绘制 Pandas OLS 线性回归结果
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Plotting Pandas OLS linear regression results
提问by ccsv
How would I plot my linear regression results for this linear regression I did from pandas?
我将如何为我从 Pandas 做的这个线性回归绘制我的线性回归结果？
import pandas as pd
from pandas.stats.api import ols
df = pd.read_csv('Samples.csv', index_col=0)
control = ols(y=df['Control'], x=df['Day'])
one = ols(y=df['Sample1'], x=df['Day'])
two = ols(y=df['Sample2'], x=df['Day'])
I tried plot()but it did not work. I want to plot all three samples on one plot are there any pandas code or matplotlib code to hadle data in the format of these summaries?
我试过了，plot()但没有用。我想在一个图上绘制所有三个样本 是否有任何 Pandas 代码或 matplotlib 代码来处理这些摘要格式的数据？
Anyways the results look like this:
无论如何，结果如下所示：
Control
控制
------------------------Summary of Regression Analysis-------------------------
Formula: Y ~ <x> + <intercept>
Number of Observations: 7
Number of Degrees of Freedom: 2
R-squared: 0.5642
Adj R-squared: 0.4770
Rmse: 4.6893
F-stat (1, 5): 6.4719, p-value: 0.0516
Degrees of Freedom: model 1, resid 5
-----------------------Summary of Estimated Coefficients------------------------
Variable Coef Std Err t-stat p-value CI 2.5% CI 97.5%
--------------------------------------------------------------------------------
x -0.4777 0.1878 -2.54 0.0516 -0.8457 -0.1097
intercept 41.4621 2.9518 14.05 0.0000 35.6766 47.2476
---------------------------------End of Summary---------------------------------
one
一
-------------------------Summary of Regression Analysis-------------------------
Formula: Y ~ <x> + <intercept>
Number of Observations: 6
Number of Degrees of Freedom: 2
R-squared: 0.8331
Adj R-squared: 0.7914
Rmse: 2.0540
F-stat (1, 4): 19.9712, p-value: 0.0111
Degrees of Freedom: model 1, resid 4
-----------------------Summary of Estimated Coefficients------------------------
Variable Coef Std Err t-stat p-value CI 2.5% CI 97.5%
--------------------------------------------------------------------------------
x -0.4379 0.0980 -4.47 0.0111 -0.6300 -0.2459
intercept 29.6731 1.6640 17.83 0.0001 26.4116 32.9345
---------------------------------End of Summary---------------------------------
two
二
-------------------------Summary of Regression Analysis-------------------------
Formula: Y ~ <x> + <intercept>
Number of Observations: 5
Number of Degrees of Freedom: 2
R-squared: 0.8788
Adj R-squared: 0.8384
Rmse: 1.0774
F-stat (1, 3): 21.7542, p-value: 0.0186
Degrees of Freedom: model 1, resid 3
-----------------------Summary of Estimated Coefficients------------------------
Variable Coef Std Err t-stat p-value CI 2.5% CI 97.5%
--------------------------------------------------------------------------------
x -0.2399 0.0514 -4.66 0.0186 -0.3407 -0.1391
intercept 24.0902 0.9009 26.74 0.0001 22.3246 25.8559
---------------------------------End of Summary---------------------------------
采纳答案by dartdog
You may find this question of mine helpful Getting the regression line to plot from a Pandas regression
您可能会发现我的这个问题很有帮助从 Pandas 回归中绘制回归线
I tried to find some of my code doing a ols plot with Pandas,, but could not lay my hand on it, In general you would probably be better off using Statsmodels for this, it knows about Pandas datastructures.. so the transition is not too hard. Then my answer and the referenced examples will make more sense..
我试图找到我的一些代码，用 Pandas 做一个 ols 绘图，但无法解决它，总的来说，你最好使用 Statsmodels，它知道 Pandas 数据结构......所以过渡不是太难。然后我的回答和引用的例子会更有意义..
