AttributeError: 'int' object has no attribute 'split' pandas
AttributeError: 'int' object has no attribute 'split' pandas
拜托，我知道有几个问题与我的这个错误有关，但我正在学习，我几乎什么都不懂，所以如果不是要求太多，请帮我修复这段代码。
我完全是门外汉，很难学。很抱歉重复同样的问题，但我需要帮助，我一直在尝试解决一些应该非常简单但对我来说很复杂的问题。
错误：
Traceback (most recent call last):
File "d:\Mir4\RankMir4-TesteRank\RankMir4-TesteRank\RankCla.py", line 73, in <module>
membro['Ranking'] = membro['Ranking'].split(' ')
AttributeError: 'int' object has no attribute 'split'
PS D:\Mir4\RankMir4-TesteRank\RankMir4-TesteRank>
代码：
from __future__ import print_function
from msvcrt import LK_LOCK
import os.path
from google.auth.transport.requests import Request
from google.oauth2.credentials import Credentials
from google_auth_oauthlib.flow import InstalledAppFlow
from googleapiclient.discovery import build
from googleapiclient.errors import HttpError
import numpy as np
import datetime
import json
import time
import pandas as pd
from bs4 import BeautifulSoup
from prompt_toolkit import print_formatted_text
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.firefox.options import Options
data = np.empty_like
data = datetime.datetime.now()
data_atual = data.strftime('%d/%m/%Y')
hora_atual = data.strftime('%H:%M')
data = [f"Atualizado em {data_atual} às {hora_atual}h"]
data_atualizacao = np.array([data]).tolist()
configs = pd.read_json('configs.json').to_dict('records')
for config in configs:
cla = np.array(config['clan'])
mundo = str(config['mundo'])
grupo_mundo = str(config['grupo_mundo'])
planilha_id = str(config['planilha_id'])
range_titulo = str(config['range_titulo'])
range_planilha = str(config['range_planilha'])
atualizado_em = str(config['atualizado_em'])
url = f"https://forum.mir4global.com/rank?ranktype=1&worldgroupid={grupo_mundo}&worldid={mundo}"
multi_cla = np.empty((0, 1), int)
for array_cla in cla:
multi_cla = np.append(multi_cla, np.array([[array_cla]]), axis=0).tolist()
option = Options()
option.headless = True
driver = webdriver.Firefox()
driver.get(url)
time.sleep(5)
for i in range(9):
driver.find_element(by=By.CLASS_NAME, value='btn_flat').click()
time.sleep(2)
html_conteudo = driver.find_elements(
by=By.CLASS_NAME,
value="rank_section"
)[2].get_attribute("innerHTML")
soup = BeautifulSoup(html_conteudo, 'html.parser')
tabela = soup.find(name='table')
tabela_completa = pd.read_html(str(tabela))[0]
info_tabela = {}
info_tabela = tabela_completa.to_dict('records')
teste = []
membro_clan = []
clan_ = []
linha_array = np.empty((0, 5), int)
rank_cla = 1
for membro in info_tabela:
for cla_ in cla:
if membro['Clan'] == cla_:
membro['Ranking'] = membro['Ranking'].split(' ')
membro['Ranking'] = membro['Ranking'][0]
teste.append(membro)
linha_array = np.append(linha_array,
np.array([
[
rank_cla,
membro['Ranking'],
membro['Character'],
membro['Clan'],
membro['Power Score']
]]), axis=0
).tolist()
rank_cla = rank_cla+1
js = json.dumps(linha_array)
fp = open('membros.json', 'w')
fp.write(js)
fp.close
driver.quit
'''
当 运行 脚本时，它会打开 FireFox (selenium) 选项卡并开始检查排行榜，其格式如图所示：
在 html 中收集排名、角色、氏族和力量分数。
如果一切顺利，结果将保存在“membros.json”中 ex:
