ValueError: Number of passed names did not match number of header fields in the file
时间: 2024-01-03 15:05:17 浏览: 53
这个错误通常是因为指定的列名数量与文件中列的数量不匹配。请检查你指定的列名数量是否正确,并确保文件中列的数量与指定的列名数量相同。如果你没有指定列名,则可以通过设置`header=None`来告诉Pandas该文件中没有列名。如果你指定的列名数量与文件中列的数量不同,可以尝试将列名设置为`None`,让Pandas自动推断列名。你可以尝试以下代码:
```
data = pd.read_csv('/home/w123/Documents/data-analysis/40-0-data/ratio/40-0-ratio.txt', header=None, usecols=[1, 2])
y = data.iloc[:, :-1].values.reshape(-1, 1)
X = data.iloc[:, -1].values.reshape(-1, 1)
regressor = LinearRegression()
regressor.fit(X, y)
y_pred = regressor.predict(X)
print("Regression Function: y = {:.2f} + {:.2f}x".format(regressor.intercept_[0], regressor.coef_[0][0]))
plt.scatter(X, y, color='blue')
plt.plot(X, y_pred, color='red')
data2 = pd.read_csv('/home/w123/Documents/data-analysis/40-0-data/ratio/40-5-ratio.txt', header=None, usecols=[1, 2])
y2 = data2.iloc[:, :-1].values.reshape(-1, 1)
X2 = data2.iloc[:, -1].values.reshape(-1, 1)
regressor2 = LinearRegression()
regressor2.fit(X2, y2)
y2_pred = regressor2.predict(X2)
print("Regression Function: y = {:.2f} + {:.2f}x".format(regressor2.intercept_[0], regressor2.coef_[0][0]))
plt.scatter(X2, y2, color='green')
plt.plot(X2, y2_pred, color='orange')
plt.legend(['Regression Line 2', 'Observations 2'])
data3 = pd.read_csv('/home/w123/Documents/data-analysis/40-0-data/ratio/40-10-ratio.txt', header=None, usecols=[1, 2])
y3 = data3.iloc[:, :-1].values.reshape(-1, 1)
X3 = data3.iloc[:, -1].values.reshape(-1, 1)
regressor3 = LinearRegression()
regressor3.fit(X3, y3)
y3_pred = regressor3.predict(X3)
print("Regression Function: y = {:.2f} + {:.2f}x".format(regressor3.intercept_[0], regressor.coef_[0][0]))
plt.scatter(X3, y3, color='purple')
plt.plot(X3, y3_pred, color='yellow')
plt.title('Linear Regression')
plt.xlabel('Independent Variable')
plt.ylabel('Dependent Variable')
plt.legend(['Regression Line 1', 'Observations 1', 'Regression Line 2', 'Observations 2', 'Regression Line 3', 'Observations 3'])
plt.show()
```