将我自己的描述属性添加到Pandas DataFrame [英] Adding my own description attribute to a Pandas DataFrame

问题描述

我正在检索一些Web数据，将其解析，并将输出作为Pandas DataFrame存储到HDF5文件中。在将 DataFrame 写入H5文件之前，我添加了自己的描述字符串，以注释一些元数据，说明数据来自何处以及在解析数据时是否出错。 / p>

I am retrieving some web data, parsing it, and storing the output as a Pandas DataFrame into an HDF5 file. Right before I write the DataFrame into the H5 file, I add my own description string to annotate some metadata about where the data came from and whether anything went wrong while parsing it.

In [1]: my_data_frame.desc = "Some string about the data"

In [2]: my_data_frame.desc

Out[1]: "Some string about the data"

In [3]: print type(my_data_frame)
<class 'pandas.core.frame.DataFrame'>

但是，在使用 pandas.io.pytables.HDFStore加载相同的数据之后（），我添加的 desc 属性丢失，并且出现错误： AttributeError：'DataFrame'对象没有属性'desc'，好像我从未添加过此新属性一样。

However, after loading the same data with pandas.io.pytables.HDFStore(), my added desc attribute is missing and I get the error: AttributeError: 'DataFrame' object has no attribute 'desc' as if I had never added this new attribute.

如何获取元数据描述作为DataFrame对象？ （或者是否存在一些现有的，公认的DataFrame属性，我可以为我的元数据目的劫持该属性？）

How can I get my metadata descriptions to persist as an extra attribute of the DataFrame object? (Or is there some existing, recognized attribute of a DataFrame that I can hijack for my metadata purposes?)

推荐答案

添加DataFrame元数据或按列的元数据已列入路线图，但尚未实施。不过，我对API的外观持开放态度。

Adding DataFrame metadata or per-column metadata is on the roadmap but hasn't been implemented yet. I'm open to ideas about what the API should look like, though.

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