为什么我的DataFrame点函数出现矩阵未对齐错误？

我正在尝试使用Numpy和Pandas在Python中实现简单的线性回归。但是我收到一个* ValueError：矩阵未对齐*错误，因为调用dot函数实际上是按照文档所述计算矩阵乘法。以下是代码段：

import numpy as np
import pandas as pd

#initializing the matrices for X, y and theta
#dataset = pd.read_csv("data1.csv")
dataset = pd.DataFrame([[6.1101,17.592],[5.5277,9.1302],[8.5186,13.662],[7.0032,11.854],[5.8598,6.8233],[8.3829,11.886],[7.4764,4.3483],[8.5781,12]])
X = dataset.iloc[:, :-1]
y = dataset.iloc[:, -1]
X.insert(0, "x_zero", np.ones(X.size), True)
print(X)
print(f"\n{y}")
theta = pd.DataFrame([[0],[1]])
temp = pd.DataFrame([[1],[1]])
print(X.shape)
print(theta.shape)
print(X.dot(theta))

这是相同的输出：

   x_zero       0
0     1.0  6.1101
1     1.0  5.5277
2     1.0  8.5186
3     1.0  7.0032
4     1.0  5.8598
5     1.0  8.3829
6     1.0  7.4764
7     1.0  8.5781

0    17.5920
1     9.1302
2    13.6620
3    11.8540
4     6.8233
5    11.8860
6     4.3483
7    12.0000
Name: 1, dtype: float64
(8, 2)
(2, 1)
Traceback (most recent call last):
  File "linear.py", line 16, in <module>
    print(X.dot(theta))
  File "/home/tejas/.local/lib/python3.6/site-packages/pandas/core/frame.py", line 1063, in dot
    raise ValueError("matrices are not aligned")
ValueError: matrices are not aligned

如您所见，这两个形状属性的输出，第二个轴具有相同的尺寸（2），点函数应返回8 * DataFrame。那么，为什么会出错呢？

问题来源：stackoverflow