Pandas yahoo finance DataReader

Question

I am trying to get the Adj Close prices from Yahoo Finance into a DataFrame. I have all the stocks I want but I am not able to sort on date.

stocks = [\'ORCL         


        

Answer 1

Date is in the index values.

To get it into a column value, you should just use:

dataframe.reset_index(inplace=True,drop=False)

Then you can use

dataframe['Date'] 

because "Date" will now be one of the keys in your columns of the dataframe.

Answer 2

The sub-package pandas.io.data is removed from the latest pandas package and it is available to install separately as pandas-datareader

use git to install the package. in the linux terminal:

git clone https://github.com/pydata/pandas-datareader.git
cd pandas-datareader
python setup.py install

now you can use import pandas_datareader to your python script for Remote data Access.

For more information Use this link to visit the latest documentation

Answer 3

f is a Panel You can get a DataFrame and reset index (Date) using:

f.loc['Adj Close',:,:].reset_index()

but I'm not sure reset_index() is very useful as you can get Date using

f.loc['Adj Close',:,:].index

You might have a look at http://pandas.pydata.org/pandas-docs/stable/indexing.html#different-choices-for-indexing about indexing

Answer 4

print(dataFrame.index[0])

2014-01-02 00:00:00

Answer 5

import pandas_datareader.data as web
import datetime
start = datetime.datetime(2015, 1, 1)
end = datetime.datetime(2016, 1, 1)
web.DataReader('GOOGL', 'yahoo', start, end)

Answer 6

This should do it.

import pandas as pd
from pandas.io.data import DataReader

symbols_list = ['ORCL', 'TSLA', 'IBM','YELP', 'MSFT']
d = {}
for ticker in symbols_list:
    d[ticker] = DataReader(ticker, "yahoo", '2014-12-01')
pan = pd.Panel(d)
df1 = pan.minor_xs('Adj Close')
print(df1)

#df_percent_chg = df1.pct_change()