python分散分析
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‘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
たんいんしぶんさんぶんせき
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
にいんしぶんさんぶんせき
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