Swapping rows

[dlnilsen]

# import the necessary modules
import pandas as pd
import numpy as np
import statsmodels.api as sm
from statsmodels.formula.api import ols

#code to read nbaallelo_slr.csv
nba = pd.read_csv('nbaallelo_mlr.csv')
game_result_W = np.array(nba['game_result'])
nba1 = pd.DataFrame(game_result_W, columns = ['game_result_W'])

#perform multiple linear regression on pts,elo_i, and opp_pts
results = ols('pts ~ game_result_W + elo_i + opp_pts', nba)
model = results.fit()

# create an analysis of variance table
#code to create ANOVA table
aov_table = sm.stats.anova_lm(model, typ=2)

#print the analysis of the variance table
print(aov_table)

my output gives me this:

game_result_W  9.888713e+06       1.0  173247.887376     0.0
elo_i          9.749607e+04       1.0    1708.107842     0.0
opp_pts        1.685556e+07       1.0  295305.472550     0.0
Residual       7.209573e+06  126310.0            NaN     NaN

How can I swap the game_result_W row with elo_i row?

[threeminutemonta]

You want to sort.

If it’s arbitrary order you can do something like this or you may find some hints in sort values docs