python-3.x - python中的静默错误处理？

Question

我有大量网址的csv文件。为了方便起见，我将其读入pandas数据框。稍后我需要做一些统计工作- Pandas 很方便。看起来有点像这样:

import pandas as pd
csv = [{"URLs" : "www.mercedes-benz.de", "electric" : 1}, {"URLs" : "www.audi.de", "electric" : 0}, {"URLs" : "ww.audo.e", "electric" : 0}, {"URLs" : "NaN", "electric" : 0}]
df = pd.DataFrame(csv)

我的任务是检查网站是否包含某些字符串，并添加一个额外的列(如果包含)，否则添加0。例如:我要检查，是否www.mercedes-benz.de是否包含字符串car。我执行以下操作:

for i, row in df.iterrows():
    page_content = requests.get(row['URLs'])
    if "car" in page_content.text:
        df.loc[i, 'car'] = '1'
    else:
        df.loc[i, 'car'] = '0' 

问题是:有时URL错误/丢失。我的小脚本导致错误。

如果网址错误/丢失，如何处理/抑制错误？而且，我该如何在这种情况下，请使用df.loc[i, 'url_wrong'] = '1'表示网址错误/丢失？

Answer 1

尝试定义一个函数，该函数首先进行“汽车”检查，并使用 Pandas .apply的Series方法获取1，0或Wrong URL。以下内容应有所帮助:

import pandas as pd
import requests


data = [{"URLs" : "https://www.mercedes-benz.de", "electric" : 1},
        {"URLs" : "https://www.audi.de", "electric" : 0}, 
        {"URLs" : "https://ww.audo.e", "electric" : 0}, 
        {"URLs" : "NaN", "electric" : 0}]


def contains_car(link):
    try:
        return int('car' in requests.get(link).text)
    except:
        return "Wrong/Missing URL"


df = pd.DataFrame(data)

df['extra_column'] = df.URLs.apply(contains_car)


#                           URLs  electric extra_column
# 0  https://www.mercedes-benz.de         1            1
# 1           https://www.audi.de         0            1
# 2             https://ww.audo.e         0    Wrong/Missing URL
# 3                           NaN         0    Wrong/Missing URL

编辑:

您可以在HTTP请求的返回文本中搜索多个关键字。根据您设置的条件，可以使用内置函数any或内置函数all来完成此操作。使用any意味着找到任何关键字应返回1，而使用all则意味着必须匹配所有关键字才能返回1。在下面的示例中，我将any与诸如“car”，“automobile”之类的关键字一起使用'，'车辆':

import pandas as pd
import requests


data = [{"URLs" : "https://www.mercedes-benz.de", "electric" : 1},
        {"URLs" : "https://www.audi.de", "electric" : 0}, 
        {"URLs" : "https://ww.audo.e", "electric" : 0}, 
        {"URLs" : "NaN", "electric" : 0}]


def contains_keywords(link, keywords):
    try:
        output = requests.get(link).text
        return int(any(x in output for x in keywords))
    except:
        return "Wrong/Missing URL"


df = pd.DataFrame(data)
mykeywords = ('car', 'vehicle', 'automobile')
df['extra_column'] = df.URLs.apply(lambda l: contains_keywords(l, mykeywords))

应该产生:

#                            URLs  electric       extra_column
# 0  https://www.mercedes-benz.de         1                  1
# 1           https://www.audi.de         0                  1
# 2             https://ww.audo.e         0  Wrong/Missing URL
# 3                           NaN         0  Wrong/Missing URL

我希望这有帮助。