Pandas-datareader: Issue when running DataReader

[PLAYER69]

Running the following:

import pandas as pd
import numpy as np
import matplotlib.pylab as plt
import datetime as dt
import pandas_datareader.data as web

start = dt.datetime(2015, 1, 1)
end = dt.datetime.now()
df = web.DataReader("TSLA", 'morningstar', start, end)

Error coming back is

NotImplementedError: data_source='morningstar' is not implemented

I have done uninstall and install of DataREader but same issue

NotImplementedError: data_source='morningstar' is not implemented

[addisonlynch]

What version of pandas datareader are you using? You can check this if using pip via the command pip freeze or alternatively:

import pandas_datareader
print(pandas_datareader.__version__)

[bashtage]

As of v0.7.0 Google finance and Morningstar have been immediately deprecated due to large changes in their API and no stable replacement.

[Jacksole]

I'm trying to do the same thing but just with Tesla.

start = data_source=datetime.datetime(2015, 1, 1, 0, 0)
end = datetime.datetime.now()
df = web.DataReader("TSLA", start, end)
df.reset_index(inplace=True)
df.set_index("Date", inplace=True)
df = df.drop("Symbol", axis=1)

print(df.head())

I have datareader version:
0.7.0+7.g7949e60 I pulled it for this
pip install git+https://github.com/pydata/pandas-data
reader.git

[oyekamal]

sir
change 'morningstar' or 'google' to 'yahoo'
it will work

[Paul-TechI]

google was deprecated. Try using 'yahoo', it works perfectly.

[rosarion]

THIS ONE WORKS

start = dt.datetime(2015, 1, 1, 0, 0)
end = dt.datetime.now()
df = web.DataReader("TSLA", 'yahoo', start, end)
Symbol = 'High'
df.reset_index(inplace=True)
df.set_index("Date", inplace=True)
df = df.drop('High',axis='columns')
df.head(7)

  | Low | Open | Close | Volume
-- | -- | -- | -- | --

222.250000 | 223.089996 | 222.410004 | 2297500
213.259995 | 222.869995 | 219.309998 | 4764400
207.160004 | 214.550003 | 210.089996 | 5368500
204.210007 | 210.059998 | 211.279999 | 6261900
209.779999 | 213.350006 | 210.949997 | 2968400
210.009995 | 212.809998 | 210.619995 | 3442500
204.960007 | 208.919998 | 206.660004 | 4668300

[shaurya172]

This really helped !