我正在从此platform中刮除表格。检索所有信息后,我将它们成功存储到列表中。接下来,我想从包含记录的列表中过滤单位(km2)。
例如:
集水区的面积为0.1 km2,我想删除该列中所有记录的km2
我使用的方法是:
# -*- coding utf-8 -*-
from selenium.webdriver.firefox.options import Options
from selenium import webdriver
import time
import os
import shutil
from bs4 import BeautifulSoup
import uuid
import csv
import dateutil.parser as parser
import pandas as pd
from selenium.webdriver.support.select import Select
class crawlOcean():
def __init__(self):
print("hurray33")
global downloadDir
global uFileName
global filname
downloadDir = ""
uFileName = str(uuid.uuid4())
filname = downloadDir + uFileName + ".csv"
pd.set_option('display.max_rows', 500)
pd.set_option('display.max_columns', 500)
pd.set_option('display.width', 1000)
fp = webdriver.FirefoxProfile()
fp.set_preference("browser.download.folderList", 2)
fp.set_preference("browser.download.manager.showWhenStarting", False)
fp.set_preference("browser.download.dir", downloadDir)
fp.set_preference("browser.helperApps.neverAsk.saveToDisk",
"attachment/csv")
options = Options()
options.add_argument("--headless")
self.driver = webdriver.Firefox(firefox_profile=fp)
#self.driver = webdriver.Firefox()
print("hurray")
self.driver.implicitly_wait(15)
self.driver.get("http://www.epa.ie/hydronet/#Water%20Levels")
self.verificationErrors = []
self.accept_next_alert = True
def crawl(self):
print("see")
driver = self.driver
driver.execute_script("window.scrollTo(0, 800)")
driver.find_element_by_id("dijit_MenuItem_3_text").click()
driver.find_element_by_xpath('//td[.="All"]').click()
driver.find_element_by_xpath('//td[.="Active EPA/LA (239)"]').click()
soup = BeautifulSoup(driver.page_source, 'html.parser')
headers = []
for m in soup.find_all("th"):
headers.append(m.get_text())
print(headers)
content = []
finalContent = []
filterList = ["km²"]
for table in soup.find_all("table")[5::]:
for row in table.find_all("tr"):
contentCells = []
for cells in row.find_all("td"):
if cells.text.split()not in filterList:
contentCells.append(cells.text)
content.append(contentCells)
print(content)
with open(filname, 'w', newline='') as f:
writer = csv.writer(f)
writer.writerow(headers)
writer.writerows(content)
driver.close()
if __name__ == '__main__':
obj = crawlOcean()
obj.crawl()
样本输出:
['Station number', 'Station name', 'Waterbody', 'Status', 'Type of Gauge', 'Catchment area', 'Data Provider', 'River Basin', 'Timestamp', 'Value', 'Unit']
[['14107', 'BAYLOUGH BR.', 'BARROW', 'Active', 'Recorder', '431.50 km²', 'Environmental Protection Agency', 'Barrow', '25-10-2018 09:00', '58.419', 'm OD Malin (OSGM02)'], ['18118', 'SHANBALLYMORE', 'SPRING', 'Active', 'Recorder', '0.00 km²', 'Environmental Protection Agency', 'Blackwater (Munster)', '25-10-2018 09:00', '0.432', '---'], ['14108', 'BALLYNAFAGH', 'STREAM', 'Active', 'Recorder', '0.00 km²', 'Environmental Protection Agency', 'Barrow', '25-10-2018 09:00', '84.531', 'm OD Malin (OSGM02)'], ['14104', 'GREESEMOUNT', 'GREESE', 'Active', 'Recorder', '74.60 km²', 'Environmental Protection Agency', 'Barrow', '25-10-2018 08:00', '90.877', 'm OD Malin (OSGM02)'], ['14100', 'KYLE SPRING', 'SPRING', 'Active', 'Recorder', '0.00 km²', 'Environmental Protection Agency', 'Barrow', '17-10-2018 14:15', '91.595', 'm OD Malin (OSGM02)'], ['03059', 'DRUMULLY BR.', 'MOUNTAIN WATER', 'Active', 'Staff Gauge Only', '0.00 km²', 'Environmental Protection Agency', 'Blackwater (Ulster)', '01-10-2018 12:45', '100.280', 'm (TBM)'], ['03070', 'EMY LOUGH', 'EMY LOUGH', 'Active', 'Recorder', '', 'Environmental Protection Agency', 