[["1", "57", "RxSadClown", "V\u00ebnd\u00ebtt\u00e4", "134563"], ["2", "59", "Platina \u9053", "V\u00ebnd\u00ebtt\u00e4", "134173"], ["3", "61", "AzetavZ", "V\u00ebnd\u00ebtt\u00e4", "133992"], ["4", "68", "ChunDaLi", "V\u00ebnd\u00ebtt\u00e4", "133393"], ["5", "78", "Amy White", "V\u00ebnd\u00ebtt\u00e4", "132402"], ["6", "79", "SucoDeLimao", "V\u00ebnd\u00ebtt\u00e4", "132089"], ["7", "80", "Wyzeman", "V\u00ebnd\u00ebtt\u00e4", "132007"], ["8", "86", "CElFADORA", "V\u00ebnd\u00ebtt\u00e4", "130944"], ["9", "92", "yEr\u01a1m", "V\u00ebnd\u00ebtt\u00e4", "129898"], ["10", "93", "Dracar\u00ffs", "V\u00ebnd\u00ebtt\u00e4", "129430"], ["11", "95", "ItzTibiano", "V\u00ebnd\u00ebtt\u00e4", "129227"], ["12", "115", "GabrielPQDx", "V\u00ebnd\u00ebtt\u00e4", "126791"], ["13", "117", "RSworda", "V\u00ebnd\u00ebtt\u00e4", "126374"], ["14", "135", "Rixiaa", "V\u00ebnd\u00ebtt\u00e4", "124004"], ["15", "137", "gabrielgsds", "V\u00ebnd\u00ebtt\u00e4", "123970"], ["16", "147", "uconadibmal", "V\u00ebnd\u00ebtt\u00e4", "122699"], ["17", "169", "Kaloa", "V\u00ebnd\u00ebtt\u00e4", "120239"], ["18", "196", "Direitamito", "V\u00ebnd\u00ebtt\u00e4", "116512"], ["19", "202", "savilho", "V\u00ebnd\u00ebtt\u00e4", "116036"], ["20", "207", "\u00d1a\u00f1i", "V\u00ebnd\u00ebtt\u00e4", "115831"], ["21", "217", "paidapipoca", "V\u00ebnd\u00ebtt\u00e4", "115125"], ["22", "223", "Bellumbeck", "V\u00ebnd\u00ebtt\u00e4", "114809"], ["23", "232", "czhardzinho", "V\u00ebnd\u00ebtt\u00e4", "114018"], ["24", "254", "lucasdopao", "V\u00ebnd\u00ebtt\u00e4", "113123"], ["25", "262", "Pilxd", "V\u00ebnd\u00ebtt\u00e4", "112660"], ["26", "274", "Descolamento", "V\u00ebnd\u00ebtt\u00e4", "111827"], ["27", "282", "Jacar\u00e9 OLD", "V\u00ebnd\u00ebtt\u00e4", "111447"], ["28", "286", "MariaNavalha", "V\u00ebnd\u00ebtt\u00e4", "111243"], ["29", "300", "RellxionPQDx", "V\u00ebnd\u00ebtt\u00e4", "110274"], ["30", "309", "topdog11", "V\u00ebnd\u00ebtt\u00e4", "109811"], ["31", "310", "Carcass77", "V\u00ebnd\u00ebtt\u00e4", "109794"], ["32", "315", "Kakaroto7", "V\u00ebnd\u00ebtt\u00e4", "109512"], ["33", "330", "YellowIsa", "V\u00ebnd\u00ebtt\u00e4", "108387"], ["34", "337", "BMGaming14", "V\u00ebnd\u00ebtt\u00e4", "107893"], ["35", "342", "LeozinDx", "V\u00ebnd\u00ebtt\u00e4", "107685"], ["36", "361", "shipudenpqd", "V\u00ebnd\u00ebtt\u00e4", "106960"], ["37", "374", "Drawsinger", "V\u00ebnd\u00ebtt\u00e4", "106458"], ["38", "379", "KpetinhaS2", "V\u00ebnd\u00ebtt\u00e4", "106249"], ["39", "381", "Venush", "V\u00ebnd\u00ebtt\u00e4", "106075"], ["40", "392", "Bob Lanceiro", "V\u00ebnd\u00ebtt\u00e4", "105577"], ["41", "403", "Oscar R", "V\u00ebnd\u00ebtt\u00e4", "105284"], ["42", "416", "Pame", "V\u00ebnd\u00ebtt\u00e4", "104863"], ["43", "423", "Marph", "V\u00ebnd\u00ebtt\u00e4", "104662"], ["44", "428", "Lady\u00a0Loira", "V\u00ebnd\u00ebtt\u00e4", "104511"], ["45", "452", "Sirohh", "V\u00ebnd\u00ebtt\u00e4", "103382"], ["46", "479", "isabelebr", "V\u00ebnd\u00ebtt\u00e4", "102301"], ["47", "531", "lSABELLY", "V\u00ebnd\u00ebtt\u00e4", "100301"], ["48", "580", "GRETTINHA", "V\u00ebnd\u00ebtt\u00e4", "98260"], ["49", "583", "Thundoxa", "V\u00ebnd\u00ebtt\u00e4", "98180"]]
