python dataframe两列相减
时间: 2023-09-17 18:14:51 浏览: 203
python中dataframe将一列中的数值拆分成多个列
5星 · 资源好评率100%
要在Python中使用DataFrame进行两列的相减操作,可以使用以下代码示例:
```
import pandas as pd
# 创建一个示例DataFrame
df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6})
# 使用列名进行相减操作
df['C'] = df['A'] - df['B']
# 打印结果
print(df)
```
这段代码中,首先创建了一个示例的DataFrame,其中包含两列'A'和'B'。接着,使用列名进行相减操作,将相减的结果存储在新的列'C'中。最后,通过打印DataFrame来查看结果。这样就完成了DataFrame两列的相减操作。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* [pandas中DataFrame中两列日期相减,并去除单位days,及timedelta64理解](https://blog.csdn.net/xiaoleng_o/article/details/103118279)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v92^chatsearchT0_1"}}] [.reference_item style="max-width: 33.333333333333336%"]
- *2* [在dataframe两列日期相减并且得到具体的月数实例](https://download.csdn.net/download/weixin_38674223/14859839)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v92^chatsearchT0_1"}}] [.reference_item style="max-width: 33.333333333333336%"]
- *3* [用Python实现对表格中某一列所有数据加减乘除](https://blog.csdn.net/m0_57656758/article/details/127928905)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v92^chatsearchT0_1"}}] [.reference_item style="max-width: 33.333333333333336%"]
[ .reference_list ]
阅读全文