_index=True)

import pandas as pd
import numpy as np

# 原始Dataframe
df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]})

# 创建新的随机行并追加到Dataframe
new_rows = 5
for _ in range(new_rows):
    random_row = pd.DataFrame(np.random.randint(0, 10, size=len(df.columns)).reshape(1, -1), columns=df.columns)
    df = df.append(random_row, ignore_index=True)

import pandas as pd
import numpy as np

# 原始Dataframe
df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]})

# 复制原始Dataframe
new_rows = 5
df_copy = df.repeat(new_rows + 1, axis=0)

# 在副本中将部分行的值替换为随机值
random_values = np.random.randint(0, 10, size=(new_rows, len(df.columns)))
df_copy.iloc[-new_rows:, :] = random_values