收集和处理后，数据将通过 api 使用以下代码的凭据插入到 google 工作表中：
def main():
SCOPES = ['https://www.googleapis.com/auth/spreadsheets']
creds = None
if os.path.exists('token.json'):
creds = Credentials.from_authorized_user_file('token.json', SCOPES)
if not creds or not creds.valid:
if creds and creds.expired and creds.refresh_token:
creds.refresh(Request())
else:
flow = InstalledAppFlow.from_client_secrets_file(
'client_secret.json', SCOPES)
creds = flow.run_local_server(port=0)
with open('token.json', 'w') as token:
token.write(creds.to_json())
try:
service = build('sheets', 'v4', credentials=creds)
sheet = service.spreadsheets()
sheet.values().clear(
spreadsheetId=planilha_id,
range='Ranking!A4:E150',
body={}
).execute()
sheet.values().clear(
spreadsheetId=planilha_id,
range='Ranking!G5:G9',
body={}
).execute()
sheet.values().update(
spreadsheetId=planilha_id,
range=range_titulo,
valueInputOption="USER_ENTERED",
body={"values": multi_cla}
).execute()
sheet.values().update(
spreadsheetId=planilha_id,
range='Ranking!A4',
valueInputOption="USER_ENTERED",
body={"values": linha_array}
).execute()
sheet.values().update(
spreadsheetId=planilha_id,
range=atualizado_em,
valueInputOption="USER_ENTERED",
body={"values": data_atualizacao}
).execute()
except HttpError as err:
print(err)
if __name__ == '__main__':
main()
问题是第一个错误没有过去，我不知道是否还有更多。
问题是由 tabela_completa = pd.read_html(str(tabela))[0] 行中的 pandas 自动从字符串转换为整数引起的。这就是错误消息告诉您它不能对整数使用 .split 的原因。
由于评论中描述了其他问题，因此最好 post 一个新问题，该问题仅针对导致新问题的代码。
拜托，我知道有几个问题与我的这个错误有关，但我正在学习，我几乎什么都不懂，所以如果不是要求太多，请帮我修复这段代码。
我完全是门外汉，很难学。很抱歉重复同样的问题，但我需要帮助，我一直在尝试解决一些应该非常简单但对我来说很复杂的问题。
错误：
Traceback (most recent call last):
File "d:\Mir4\RankMir4-TesteRank\RankMir4-TesteRank\RankCla.py", line 73, in <module>
membro['Ranking'] = membro['Ranking'].split(' ')
AttributeError: 'int' object has no attribute 'split'
PS D:\Mir4\RankMir4-TesteRank\RankMir4-TesteRank>
代码：
from __future__ import print_function
from msvcrt import LK_LOCK
import os.path
from google.auth.transport.requests import Request
from google.oauth2.credentials import Credentials
from google_auth_oauthlib.flow import InstalledAppFlow
from googleapiclient.discovery import build
from googleapiclient.errors import HttpError
import numpy as np
import datetime
import json
import time
import pandas as pd
from bs4 import BeautifulSoup
from prompt_toolkit import print_formatted_text
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.firefox.options import Options
data = np.empty_like
data = datetime.datetime.now()
data_atual = data.strftime('%d/%m/%Y')
hora_atual = data.strftime('%H:%M')
data = [f"Atualizado em {data_atual} às {hora_atual}h"]
data_atualizacao = np.array([data]).tolist()
configs = pd.read_json('configs.json').to_dict('records')
for config in configs:
cla = np.array(config['clan'])
mundo = str(config['mundo'])
grupo_mundo = str(config['grupo_mundo'])
planilha_id = str(config['planilha_id'])
range_titulo = str(config['range_titulo'])
