熊猫如果/真理陈述值错误

Question

我想比较2值的结果，但我不知道这里发生了什么。

# Read items into Dataframe and count the number of rows there is. 
df_csv = pandas.read_csv('dataset.csv', index_col=False, header=None) 
print(len(df_csv.index)) 

# Creating Session to count the number of rows there are in the SQL file 
Session = sessionmaker(bind=engine) 
session = Session() 
# Getting count 
meta = MetaData() 
table_to_count = Table('Database count details', meta, autoload=True, 
         autoload_with=engine) 
df_sql = session.query(func.count(table_to_count)).scalar() 
print(df_sql) 

# Perform logic test 
if df_csv <= df_sql: 
print("sql is less than csv") 

elif df_csv >= df_sql: 
print("CSV is current with sql") 

不过，我得到的错误是ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().

我提到了一些计算器其他问题，但我仍然没能解决这个问题。你怎么看？

编辑

print(len(df_csv.index))将返回值3984。

print(df_sql)将返回3982

所以我想这些2个数字进行比较。

Answer 1

您必须添加len：

if len(df_csv) <= df_sql: 
    print("sql is less than csv") 
elif len(df_csv) >= df_sql: 
    print("CSV is current with sql") 

但我认为你需要：

if len(df_csv) > df_sql: 
    print("sql is less than csv") 
elif len(df_csv) == df_sql: 
    print("CSV is current with sql")