I am creating a pipeline to learn about how to use quantopian to do some research. My pipeline looks like

# Base Universe.  
base_universe = Q500US()

# Revenue Growth.  
revenue_growth = morningstar.operation_ratios.revenue_growth.latest

# Return on Invested Capital.  
roic = morningstar.operation_ratios.roic.latest

# earning yeilds = EPS/Price  
# earning_yield = morningstar.operation_ratios.earning_yield.latest  
eps_today = morningstar.earnings_report.diluted_eps.latest  

# Filtering top companies by revenue growth.  
high_revenue = revenue_growth.percentile_between(80,100, mask=base_universe)

# Filtering top companies by return on invested capital.  
high_roic = roic.percentile_between(80,100, mask=base_universe)

# Filter top companies by earning per share  
# high_eps = earning_yield.percentile_between(80, 100, mask=base_universe)  
high_eps = eps_today.percentile_between(80, 100, mask=base_universe)

# Setting filters.  
securities_of_high_growth = (high_revenue & high_roic & high_eps)

from quantopian.research import run_pipeline  
market_cap = morningstar.valuation.market_cap.latest  
pe = Fundamentals.forward_pe_ratio.latest  

pipeline = Pipeline(  
    columns={  
            'fpe': pe,  
             'market_cap': market_cap,  
        },  
        screen=securities_of_high_growth  
    )

pipeline_output = run_pipeline(  
    pipeline,  
    start_date='2017-01-01',  
    end_date='2017-12-31',  
)

# Display last 10 rows  
pipeline_output.tail(10)  

This pipeline when I ran it will results in KeyError: '_29009'. Not sure what I did wrong.