向 pandas DataFrame添加元信息/元数据 [英] Adding meta-information/metadata to pandas DataFrame

问题描述

是否可以向熊猫DataFrame添加一些元信息/元数据?

Is it possible to add some meta-information/metadata to a pandas DataFrame?

例如，用于测量数据的仪器名称，负责的仪器等.

For example, the instrument's name used to measure the data, the instrument responsible, etc.

一种解决方法是用该信息创建一列，但是在每一行中存储一条信息似乎很浪费！

推荐答案

当然，与大多数Python对象一样，您可以将新属性附加到pandas.DataFrame:

Sure, like most Python objects, you can attach new attributes to a pandas.DataFrame:

import pandas as pd
df = pd.DataFrame([])
df.instrument_name = 'Binky'

但是，请注意，虽然您可以将属性附加到DataFrame，但是在DataFrame上执行的操作(例如groupby，pivot，join或loc等)可能会返回一个新值. DataFrame 没有附加的元数据. Pandas还没有一种可靠的传播 连接到DataFrames的元数据 a>.

Note, however, that while you can attach attributes to a DataFrame, operations performed on the DataFrame (such as groupby, pivot, join or loc to name just a few) may return a new DataFrame without the metadata attached. Pandas does not yet have a robust method of propagating metadata attached to DataFrames.

可以将元数据保存在文件中.您可以在此处找到有关如何将元数据存储在HDF5文件中的示例.

Preserving the metadata in a file is possible. You can find an example of how to store metadata in an HDF5 file here.

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