company - Posts - OneCompiler

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Importpandasaspd
#Createthedataset
Data={‘No’:[1,2,3,4]
‘Company’:[‘
,
Tata’,‘
MG’,‘Kia’
‘Model’
:[‘Nexon’
,‘Astor’
‘Year’
,‘Hyundai’
,‘Seltos’
:[2017,2021,2019,2015]}
Df=pd.DataFrame(data)
#Convertcategoricalval
],
,‘Creta’
],
uesintonumericformat
Df[‘
Company’]=pd.Categorical
(df[‘
Df[‘
Model’]=pd.Categori
cal(df[
Company’])
‘Model’
])
Df[‘
Company’]=df[‘
Company’].cat.
codes
c
temsetsandassociation
Df[‘
Model’]=df[‘
Model’].
cat.codes
Print(df)
Frommlxtend.frequent_patternsi
mportapriori
Frommlxtend.frequent_patternsi
mportassociati
on_rules
#Generatefrequentitemsetswithmin_sup=0.5
Frequent_i
temsets=apriori
(df,min_support=0.
Print(fr
equent_itemsets)
#Generateassociati
5,use_colnames=True)
onruleswithmin_threshol
d=0.7
Associati
on_rules=associati
on_rules(frequent_i
min_threshol
d=0.7)
Print(associ
ation_rul
es