Hi, everyone.
I'm stucked some days with the creation of an attriibute that must be filled with the values from another example set, result from an aggregation operation. There is a "CNPJ" attribute on the main example set, that has it's values repeated over the 25.000+ rows. The aggregation set is made of 700+ rows of unique CNPJ values and a second collumn with it's counts ([count(CNPJ)]). What I need is to create a collumn with the count(CNPJ) value on every time the sameCNPJ appears on the main set.
The better way I found until now is Python Scripting, that is fully working. I made them be read through:
<div>import pandas</div><div><br></div><div>def rm_main(cnpj, data): # cnpj is the aggregation set and data is the sain set</div> # code<span>
return data</span>But already tried with these codes and all fail:
import pandas
def rm_main(cnpj, data):
data["CNPJ_count"] = [cnpj["count(CNPJ)"] for data["CNPJ"] = cnpj["CNPJ"] in data["CNPJ"]]
return dataimport pandas
def rm_main(cnpj, data):
CNPJ_count = []
for count in data["CNPJ"]:
if data["CNPJ"] == cnpj["CNPJ"]:
CNPJ_count.append(cnpj["count(CNPJ)"])
data["CNPJ_count"] = CNPJ_count
return dataAnyone could help?
