pythonpandasstatsmodels

How can I print the ndarray compelete information?


I have been trying to match the output but I'm not getting the column names I got from df which I put into the statmodels.

import pandas
import statsmodels.api as statmodel
df = pandas.read_csv('fastfood.csv')

df = df[['total_fat', 'sat_fat', 'cholesterol', 'sodium','calories']]
X = df[['total_fat', 'sat_fat', 'cholesterol', 'sodium']].values
Y = df[['calories']].values
X = statmodel.add_constant(X)
model = statmodel.OLS(Y, X).fit()

print(model.mse_total.round(2))
print(model.rsquared.round(2))
print(model.params.round(2))
print(model.pvalues.round(2))

Output I got:

79770.18
0.9
[71.73  9.1   0.6   0.21  0.16]
[0.   0.   0.64 0.07 0.  ]

Output I need:

79770.18
0.9 
-{0,}71.73 
total_fat 9.10 
sat_fat . ..0.60 
cholesterol 0.21 
sodium... ...0.16 
dtype: float64 
{0,}0.00 
total_fat 0.00 
sat_fat. ..0.64 
cholesterol...0.07 
sodium .. ..0.00 
dtype: float64


Solution

  • I tried to remove the .values in the definitions of X and Y:

    import pandas
    import statsmodels.api as statmodel
    df = pandas.DataFrame({'total_fat': np.random.rand(100), 
                           'sat_fat': np.random.rand(100), 
                           'cholesterol': np.random.rand(100), 
                           'sodium': np.random.rand(100),
                           'calories': np.random.rand(100)})
    
    df = df[['total_fat', 'sat_fat', 'cholesterol', 'sodium','calories']]
    X = df[['total_fat', 'sat_fat', 'cholesterol', 'sodium']]
    Y = df[['calories']]
    X = statmodel.add_constant(X)
    model = statmodel.OLS(Y, X).fit()
    
    print(model.mse_total.round(2))
    print(model.rsquared.round(2))
    print(model.params.round(2))
    print(model.pvalues.round(2))
    

    and it gives me the following output:

    0.09
    0.02
    const          0.49
    total_fat     -0.07
    sat_fat        0.14
    cholesterol    0.02
    sodium        -0.01
    dtype: float64
    const          0.00
    total_fat      0.54
    sat_fat        0.21
    cholesterol    0.83
    sodium         0.89
    dtype: float64