How to iterate through pandas-datareader and create multiple dataframes for each stock ticker?

I want to iteratively create multiple dataframes from a list of ticker names.

Here is the stack overflow post i'm referencing:

Stack Overflow Post - Iteratively Create Multiple Dataframes

I'm having trouble understanding how to accomplish this, i feel like i'm missing or misunderstanding something here?

I wrote up the following list and dictionary

list_of_tickers = ['BAC','C','GS','JPM','MS','WFC']
dict_of_tickers = {name: pd.DataFrame() for name in list_of_tickers}

However when i run this portion of the code i get the following error:

for ticker, ticker_data in dict_of_tickers.items():
    ticker_data = data.DataReader(ticker,'yahoo',start,end)

This creates one single dataframe of all tickers but doesn't allow me to distinguish between them, i feel like i'm missing some key logic here.

I found out that the DataReader iterates over the list itself so the need to create a dictionary to iterate isn't necessary.

The following lines of code achieve what I was seeking which is an alternative to concatenating multiple dataframes from each stock ticker to avoid specifying DataReader for each symbol.

1. Sets the date ranges:

start = datetime.datetime(2006,1,1)
end = datetime.datetime(2016,1,1)

2. Specifies the symbols:

 list_of_tickers = ['BAC','C','GS','JPM','MS','WFC']

3. Iterates over each ticker, creates a single multilevel column dataframe:

p = data.DataReader(list_of_tickers, 'yahoo', start, end)

4. OPTIONAL: Then pivot the 'symbols' column level and replaces the Date index so it can be used in analysis:

res = p.stack().reset_index()

5. OPTIONAL: This step isn't necessary and was purely for aesthetics to clean up the FrozenList and index names:

res.columns.names=[None]
res.index.names = ['ID']