range_planilha = str(config['range_planilha'])
atualizado_em = str(config['atualizado_em'])
url = f"https://forum.mir4global.com/rank?ranktype=1&worldgroupid={grupo_mundo}&worldid={mundo}"
multi_cla = np.empty((0, 1), int)
for array_cla in cla:
multi_cla = np.append(multi_cla, np.array([[array_cla]]), axis=0).tolist()
option = Options()
option.headless = True
driver = webdriver.Firefox()
driver.get(url)
time.sleep(5)
for i in range(9):
driver.find_element(by=By.CLASS_NAME, value='btn_flat').click()
time.sleep(2)
html_conteudo = driver.find_elements(
by=By.CLASS_NAME,
value="rank_section"
)[2].get_attribute("innerHTML")
soup = BeautifulSoup(html_conteudo, 'html.parser')
tabela = soup.find(name='table')
tabela_completa = pd.read_html(str(tabela))[0]
info_tabela = {}
info_tabela = tabela_completa.to_dict('records')
teste = []
membro_clan = []
clan_ = []
linha_array = np.empty((0, 5), int)
rank_cla = 1
for membro in info_tabela:
for cla_ in cla:
if membro['Clan'] == cla_:
membro['Ranking'] = membro['Ranking'].split(' ')
membro['Ranking'] = membro['Ranking'][0]
teste.append(membro)
linha_array = np.append(linha_array,
np.array([
[
rank_cla,
membro['Ranking'],
membro['Character'],
membro['Clan'],
membro['Power Score']
]]), axis=0
).tolist()
rank_cla = rank_cla+1
js = json.dumps(linha_array)
fp = open('membros.json', 'w')
fp.write(js)
fp.close
driver.quit
'''
当 运行 脚本时，它会打开 FireFox (selenium) 选项卡并开始检查排行榜，其格式如图所示：
在 html 中收集排名、角色、氏族和力量分数。
如果一切顺利，结果将保存在“membros.json”中 ex:
[["1", "57", "RxSadClown", "V\u00ebnd\u00ebtt\u00e4", "134563"], ["2", "59", "Platina \u9053", "V\u00ebnd\u00ebtt\u00e4", "134173"], ["3", "61", "AzetavZ", "V\u00ebnd\u00ebtt\u00e4", "133992"], ["4", "68", "ChunDaLi", "V\u00ebnd\u00ebtt\u00e4", "133393"], ["5", "78", "Amy White", "V\u00ebnd\u00ebtt\u00e4", "132402"], ["6", "79", "SucoDeLimao", "V\u00ebnd\u00ebtt\u00e4", "132089"], ["7", "80", "Wyzeman", "V\u00ebnd\u00ebtt\u00e4", "132007"], ["8", "86", "CElFADORA", "V\u00ebnd\u00ebtt\u00e4", "130944"], ["9", "92", "yEr\u01a1m", "V\u00ebnd\u00ebtt\u00e4", "129898"], ["10", "93", "Dracar\u00ffs", "V\u00ebnd\u00ebtt\u00e4", "129430"], ["11", "95", "ItzTibiano", "V\u00ebnd\u00ebtt\u00e4", "129227"], ["12", "115", "GabrielPQDx", "V\u00ebnd\u00ebtt\u00e4", "126791"], ["13", "117", "RSworda", "V\u00ebnd\u00ebtt\u00e4", "126374"], ["14", "135", "Rixiaa", "V\u00ebnd\u00ebtt\u00e4", "124004"], ["15", "137", "gabrielgsds", "V\u00ebnd\u00ebtt\u00e4", "123970"], ["16", "147", "uconadibmal", "V\u00ebnd\u00ebtt\u00e4", "122699"], ["17", "169", "Kaloa", "V\u00ebnd\u00ebtt\u00e4", "120239"], ["18", "196", "Direitamito", "V\u00ebnd\u00ebtt\u00e4", "116512"], ["19", "202", "savilho", "V\u00ebnd\u00ebtt\u00e4", "116036"], ["20", "207", "\u00d1a\u00f1i", "V\u00ebnd\u00ebtt\u00e4", "115831"], ["21", "217", "paidapipoca", "V\u00ebnd\u00ebtt\u00e4", "115125"], ["22", "223", "Bellumbeck", "V\u00ebnd\u00ebtt\u00e4", "114809"], ["23", "232", "czhardzinho", "V\u00ebnd\u00ebtt\u00e4", "114018"], ["24", "254", "lucasdopao", "V\u00ebnd\u00ebtt\u00e4", "113123"], ["25", "262", "Pilxd", "V\u00ebnd\u00ebtt\u00e4", "112660"], ["26", "274", "Descolamento", "V\u00ebnd\u00ebtt\u00e4", "111827"], ["27", "282", "Jacar\u00e9 