How to get Historical Financial Data for Data Analysis in Python?

Question

I need to get Stock data using pandas DataReader for the following banks:

    Bank of America
    CitiGroup
    Goldman Sachs
    JPMorgan Chase
    Morgan Stanley
    Wells Fargo

How to get the stock data from Jan 1st 2006 to Jan 1st 2016 for each of these banks.

I have tried...

import numpy as np
import pandas as pd
from pandas_datareader import data, wb
import matplotlib
import matplotlib.pyplot as plt
import seaborn as sns
import requests
import io
%matplotlib inline

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

# Bank of America
BAC = data.DataReader("BAC",'ff', start, end)

Answer 1

Your problem is with the source which you are using to retrieve the data with Datareader. It doesn't seems that 'ff' corresponds to any accepted API.

I've tried this and it works:

import pandas_datareader.data as web
from datetime import datetime

start = datetime(2016, 9, 1)
end   = datetime(2018, 9, 1)

f = web.DataReader('BAC', 'iex', start, end)
print(f)

Also, take a look at the pandas-datareader official doccumentation, there are plenty of examples.