ratio_5,0.3065785317512653,145 ratio_5,0.3194132618406324,290 ratio_5,0.31162969082672737,435 ratio_5,0.3045491045889889,580 ratio_5,0.3030970127277265,725 ratio_5,0.3185407370561023,870 ratio_5,0.30540955312096457,1015 ratio_5,0.31381500919087124,1160 ratio_5,0.3030518520464326,1305 ratio_5,0.3074820408571037,1450 ratio_5,0.3108109193585928,1595 ratio_5,0.3079791598589119,1740

看起来你的数据文件是以逗号分隔的，但你在读取数据时指定了分隔符为制表符，导致程序出现了错误。

你可以将代码中的 `sep='\t'` 修改为 `sep=','`，这样就能正确地读取数据文件了。修改后的代码如下：

import pandas as pd
import matplotlib.pyplot as plt
from sklearn.linear_model import LinearRegression

# 读取数据
data = pd.read_csv('ratio_5.txt', sep=',', header=None)

# 提取 x 和 y 数据
x = data[2].values.reshape(-1, 1)
y = data[1].values.reshape(-1, 1)

# 绘制散点图
plt.scatter(x, y)
plt.xlabel('x')
plt.ylabel('y')
plt.title('线性回归图')

# 训练线性回归模型
model = LinearRegression()
model.fit(x, y)

# 绘制回归直线
plt.plot(x, model.predict(x), color='red')

# 输出回归方程
print('回归方程：y = {:.2f}x + {:.2f}'.format(model.coef_[0][0], model.intercept_[0]))

# 显示图形
plt.show()

希望这次能够顺利运行！

相关问题

给我一段python代码，提取ratio_avg,0.3040706318225739,1 perclos,0.1,1 ratio_avg,0.29619502717213075,2 perclos,0.1,2 ratio_avg,0.2977856306116322,3 perclos,0.1,3 ratio_avg,0.298256166378347,4 perclos,0.1,4 ratio_avg,0.298589205467087,5 perclos,0.1,5 ratio_avg,0.3005083686230243,6 perclos,0.1,6 ratio_avg,0.2981722974161423,7 perclos,0.1,7 ratio_avg,0.30025224530468264,8 perclos,0.1,8 ratio_avg,0.30056005238736205,9 perclos,0.1,9 ratio_avg,0.29734692150973696,12里面ratio_avg行

好的，以下是一段可以提取上述字符串中`ratio_avg`行的Python代码：

data = "ratio_avg,0.3040706318225739,1 perclos,0.1,1 ratio_avg,0.29619502717213075,2 perclos,0.1,2 ratio_avg,0.2977856306116322,3 perclos,0.1,3 ratio_avg,0.298256166378347,4 perclos,0.1,4 ratio_avg,0.298589205467087,5 perclos,0.1,5 ratio_avg,0.3005083686230243,6 perclos,0.1,6 ratio_avg,0.2981722974161423,7 perclos,0.1,7 ratio_avg,0.30025224530468264,8 perclos,0.1,8 ratio_avg,0.30056005238736205,9 perclos,0.1,9 ratio_avg,0.29734692150973696,12"
ratio_lines = [line for line in data.split() if line.startswith('ratio_avg')]
print(ratio_lines)

这段代码将待处理的字符串赋值给`data`变量，并使用`split()`方法将其转换为列表，列表中的每个元素是原字符串中以空格分隔的部分。然后，使用列表推导式筛选出以`ratio_avg`开头的行，并将其保存在`ratio_lines`列表中。最后，使用`print()`函数输出`ratio_lines`列表的内容。