ValueError：基于位置的索引只能有 [标签必须在索引中，标签切片包括两个端点！可以是整数切片

如何解决ValueError：基于位置的索引只能有 [标签必须在索引中，标签切片包括两个端点！可以是整数切片

整个错误读取-

ValueError：基于位置的索引只能有 [标签（必须在 索引），标签切片（包括两个端点！可以是切片 如果索引是整数，则为整数），标签列表，布尔值] 类型

要重现错误，只需粘贴并运行此文件（36MB 文件，可能需要几秒钟）-

import pandas as pd
df = pd.read_csv('https://raw.githubusercontent.com/vyaduvanshi/helper-files/master/error_df.csv') #36MB file

temp_total_tests = []
temp_total_recovered = []
temp_total_cases = []
temp_total_vaccinations = []
temp_total_deaths = []
temp_variables = [temp_total_tests,temp_total_recovered,temp_total_cases,temp_total_vaccinations,temp_total_deaths]

for country in df['country'].unique():
    temp_df = df[df['country'] == country]
    [(temp_variable.append(temp_df.loc[:,temp_variable].ffill())) for temp_variable in temp_variables]
    
df['total_tests'] = pd.concat(temp_variables[0],ignore_index=True)
df['total_recovered'] = pd.concat(temp_variables[1],ignore_index=True)
df['total_cases'] = pd.concat(temp_variables[2],ignore_index=True)
df['total_vaccinations'] = pd.concat(temp_variables[3],ignore_index=True)
df['total_deaths'] = pd.concat(temp_variables[4],ignore_index=True)

我想要做的事情可以用这段代码（下面）来实现，但是这里有很多重复，所以我尝试了上面的列表理解。

for country in df['country'].unique():
    temp_df = df[df['country'] == country]
    temp_df.loc[:,'total_tests'] = temp_df.loc[:,'total_tests'].ffill()
    temp_total_tests.append(temp_df['total_tests'])
    temp_df.loc[:,'total_recovered'] = temp_df.loc[:,'total_recovered'].ffill()
    temp_total_recovered.append(temp_df['total_recovered'])
    temp_df.loc[:,'total_cases'] = temp_df.loc[:,'total_cases'].ffill()
    temp_total_cases.append(temp_df['total_cases'])
    temp_df.loc[:,'total_vaccinations'] = temp_df.loc[:,'total_vaccinations'].ffill()
    temp_total_vaccinations.append(temp_df['total_vaccinations'])
    temp_df.loc[:,'total_deaths'] = temp_df.loc[:,'total_deaths'].ffill()
    temp_total_deaths.append(temp_df['total_deaths'])

df['total_tests'] = pd.concat(temp_total_tests,ignore_index=True)
df['total_recovered'] = pd.concat(temp_total_recovered,ignore_index=True)
df['total_cases'] = pd.concat(temp_total_cases,ignore_index=True)
df['total_vaccinations'] = pd.concat(temp_total_vaccinations,ignore_index=True)
df['total_deaths'] = pd.concat(temp_total_deaths,ignore_index=True)