python与回归分析

我试图用python进行回归分析，但是有错误。请帮帮我

我已经导入了以下模块：

import pandas as pd 
import numpy as np
from scipy import stats
from statsmodels.sandbox.regression.predstd import wls_prediction_std
import statsmodels.api as sm
import matplotlib.pyplot as plt
%pylab

我得到的数据如下：

data=pd.read_csv('file.csv',names['storedate','amount','location'])

x=data['amount']
y=data['location']

AttributeError: 'numpy.ndarray' object has no attribute 'name'

然后我定义了x和y，如下所示：

data=pd.read_csv('file.csv',names['storedate','amount','location'])

x=data['amount']
y=data['location']

AttributeError: 'numpy.ndarray' object has no attribute 'name'

我试着做下面的代码 x=sm.add_constantx，prepend=False

但第一个错误如下所示：

data=pd.read_csv('file.csv',names['storedate','amount','location'])

x=data['amount']
y=data['location']

AttributeError: 'numpy.ndarray' object has no attribute 'name'

下面的代码也有错误：

model = sm.OLS(y,x)
results = model.fit()

信息是：

can't multiply sequence by non-int of type 'float'

---

我认为，错误消息不能将序列乘以“float”类型的非int，因为x和y不是numpy数组。使用

x = np.array(data['amount'])
y = np.array(data['location'])

而不是您当前对x和y的定义