OLD", "V\u00ebnd\u00ebtt\u00e4", "111447"], ["28", "286", "MariaNavalha", "V\u00ebnd\u00ebtt\u00e4", "111243"], ["29", "300", "RellxionPQDx", "V\u00ebnd\u00ebtt\u00e4", "110274"], ["30", "309", "topdog11", "V\u00ebnd\u00ebtt\u00e4", "109811"], ["31", "310", "Carcass77", "V\u00ebnd\u00ebtt\u00e4", "109794"], ["32", "315", "Kakaroto7", "V\u00ebnd\u00ebtt\u00e4", "109512"], ["33", "330", "YellowIsa", "V\u00ebnd\u00ebtt\u00e4", "108387"], ["34", "337", "BMGaming14", "V\u00ebnd\u00ebtt\u00e4", "107893"], ["35", "342", "LeozinDx", "V\u00ebnd\u00ebtt\u00e4", "107685"], ["36", "361", "shipudenpqd", "V\u00ebnd\u00ebtt\u00e4", "106960"], ["37", "374", "Drawsinger", "V\u00ebnd\u00ebtt\u00e4", "106458"], ["38", "379", "KpetinhaS2", "V\u00ebnd\u00ebtt\u00e4", "106249"], ["39", "381", "Venush", "V\u00ebnd\u00ebtt\u00e4", "106075"], ["40", "392", "Bob Lanceiro", "V\u00ebnd\u00ebtt\u00e4", "105577"], ["41", "403", "Oscar R", "V\u00ebnd\u00ebtt\u00e4", "105284"], ["42", "416", "Pame", "V\u00ebnd\u00ebtt\u00e4", "104863"], ["43", "423", "Marph", "V\u00ebnd\u00ebtt\u00e4", "104662"], ["44", "428", "Lady\u00a0Loira", "V\u00ebnd\u00ebtt\u00e4", "104511"], ["45", "452", "Sirohh", "V\u00ebnd\u00ebtt\u00e4", "103382"], ["46", "479", "isabelebr", "V\u00ebnd\u00ebtt\u00e4", "102301"], ["47", "531", "lSABELLY", "V\u00ebnd\u00ebtt\u00e4", "100301"], ["48", "580", "GRETTINHA", "V\u00ebnd\u00ebtt\u00e4", "98260"], ["49", "583", "Thundoxa", "V\u00ebnd\u00ebtt\u00e4", "98180"]]
收集和处理后，数据将通过 api 使用以下代码的凭据插入到 google 工作表中：
def main():
SCOPES = ['https://www.googleapis.com/auth/spreadsheets']
creds = None
if os.path.exists('token.json'):
creds = Credentials.from_authorized_user_file('token.json', SCOPES)
if not creds or not creds.valid:
if creds and creds.expired and creds.refresh_token:
creds.refresh(Request())
else:
flow = InstalledAppFlow.from_client_secrets_file(
'client_secret.json', SCOPES)
creds = flow.run_local_server(port=0)
with open('token.json', 'w') as token:
token.write(creds.to_json())
try:
service = build('sheets', 'v4', credentials=creds)
sheet = service.spreadsheets()
sheet.values().clear(
spreadsheetId=planilha_id,
range='Ranking!A4:E150',
body={}
).execute()
sheet.values().clear(
spreadsheetId=planilha_id,
range='Ranking!G5:G9',
body={}
).execute()
sheet.values().update(
spreadsheetId=planilha_id,
range=range_titulo,
valueInputOption="USER_ENTERED",
body={"values": multi_cla}
).execute()
sheet.values().update(
spreadsheetId=planilha_id,
range='Ranking!A4',
valueInputOption="USER_ENTERED",
body={"values": linha_array}
).execute()
sheet.values().update(
spreadsheetId=planilha_id,
range=atualizado_em,
valueInputOption="USER_ENTERED",
body={"values": data_atualizacao}
).execute()
except HttpError as err:
print(err)
if __name__ == '__main__':
main()
问题是第一个错误没有过去，我不知道是否还有更多。
问题是由 tabela_completa = pd.read_html(str(tabela))[0] 行中的 pandas 自动从字符串转换为整数引起的。这就是错误消息告诉您它不能对整数使用 .split 的原因。
由于评论中描述了其他问题，因此最好 post 一个新问题，该问题仅针对导致新问题的代码。