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Jan 8, 2020 Replied to a topic by westvleteren › macOS › 大佬们对负基础入门 Python 的使用环境有无建议？？直接 pycharm 安装即用还是把 vs code 摸清楚 |
你可以用 ipython，别去用 idle
Jan 3, 2020 Replied to a topic by liuzhaowei55 › 程序员 › 买不到返程票，只能把回去的票也退了。 |
@HankAviator 我们十天
Dec 24, 2019 Replied to a topic by litp › Python › Python Web 开发， PyCharm 还是 VScode 或者其他？ macOS 平台 |
PyCharm
Dec 18, 2019 Replied to a topic by magiclobster › 程序员 › D 大的都用什么软件来记录工作进度啊 |
我就随便用用 agenda
Dec 11, 2019 Replied to a topic by pin621 › 程序员 › 英语好，对编码真的很重要吗？ |
非常重要，要知道，最令人头疼的问题就是给各种东西命名呢
Sep 17, 2019 Replied to a topic by dp2px › 程序员 › 你们认为智能垃圾回收系统的必要性在哪里？ |
一开始点进来以为是讲 GC 的
Aug 29, 2019 Replied to a topic by 1762628386 › 分享创造 › 为什么说我抛弃了 “单词开头大写” 式的命名规则，转向了 "单词下划线分割命名" |
今年是 2019 年
Aug 15, 2019 Replied to a topic by zky001 › Python › pandas 处理数据慢，求好方法 |
@zky001 大概是这个样子吧，很久没写了
```python
import pandas as pd
from pandas import DataFrame as df
categories = {1:'aa', 2:'bb', 3:'cc', 4:'dd', 5:'ee'}
data = df({'catIds':['1,2,3','2,3,4','3,4,5']})
def process_data(catIds):
ids = catIds.split(',')
cats = [categories.get(int(catId), None) for catId in ids]
return cats
cats = list(map(process_data, data['catIds']))
data[['cat1','cat2','cat3']] = df(cats, index=data.index)
```
```python
import pandas as pd
from pandas import DataFrame as df
categories = {1:'aa', 2:'bb', 3:'cc', 4:'dd', 5:'ee'}
data = df({'catIds':['1,2,3','2,3,4','3,4,5']})
def process_data(catIds):
ids = catIds.split(',')
cats = [categories.get(int(catId), None) for catId in ids]
return cats
cats = list(map(process_data, data['catIds']))
data[['cat1','cat2','cat3']] = df(cats, index=data.index)
```
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