'Blackwater (Ulster)', '25-10-2018 09:00', '50.884', 'm OD (Poolbeg)'], ['03057', 'EMYVALE WEIR', 'MOUNTAIN WATER', 'Active', 'Recorder', '37.80 km²', 'Environmental Protection Agency', 'Blackwater (Ulster)', '25-10-2018 09:00', '52.431', 'm OD Malin (OSGM02)'], ['18048', 'DROMCUMMER', 'BLACKWATER [MUNSTER]', 'Active', 'Recorder', '867.70 km²', 'Environmental Protection Agency', 'Blackwater (Munster)', '25-10-2018 01:00', '60.605', 'm OD Malin (OSGM02)'], ['14057', 'TIMOLIN', 'BOTHOGUE', 'Active', 'Recorder', '18.20 km²', 'Environmental Protection Agency', 'Barrow', '25-10-2018 09:00', '89.953', 'm OD Malin (OSGM02)'], ['28011', 'DOO LOUGH OUTFLOW', '---', 'Active', 'Recorder', '22.81 km²', 'Environmental Protection Agency', 'Annageeragh-Annagh-Creegh', '25-10-2018 09:00', '80.743', 'm OD Malin (OSGM02)'], ['07071', 'SKEAGH', 'SKEAGH L.', 'Active', 'Recorder', '5.30 km²', 'Environmental Protection Agency', 'Boyne', '15-08-2018 14:00', '149.503', 'm OD (Poolbeg)'], ['03051', 'FAULKLAND', 'BLACKWATER (MONAGHAN)', 'Active', 'Recorder', '143.20 km²', 'Environmental Protection Agency', 'Blackwater (Ulster)', '19-09-2018 17:00', '41.572', 'm OD Malin (OSGM02)'], ['07077', 'WHITE LOUGH.', 'ANNAGH OR WHITE LOUGH', 'Active', 'Recorder', '0.00 km²', 'Environmental Protection Agency', 'Boyne', '05-09-2018 13:30', '105.169', 'm OD Malin (OSGM02)'], ['10038', 'DRUIDS GLEN', 'STREAM', 'Active', 'Recorder', '16.00 km²', 'Environmental Protection Agency', 'Potters-Redcross-Three Mile Water', '25-10-2018 09:00', '19.377', 'm OD Malin (OSGM02)'], ['36031', 'LISDARN', 'CAVAN', 'Active', 'Recorder', '63.80 km²', 'Environmental Protection Agency', 'Erne', '25-10-2018 09:00', '52.317', 'm OD Malin (OSGM02)'], ['07074', 'BALLANY', 'LENE L.', 'Active', 'Recorder', '13.00 km²', 'Environmental Protection Agency', 'Boyne', '25-10-2018 09:00', '92.667', 'm OD Malin (OSGM02)'], ['16047', 'CARROWCLOGH', 'ARA', 'Active', 'Recorder', '44.10 km²', 'Environmental Protection Agency', 'Suir', '25-10-2018 08:00', '80.820', 'm OD Malin (OSGM02)'], ['30012', 'CLAREGALWAY', 'CLARE', 'Active', 'Recorder', '1072.90 km²', 'Environmental Protection Agency', 'Corrib', '24-10-2018 20:30', '6.355', 'm OD Malin (OSGM02)'], ['16045', 'BALLYSHONOCK RESRVR.', 'DAWN', 'Active', 'Recorder', '5.20 km²', 'Environmental Protection Agency', 'Suir', '09-08-2018 13:15', '89.683', 'm OD Malin (OSGM02)'], ['07078', 'LOUGH BANE', 'BANE L.', 'Active', 'Recorder', '', 'Environmental Protection Agency', '---', '25-10-2018 09:00', '111.051', 'm OD Malin (OSGM02)'], ['10028', 'KNOCKNAMOHILL', 'AUGHRIM', 'Active', 'Recorder', '203.00 km²', 'Environmental Protection Agency', 'Avoca', '24-10-2018 20:00', '21.322', 'm OD Malin (OSGM02)'], ['29071', 'CUTRA', 'L. CUTRA', 'Active', 'Recorder', '123.80 km²', 'Environmental Protection Agency', 'Kinvarra', '25-10-2018 08:15', '32.694', 'm OD Malin (OSGM02)'], ['25070', 'WHITEBRIDGE.', 'L.ENNELL', 'Active', 'Recorder', '147.80 km²', 'Environmental Protection Agency', 'Shannon', '25-10-2018 09:00', '78.934', 'm OD Malin (OSGM15)'], ['29018', 'CLARINBRIDGE SPRING', 'SPRING', 'Active', 'Recorder', '', 'Environmental Protection Agency', 'Kilcogan', '27-09-2018 12:30', '2.926', 'm OD Malin (OSGM02)'], ['25072', 'CAPTAIN S HILL', 'OWEL L.', 'Active', 'Recorder', '22.60 km²', 'Environmental Protection Agency', 'Shannon', '25-10-2018 09:00', '96.146', 'm OD Malin (OSGM15)'], ['10021', 'COMMON S ROAD', 'SHANGANAGH', 'Active', 'Recorder', '32.50 km²', 'Environmental Protection Agency', 'Loughlinstown', '25-10-2018 