How can I create a dictionary from a data frame with multiple values? [duplicate]

Question

I am trying to create a dict from a data frame of a stock. The dict keys should be the sector and the values the corresponding tickers.

df.set_index('Sector').to_dict()['Ticker']

I have this code which works in creating some of the dictionary. The issue being it has created the right amount of keys but only one ticker to each key. I can see from the data frame that most keys should include many more tickers.

The DataFrame looks like this:

Company	Ticker	Exchange	Sector	Date added	Weighting
3M	MMM	NYSE	indus	09/08/76	3.022

the desired output will be

{Indus: MMM, BA, ...., 
 Financials: AXP, GS,...}

for all the industry's and tickers

Answer 1

Not completely sure what you want, but I assume you want to group the sectors and create a list of Tickers for each sector. I created an example dataframe as yours is not containing enough rows. Following would be the code to create the dictionary:

import pandas as pd

df = pd.DataFrame({'Sector':['s1', 's1','s1','s2','s2'],
              'Ticker': ['t1','t2','t3','t4','t5'],
              'Other column':[1,2,3,4,5]
                  })

print(df)

result = df.groupby('Sector')['Ticker'].apply(list).to_dict()
print(result)

Dataframe looks like this:

  Sector Ticker  Other column
0     s1     t1             1
1     s1     t2             2
2     s1     t3             3
3     s2     t4             4
4     s2     t5             5

Dictionary looks like this:

{'s1': ['t1', 't2', 't3'], 's2': ['t4', 't5']}