86d4c5df21db07ab75e7eac9ed36d2799b4bf440,research/src/fetch_campaign_donations.py,Donation,data,#Donation#,90

Before Change

        Returns a dictionary with data frames for candidates, parties and
        committees
        
        files = self.FILENAMES.get(year)
        if not files:  // it"s 2010, a different file architecture
            return {
                "candidates": self._data_by_pattern("Receitas", "candidato"),
                "parties": self._data_by_pattern("Receitas", "partido"),

After Change

            if key in data:
                // strip columns names ("foobar " -> "foobar")
                names = data[key].columns.values
                cleaned_columns = {name: name.strip() for name in names}
                data[key].rename(columns=cleaned_columns, inplace=True)
                // normalize & translate
                data[key].rename(columns=normalize_columns, inplace=True)

Instances