08:00', '10.806', 'm OD (Poolbeg)'], ['26204', 'BALLYMARTIN', 'HIND', 'Active', 'Recorder', '44.70 km²', 'Environmental Protection Agency', 'Shannon', '25-10-2018 09:00', '40.009', 'm OD Malin (OSGM02)'], ['33001', 'GLENAMOY', 'GLENAMOY', 'Active', 'Recorder', '76.10 km²', 'Environmental Protection Agency', 'Glenamoy-Ballinglen-Glencullen', '25-10-2018 09:00', '3.901', 'm OD Malin (OSGM15)'], ['22031', 'KILLARNEY SW (New)', 'L. LEANE TRIB', 'Active', 'Recorder', '0.06 km²', 'Environmental Protection Agency', 'Laune', '21-08-2018 11:15', '19.570', 'm OD Malin (OSGM02)'], ['32076', 'DOO LOUGH', 'DOO LOUGH [MAYO]', 'Active', 'Recorder', '0.00 km²', 'Environmental Protection Agency', 'Owenglin-Dawros-Culin-Traheen', '03-09-2018 11:30', '30.237', 'm OD Malin (OSGM02)'], ['32073', 'LETTERETTRIM', 'L. FEE', 'Active', 'Recorder', '15.70 km²', 'Environmental Protection Agency', 'Carrownisky-Owenwee-Carrowbeg', '25-10-2018 09:00', '44.589', 'm OD Malin (OSGM15)'], ['32070', 'L.FEEAGH', 'L. FEEAGH', 'Active', 'Recorder', '84.30 km²', 'Environmental Protection Agency', 'Srahmore', '25-10-2018 09:00', '10.852', 'm OD Malin (OSGM15)'], ['32026', 'BUNDORRAGHA', 'BUNDORRAGHA', 'Active', 'Recorder', '48.30 km²', 'Environmental Protection Agency', 'Owenglin-Dawros-Culin-Traheen', '25-10-2018 09:00', '3.358', 'm OD Malin (OSGM15)'], ['25046', 'LISMOYNY', 'BROSNA', 'Active', 'Recorder', '304.50 km²', 'Environmental Protection Agency', 'Shannon', '25-10-2018 09:00', '57.021', 'm OD Malin (OSGM15)'], ['35073', 'L.GILL', 'L.GILL', 'Active', 'Recorder', '362.60 km²', 'Environmental Protection Agency', 'Garvogue', '25-10-2018 09:00', '3.823', 'm OD Malin (OSGM15)'], ['25044', 'COOLE', 'KILMASTULLA', 'Active', 'Recorder', '92.54 km²', 'Environmental Protection Agency', 'Shannon', '25-10-2018 08:15', '29.649', 'm OD Malin (OSGM02)'], ['35072', 'TRASGARVE', 'L. EASKY', 'Active', 'Recorder', '10.70 km²', 'Environmental Protection Agency', 'Easky-Dunneil', '06-09-2018 10:45', '183.646', 'm OD Malin (OSGM02)']
有人帮助我遵循正确的方法吗?
答案 0 :(得分:1)
如果您有字符串列表,并且其中一些以例如
结尾my_list = ['14107', 'BAYLOUGH BR.', '25-10-2018 09:00', '58.419', 'm OD Malin (OSGM02)', '0.00 km²']
您可以尝试
my_list = [item for item in my_list if not item.endswith(" km²")]
摆脱以" km²"
结尾的元素
更新
如果要从元素中删除" km²"
部分,请尝试:
my_list = [item.rstrip(" km²") for item in my_list]
您的情况可能是
contentCells = [cell.text.rstrip(" km²") for cell in row.find_all("td") if cell.text.strip()]
答案 1 :(得分:0)
您要删除de Km2字符串但保留值?在这种情况下,您应该:
# just before you append the row
contentCells[5] = re.sub("[^0-9.,]", "", contentCells[5])
content.append(contentCells)
或者如果您想跳过该列:
# remove column before add the row
del contentCells[5]
# or filter
filterList = {"km²"} # create a set with all words
for table in soup.find_all("table")[5::]:
for row in table.find_all("tr"):
contentCells = []
for cells in row.find_all("td"):
# create a new set with the cells text,
# and intersect with the filter set, if the cell doesn't
# contains any filtered text word, it will return an empty set
if not set(cells.text.split()).intersection(filterList):
contentCells.append(cells.text)
content.append(contentCells)
答案 2 :(得分:0)
谢谢大家,我已经通过以下方法解决了问题
filtter = ['km²']
for table in soup.find_all("table")[5::]:
for row in table.find_all("tr"):
contentCells = []
for cells in row.find_all("td"):
contentCells.append(cells.get_text())
content.append(contentCells)
for idx, v in enumerate(content):
for t in filtter:
content[idx] = [i.replace(t, '') for i in content[idx]]
#.append(timerecorded)
print(content)