python 方差分析

pwd

‘d:\\python\\exerise-df\\df-data-analysis’

from scipy import stats
import pandas as pd
import numpy as np
from statsmodels.formula.api import ols
from statsmodels.stats.anova import anova_lm
from statsmodels.stats.multicomp import pairwise_tukeyhsd
import matplotlib.pyplot as plt

单因素方差分析

dat = pd.read_csv("one-way.csv")

dat.head()

	Variety	rep	y
0	A	b1	15.3
1	B	b1	18.0
2	C	b1	16.6
3	D	b1	16.4
4	E	b1	13.7

model = ols('y ~ Variety',dat).fit()

anovat = anova_lm(model)

print(anovat)

            df     sum_sq    mean_sq          F        PR(>F)
Variety    5.0  52.378333  10.475667  40.334118  3.662157e-09
Residual  18.0   4.675000   0.259722        NaN           NaN

二因素方差分析

dat = pd.read_csv("anova.csv")
dat.head()

	loc	cul	y
0	Ann	BH93	4.460
1	Ari	BH93	4.417
2	Aug	BH93	4.669
3	Cas	BH93	4.732
4	Del	BH93	4.390

formula = 'y~ loc + cul'
anova_results = anova_lm(ols(formula,dat).fit())
print(anova_results)

             df      sum_sq    mean_sq          F        PR(>F)
loc        17.0   22.671174   1.333598   9.087496  2.327448e-15
cul         8.0  114.536224  14.317028  97.560054  1.611882e-52
Residual  136.0   19.958126   0.146751        NaN           NaN