所以我发现我的问题，它位于代码的前面，我最初从另一个数据帧中切出了change_details。change_details = gdp_sched_today[[start_date', 'end_date']]change_details.columns = ['Planned Start Date', 'Planned End Date']change_details['Planned Start Date'] = change_details['Planned Start Date'].dt.strftime('%d/%m/%Y %h:%M')change_details['Planned End Date'] = change_details['Planned End Date'].dt.strftime('%d/%m/%Y %H:%M')我可以通过在第一行添加 .copy() 来解决这个问题，确保 Pandas 知道我打算将其设为副本而不是视图。change_details = gdp_sched_today[[start_date', 'end_date']].copy()change_details.columns = ['Planned Start Date', 'Planned End Date']change_details['Planned Start Date'] = change_details['Planned Start Date'].dt.strftime('%d/%m/%Y %h:%M')change_details['Planned End Date'] = change_details['Planned End Date'].dt.strftime('%d/%m/%Y %H:%M')如果警告能更清楚地说明触发它的原因，那就太好了:)
2 回答
隔江千里
TA贡献1906条经验 获得超10个赞
表存在于iframe您需要iframe先切换才能访问的内部table。
引发WebDriverWait()等待frame_to_be_available_and_switch_to_it()和下面的定位符。
引发WebDriverWait()等待visibility_of_element_located()和下面的定位符。
driver.get("https://learn.microsoft.com/en-us/windows/release-information/")
WebDriverWait(driver,10).until(EC.frame_to_be_available_and_switch_to_it((By.ID,"winrelinfo_iframe")))
table=WebDriverWait(driver,10).until(EC.visibility_of_element_located((By.CSS_SELECTOR,"table.cells-centered")))
您需要导入以下库。
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_conditions as EC
或者您将下面的代码与xpath.
driver.get("https://learn.microsoft.com/en-us/windows/release-information/")
WebDriverWait(driver,10).until(EC.frame_to_be_available_and_switch_to_it((By.ID,"winrelinfo_iframe")))
table=WebDriverWait(driver,10).until(EC.presence_of_element_located((By.XPATH,'//*[@id="winrelinfo_container"]/table[1]')))
您可以将表数据进一步导入到 pandas 数据框，然后导出到 csv 文件。您需要导入 pandas。
driver.get("https://learn.microsoft.com/en-us/windows/release-information/")
WebDriverWait(driver,10).until(EC.frame_to_be_available_and_switch_to_it((By.ID,"winrelinfo_iframe")))
table=WebDriverWait(driver,10).until(EC.presence_of_element_located((By.XPATH,'//*[@id="winrelinfo_container"]/table[1]'))).get_attribute('outerHTML')
df=pd.read_html(str(table))[0]
print(df)
df.to_csv("path/to/csv")
导入熊猫：pip install pandas
然后添加以下库
import pandas as pd
撒科打诨
TA贡献1934条经验 获得超2个赞
该表位于 内部<iframe>，因此BeautifulSoup在原始页面中看不到它：
import requests
from bs4 import BeautifulSoup
url = 'https://learn.microsoft.com/en-us/windows/release-information/'
soup = BeautifulSoup(requests.get(url).content, 'html.parser')
soup = BeautifulSoup(requests.get(soup.select_one('iframe')['src']).content, 'html.parser')
for row in soup.select('table tr'):
print(row.get_text(strip=True, separator='\t'))
印刷：
Version Servicing option Availability date OS build Latest revision date End of service: Home, Pro, Pro Education, Pro for Workstations and IoT Core End of service: Enterprise, Education and IoT Enterprise
2004 Semi-Annual Channel 2020-05-27 19041.546 2020-10-01 2021-12-14 2021-12-14 Microsoft recommends
1909 Semi-Annual Channel 2019-11-12 18363.1110 2020-09-16 2021-05-11 2022-05-10
1903 Semi-Annual Channel 2019-05-21 18362.1110 2020-09-16 2020-12-08 2020-12-08
1809 Semi-Annual Channel 2019-03-28 17763.1490 2020-09-16 2020-11-10 2021-05-11
1809 Semi-Annual Channel (Targeted) 2018-11-13 17763.1490 2020-09-16 2020-11-10 2021-05-11
1803 Semi-Annual Channel 2018-07-10 17134.1726 2020-09-08 End of service 2021-05-11
...and so on.
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