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