将新列添加到具有相同默认值的 DataFrame

Question

我想根据 'lNames' 列表添加一个名称列。但是我的代码在最后一次迭代中覆盖了整个列，如下所示：

import pandas as pd

def consulta_bc(codigo_bcb):
    url = 'http://api.bcb.gov.br/dados/serie/bcdata.sgs.{}/dados?formato=json'.format(codigo_bcb)
    df = pd.read_json(url)
    df['data'] = pd.to_datetime(df['data'], dayfirst=True)
    df.set_index('data', inplace=True)
    return df

lCodigos = [12, 11, 1, 21619, 21623, 12466]
lNames =   ['CDI', 'SELIC', 'USD', 'EUR', 'GPB', 'IMAB']

iter_len = len(lCodigos)
saida = pd.DataFrame()

for i in range(iter_len):
    saida = saida.append(consulta_bc(lCodigos[i]))
    saida['nome']= lNames[i]
saida.to_csv('Indice', sep=';', index=True)
saida

我们将不胜感激任何帮助

Answer 1

以这种方式更改 for 循环：

for i in range(iter_len):
    df = consulta_bc(lCodigos[i])
    df['nome'] = lNames[i]
    saida = saida.append(df)

将新列添加到具有相同默认值的 DataFrame

Add new column to DataFrame with same default value

python

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