使用 Python 对包含“无"的列表求和

Sum a list which contains #39;None#39; using Python(使用 Python 对包含“无的列表求和)
本文介绍了使用 Python 对包含“无"的列表求和的处理方法,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

基本上我的问题是说您有一个包含无"的列表,您将如何尝试检索列表的总和.下面是一个我试过的例子,它不起作用,我得到了错误:TypeError: unsupported operand type(s) for +: 'int' and 'NoneType'.谢谢

Basically my question is say you have an list containing 'None' how would you try retrieving the sum of the list. Below is an example I tried which doesn't work and I get the error: TypeError: unsupported operand type(s) for +: 'int' and 'NoneType'. Thanks

def sumImport(self):
    my_list = [[1,2,3,None],[1,2,3],[1,1],[1,1,2,2]]
    k = sum(chain.from_iterable(my_list))
    return k

推荐答案

可以使用filter功能

>>> sum(filter(None, [1,2,3,None]))
6

根据评论更新

filter 的典型用法是 filter(func, iterable),但是将 None 作为第一个参数传递是一种特殊情况,在 Python 文档.引用:

Typically filter usage is filter(func, iterable), but passing None as first argument is a special case, described in Python docs. Quoting:

如果function为None,则假定恒等函数,即iterable中所有为false的元素都被移除.

If function is None, the identity function is assumed, that is, all elements of iterable that are false are removed.

这篇关于使用 Python 对包含“无"的列表求和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)
Is there a way of group by month in Pandas starting at specific day number?( pandas 有从特定日期开始的按月分组的方式吗?)
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)