我是Great Expectations包的新手。我找到了这个教程，用于连接到数据源，验证数据并将输出可视化为数据文档，该文档保存为html。https://docs.greatexpectations.io/docs/tutorials/getting_started/tutorial_setup
但是我无法运行教程中使用的CLI命令。有没有办法从内存中的panda Dataframe 上运行的一系列预期结果中生成上面教程中看到的数据文档？
本文介绍了如何在读入的panda Dataframe 上执行期望结果，并为每个期望输出一个结果字典，但是它没有解释如何获取结果并将其转换为数据docs. https://towardsdatascience.com/a-great-python-library-great-expectations-6ac6d6fe822e

Minimal Reproducible Example
Python==3.8.15
Packages: 
great-expectations==0.15.41
pandas==1.5.2

import pandas as pd
import great_expectations as gx

# simple dataframe
df = pd.DataFrame({'A': [1, 2, 3, 4, 5],
                   'B': ['a','b','c','d','e']})

# Turn into GX dataframe
df = gx.from_pandas(df)

df.head()
 [enter image description here](https://i.stack.imgur.com/5IC9R.png)

gx_result = df.expect_column_to_exist("A")

print(gx_result)
 [enter image description here](https://i.stack.imgur.com/yF3tS.png)

# Code to convert expectation result into data doc

I have also found this piece of documentation that refers to creating a data doc, but am unsure how to connect it with the code above. https://docs.greatexpectations.io/docs/terms/data_docs/ 

Thanks in advance