Any Python Library Produces Publication Style Regression Tables

Question

I've been using Python for regression analysis. After getting the regression results, I need to summarize all the results into one single table and convert them to LaTex (for publication). Is there any package that does this in Python? Something like estout in Stata that gives the following table:

Answer 1

One alternative is Stargazer. To get started quickly, refer to the set of demo tables that Stargazer can produce.

Related posts include: post1 and post2.

Answer 2

In addition to @Karl D. 's great answer with Statsmodels as_latex method, you can also check out the pystout package.

!pip install pystout

import pandas as pd
from sklearn.datasets import load_iris
import statsmodels.api as sm 
from pystout import pystout

data = load_iris()
df = pd.DataFrame(data = data.data, columns = data.feature_names)
df.columns = ['s_len', 's_w', 'p_len', 'p_w']

y = df['p_w']

X = df[['s_len', 's_w', 'p_len']]
m1 = sm.OLS(y, X).fit()

X = df[['s_len', 's_w']]
m2 =  sm.OLS(y, X).fit()

X = df[['s_len']]
m3 =  sm.OLS(y, X).fit()

pystout(models=[m1, m2, m3],
        file='test_table.tex',
        addnotes=['Note above','Note below'],
        digits=2,
        endog_names=['petal width', 'petal width', 'petal width'],
        varlabels={'const':'Constant',
                   'displacement':'Disp','mpg':'MPG'},
        mgroups={'First Group':[1,2],'Second Group':3},
        modstat={'nobs':'Obs','rsquared_adj':'Adj. R\sym{2}','fvalue':'F-stat'}
        )

Don't spend hours like me trying to print out pystout, the LateX output is directly written on the .tex document you pass for file.

When compiled, the output looks like this: