尝试在 Python 中扩展列表时出现类型错误

2023-09-27Python开发问题
6

本文介绍了尝试在 Python 中扩展列表时出现类型错误的处理方法,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

我需要明白为什么:

years = range(2010,2016)
years.append(0)

是可能的,返回:

[2010,2011,2012,2013,2014,2015,0]

years = range(2010,2016).append(0)

years = [0].extend(range(2010,2016))

不工作?

我知道这是我收到的消息中的类型错误.但我想在这背后有更多的解释.

I understand that it is a type error from the message I got. But I'd like to have a bit more explanations behind that.

推荐答案

你正在存储 list.append()list.extend() 方法的结果;两者都更改列表就地并返回None.他们确实不会再次返回列表对象.

You are storing the result of the list.append() or list.extend() method; both alter the list in place and return None. They do not return the list object again.

不存储 None 结果;存储 range() 结果,then 扩展或追加.或者,使用串联:

Do not store the None result; store the range() result, then extend or append. Alternatively, use concatenation:

years = range(2010, 2016) + [0]
years = [0] + range(2010, 2016)

请注意,我假设您使用的是 Python 2(否则您的第一个示例将无法正常工作).在 Python 3 中 range() 不会产生列表;您必须使用 list() 函数将其转换为一个:

Note that I'm assuming you are using Python 2 (your first example would not work otherwise). In Python 3 range() doesn't produce a list; you'd have to use the list() function to convert it to one:

years = list(range(2010, 2016)) + [0]
years = [0] + list(range(2010, 2016))

这篇关于尝试在 Python 中扩展列表时出现类型错误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!

The End

相关推荐

在xarray中按单个维度的多个坐标分组
groupby multiple coords along a single dimension in xarray(在xarray中按单个维度的多个坐标分组)...
2024-08-22 Python开发问题
15

Pandas中的GROUP BY AND SUM不丢失列
Group by and Sum in Pandas without losing columns(Pandas中的GROUP BY AND SUM不丢失列)...
2024-08-22 Python开发问题
17

pandas 有从特定日期开始的按月分组的方式吗?
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?)...
2024-08-22 Python开发问题
10

GROUP BY+新列+基于条件的前一行抓取值
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)...
2024-08-22 Python开发问题
18

PANDA中的Groupby算法和插值算法
Groupby and interpolate in Pandas(PANDA中的Groupby算法和插值算法)...
2024-08-22 Python开发问题
11

PANAS-基于列对行进行分组,并将NaN替换为非空值
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)...
2024-08-22 Python开发问题
10