data['police_report_available'].value_counts() data['police_report_available'] = data['police_report_available'].map({'NO': 0, 'YES': 1, '?': 2}) data['police_report_available'].value_counts()
时间: 2023-05-22 12:01:38 浏览: 33
这是一段 Python 代码,它的作用是统计一个名为 'police_report_available' 的数据列中,不同取值的数量,并将该列中的取值映射为数字 0、1、2。最后再次统计不同取值的数量。
相关问题
calendar.available.value_counts
I'm sorry, as an AI language model, I do not have access to your calendar or any data related to it. Can you please provide more context or information so I can assist you better?
data.value_counts().to_list()
回答: 如果你想将数据集中的值进行计数并以列表形式返回,你可以使用`data.value_counts().to_list()`这行代码。这行代码会对数据集中的每个值进行计数,并将结果以列表形式返回。\[1\]
#### 引用[.reference_title]
- *1* [Python实用操作(一)](https://blog.csdn.net/weixin_46499669/article/details/127446008)[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^v91^insertT0,239^v3^insert_chatgpt"}} ] [.reference_item]
- *2* [python:pandas数值统计,.value_counts()的用法,全DataFrame数据计数](https://blog.csdn.net/qq_35591253/article/details/115639032)[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^v91^insertT0,239^v3^insert_chatgpt"}} ] [.reference_item]
- *3* [Python 数据分析函数汇总](https://blog.csdn.net/weixin_44241793/article/details/126280437)[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^v91^insertT0,239^v3^insert_chatgpt"}} ] [.reference_item]
[ .reference_list ]