python - Pandas: Nesting Dataframes

Question

Hello I want to store a dataframe in another dataframe cell. I have a data that looks like this

I have daily data which consists of date, steps, and calories. In addition, I have minute by minute HR data of a specific date. Obviously it would be easy to put the minute by minute data in 2 dimensional list but I'm fearing that would be harder to analyze later.
What would be the best practice when I want to have both data in one dataframe? Is it even possible to even nest dataframes?
Any better ideas ? Thanks!

标签： pythonpandasdataframe

Answer 1

Yes, it seems possible to nest dataframes but I would recommend instead rethinking how you want to structure your data, which depends on your application or the analyses you want to run on it after.

How to "nest" dataframes into another dataframe

Your dataframe containing your nested "sub-dataframes" won't be displayed very nicely. However, just to show that it is possible to nest your dataframes, take a look at this mini-example:

Here we have 3 random dataframes:

>>> df1
          0         1         2
0  0.614679  0.401098  0.379667
1  0.459064  0.328259  0.592180
2  0.916509  0.717322  0.319057
>>> df2
          0         1         2
0  0.090917  0.457668  0.598548
1  0.748639  0.729935  0.680409
2  0.301244  0.024004  0.361283
>>> df3
          0         1         2
0  0.200375  0.059798  0.665323
1  0.086708  0.320635  0.594862
2  0.299289  0.014134  0.085295

We can make a main dataframe that includes these dataframes as values in individual "cells":

df = pd.DataFrame({'idx':[1,2,3], 'dfs':[df1, df2, df3]})

We can then access these nested datframes as we would access any value in any other dataframe:

>>> df['dfs'].iloc[0]
          0         1         2
0  0.614679  0.401098  0.379667
1  0.459064  0.328259  0.592180
2  0.916509  0.717322  0.319057