Pandas: Storing Dataframe in Dataframe

Question

I am rather new to Pandas and am currently running into a problem when trying to insert a Dataframe inside a Dataframe.

What I want to do: I have multiple simulations a

Answer 1

The 'pointers' referred to at the end of ns63sr's answer could be implemented as a class, e.g...

Definition:

class df_holder:
    def __init__(self, df): 
        self.df = df

Set:

df.loc[0,'df_holder'] = df_holder(df)

Get:

df.loc[0].df_holder.df

Answer 2

Instead of big_DataFrame['Signal 1'].loc['Name 1'] you should use

big_DataFrame.loc['Name 1','Signal 1']

Answer 3

the docs say that only Series can be within a DataFrame. However, passing DataFrames seems to work as well. Here is an exaple assuming that none of the columns is in MultiIndex:

import pandas as pd

signal_df = pd.DataFrame({'X': [1,2,3],
                          'Y': [10,20,30]}  )

big_df = pd.DataFrame({'SimName': ['Name 1','Name 2'],
                       'Date ':[123  , 456 ],
                       'Parameter 1':['XYZ', 'XYZ'],
                       'Parameter 2':['XYZ', 'XYZ'],
                       'Signal 1':[signal_df, signal_df],
                       'Signal 2':[signal_df, signal_df]}  )

big_df.loc[0,'Signal 1']
big_df.loc[0,'Signal 1'][X]

This results in:

out1:    X  Y
      0  1  10
      1  2  20
      2  3  30

out2: 0    1
      1    2
      2    3
      Name: X, dtype: int64

In case nested dataframes are not properly working, you may implement some sort of pointers that you store in big_df that allow you to access the signal dataframes stored elsewhere.