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In [3]:

    
import yfinance as yf
import pandas as pd

goog = yf.Ticker('GOOG')
analyst_calls = goog.recommendations
analyst_calls









    Out[3]:







  
    
      
      Firm
      To Grade
      From Grade
      Action
    
    
      Date
      
      
      
      
    
  
  
    
      2012-03-14
      Oxen Group
      Hold
      
      init
    
    
      2012-03-28
      Citigroup
      Buy
      
      main
    
    
      2012-04-03
      Global Equities Research
      Overweight
      
      main
    
    
      2012-04-05
      Deutsche Bank
      Buy
      
      main
    
    
      2012-04-09
      Pivotal Research
      Buy
      
      main
    
    
      ...
      ...
      ...
      ...
      ...
    
    
      2020-03-30
      UBS
      Buy
      
      main
    
    
      2020-03-30
      Morgan Stanley
      Overweight
      
      main
    
    
      2020-03-30
      BMO Capital
      Outperform
      Market Perform
      up
    
    
      2020-04-17
      Mizuho
      Buy
      
      main
    
    
      2020-04-17
      Oppenheimer
      Outperform
      
      main
    
  

391 rows × 4 columns



In [9]:

    
# get a count of analyst gradings for the last month
analyst_calls.last('3M').groupby(['To Grade']).count()



In [ ]:

	Firm	To Grade	From Grade	Action
Date
2012-03-14	Oxen Group	Hold		init
2012-03-28	Citigroup	Buy		main
2012-04-03	Global Equities Research	Overweight		main
2012-04-05	Deutsche Bank	Buy		main
2012-04-09	Pivotal Research	Buy		main
...	...	...	...	...
2020-03-30	UBS	Buy		main
2020-03-30	Morgan Stanley	Overweight		main
2020-03-30	BMO Capital	Outperform	Market Perform	up
2020-04-17	Mizuho	Buy		main
2020-04-17	Oppenheimer	Outperform		main