Сергей Ильин

url = f"https://api.bgpview.io/asn/{asns}/prefixes"

for url in file.readlines():
    asns = url.strip()
    url = f"https://api.bgpview.io/asn/{asns}/prefixes"

for i in df.cat_number.unique():
    temp_df = df[df['cat_number']==i].sort_values(['DT','date'], ascending = (True, True))
    diff = (temp_df.tail(1).date.values - temp_df.head(1).DT.values)
    diff = diff[0].days
    df_c.loc[df_c[df_c['cat_number']==i].index, 'lifetime'] = diff

df['orvi_cumulative'] = df.groupby(level=-1)['orvi'].cumsum()

1. Нам нужно взять список кортежей
   
2. Определить индексы и (в моем случае) адреса
   
3. Использовать специальную конструкцию pandas: df.loc
   
   

for y in text_input:
    text_input_index = y[0]
    text_input_address = y[-1]
    csv_input.loc[csv_input['index'] == int(text_input_index),
                  'new_address'] = text_input_address

for i in text:
    print(i.text)