Question

我希望我的选择3能够解决。我想将4月，5月，6月的总和与每个账户的总和进行比较。（列的总和与轴的总和比较）我不断得到系列长度必须匹配才能比较

import pandas as pd

if __name__ == "__main__":   
    file_name = "sales_rossetti.xlsx"    

# Formatting numbers (e.g. $1,000,000)
pd.options.display.float_format = '${:,.0f}'.format

# Reading Excel file
df = pd.read_excel(file_name, index_col = 0, convert_float = False)
print ("Welcome to Rossetti's Sales program\n")  
print ("1) Search by State")
print ("2) Search by Jan Sales")
print ("3) Search by Q2 sales")
print ("4) Exit")

my_option = input ("Please select a menu option:")


if (my_option=="3"):
    my_columns = ["Apr","May","Jun"] 
    all_columns = ["Jan","Feb","Mar","Apr","May","Jun","Jul","Aug","Sep","Oct","Nov","Dec"]
    your_sales = input ("Please enter your minimum sale: ")
    print (df[my_columns].sum()<df[all_columns].sum(axis=1, skipna=None, level=None, numeric_only=True))'

错误讯息是：“ 文件“C：\ Users \ jay \ Anaconda3 \ lib \ site-packages \ pandas \ core \ ops.py”，第735行，在包装器中提高ValueError（'系列长度必须匹配才能比较'）

ValueError：系列长度必须匹配才能比较“

Answer 1

如果您打印出df[my_columns].sum()和df[all_columns].sum(axis=1, skipna=None, level=None, numeric_only=True)的结果，您可能可以自行调试。

我的猜测是因为你对skipna有不同的值，所以第一个系列已经删除了一些行，所以你无法直接比较它们。

我想比较我的Q2总和与所有个人账户的总和

1 个答案: