将3d numpy数组转换为dataframe

import pandas as pd
import numpy as np

# 创建一个3D NumPy数组
data = np.random.randn(2, 3, 4)
print("原始数组：")
print(data)

# 将3D NumPy数组转换为DataFrame
df = pd.DataFrame(data.reshape(data.shape[0], -1))
print("\n转换后的DataFrame：")
print(df)

原始数组：
[[[-0.71311991 -0.24168424 -0.03727904 -1.48499391]
  [ 0.89484748  0.20122815 -0.36555403 -1.52415901]
  [-0.48308533  1.63197953 -0.00382628 -0.8860688 ]]

 [[-0.33916903 -0.28719508 -1.69699005 -0.06675835]
  [ 0.24222048  0.33519395  1.11954328 -1.44869329]
  [ 0.71689668  0.26650144  0.10514097 -0.01850301]]]

转换后的DataFrame：
          0         1         2         3         4         5         6   \
0 -0.713120 -0.241684 -0.037279 -1.484994  0.894847  0.201228 -0.365554   
1 -1.524159 -0.483085  1.631980 -0.003826 -0.886069 -0.339169 -0.287195   
2 -1.696990 -0.066758  0.242220  0.335194  1.119543 -1.448693  0.716897   
3  0.266501  0.105141 -0.018503