aaacfe1dd17783d43772cd4083a96b4b5b2e5c34,research/src/fetch_campaign_donations.py,,,#,256
Before Change
donations_data_2012["candidates"], // noqa
donations_data_2014["candidates"], // noqa
donations_data_2016["candidates"]]) // noqa
donations_parties_concatenated = pd.concat([donations_data_2010["parties"],
donations_data_2012["parties"],
donations_data_2014["parties"],
donations_data_2016["parties"]]) // noqa
donations_committees_concatenated = pd.concat([donations_data_2010["committees"], // noqa
donations_data_2012["committees"], // noqa
donations_data_2014["committees"]]) // noqa
After Change
url = base_url + "prestacao_contas_final_2016.zip"
donations_data_2016 = download_base(url, "2016")
donations_data = [donations_data_2010, donations_data_2012,
donations_data_2014, donations_data_2016]
donations_candidates_concatenated = []
donations_parties_concatenated = []
donations_committees_concatenated = []
for data in donations_data:
correct_columns(data)
translate_columns(data)
if "candidates" in data.keys():
donations_candidates_concatenated.append(data["candidates"])
if "parties" in data.keys():
donations_parties_concatenated.append(data["parties"])
if "committees" in data.keys():
donations_committees_concatenated.append(data["committees"])
donations_candidates_concatenated = pd.concat(donations_candidates_concatenated) // noqa
donations_parties_concatenated = pd.concat(donations_parties_concatenated)
donations_committees_concatenated = pd.concat(donations_committees_concatenated) // noqa
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 7
Instances
Project Name: okfn-brasil/serenata-de-amor
Commit Name: aaacfe1dd17783d43772cd4083a96b4b5b2e5c34
Time: 2017-10-30
Author: europio123@gmail.com
File Name: research/src/fetch_campaign_donations.py
Class Name:
Method Name:
Project Name: keras-team/autokeras
Commit Name: 41c99fbf385a8c875fb6181ce7301e4bc218535b
Time: 2020-04-18
Author: jhfjhfj1@gmail.com
File Name: autokeras/keras_layers.py
Class Name: CategoricalEncoding
Method Name: call