how to use python panda to implement apriori algorithm how t

Solution

from itertools import combinations
def get_support(df): pp = []
for cnum in range(1, len(df.columns)+1):
for cols in combinations(df, cnum): s = df[list(cols)].all(axis=1).sum() pp.append([\",\".join(cols), s]) sdf = pd.DataFrame(pp, columns=[\"Pattern\", \"Support\"])
return sdf

After this give in the command line the following argument,

>>> s = get_support(df)
>>> s[s.Support >= 3]