如何在 Python 中使用 sum() 函数作为列表?

How can I use sum() function for a list in Python?(如何在 Python 中使用 sum() 函数作为列表?)
本文介绍了如何在 Python 中使用 sum() 函数作为列表?的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着跟版网的小编来一起学习吧!

问题描述

我正在做作业,它要求我使用 sum() 和 len() 函数来查找输入数字列表的平均值,当我尝试使用 sum() 来获取列表的总和时,我收到错误类型错误:+ 的不支持的操作数类型:'int' 和 'str'.以下是我的代码:

I am doing my homework and it requirers me to use a sum () and len () functions to find the mean of an input number list, when I tried to use sum () to get the sum of the list, I got an error TypeError: unsupported operand type(s) for +: 'int' and 'str'. Following is my code:

numlist = input("Enter a list of number separated by commas: ")

numlist = numlist.split(",")

s = sum(numlist)
l = len(numlist)
m = float(s/l)
print("mean:",m)

推荐答案

问题是当你从输入中读取时,你有一个字符串列表.你可以做这样的事情作为你的第二行:

The problem is that when you read from the input, you have a list of strings. You could do something like that as your second line:

numlist = [float(x) for x in numlist]

这篇关于如何在 Python 中使用 sum() 函数作为列表?的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持跟版网!

本站部分内容来源互联网,如果有图片或者内容侵犯了您的权益,请联系我们,我们会在确认后第一时间进行删除!

相关文档推荐

groupby multiple coords along a single dimension in xarray(在xarray中按单个维度的多个坐标分组)
Group by and Sum in Pandas without losing columns(Pandas中的GROUP BY AND SUM不丢失列)
Group by + New Column + Grab value former row based on conditionals(GROUP BY+新列+基于条件的前一行抓取值)
Groupby and interpolate in Pandas(PANDA中的Groupby算法和插值算法)
Pandas - Group Rows based on a column and replace NaN with non-null values(PANAS-基于列对行进行分组,并将NaN替换为非空值)
Grouping pandas DataFrame by 10 minute intervals(按10分钟间隔对 pandas 数据帧进行分组)