python skew函数

在Python中，可以使用Scipy库中的skew()函数来求列表的偏度系数。偏度系数是衡量数据分布偏斜程度的指标，可以用来判断数据的非对称性。可以通过导入Scipy库中的skew()函数，并传入数据列表作为参数来计算偏度系数。示例代码如下：

from scipy.stats import skew
import numpy as np

data = [1, 2, 3, 4, 5, 6]
skewness = skew(data)
print(skewness)

运行以上代码，会输出列表数据的偏度系数。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* [python求列表的偏度系数](https://blog.csdn.net/weixin_42576804/article/details/129615417)[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^v93^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
- *2* *3* [Python主要数据探索函数](https://blog.csdn.net/weixin_65259109/article/details/129475690)[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^v93^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
[ .reference_list ]