I'm new to coding and need some help getting past this error.

Hello,

I'm new and am running into this wall I can't get over. If someone would be so kind as to help me understand this error more and how to correct it, I'd appreciate it.

I'm watching a video from a Quantopian employee, and simply watching, inputting the code, and seeing how it works. I am watching this video if anyone is interested in the source: https://www.youtube.com/watch?v=j1FX36bO9ds

There are two errors I'm trying to remedy. The first one is an attribute error for line 62 of the code. I simply do not know what is wrong with the code, it does say " AttributeError: 'Latest' object has no attribute 'eq' " I assume that the I've defined something inappropriately, but some guidance would be great.

ERROR 1:

Here's a code snippet:

from quantopian.algorithm import attach_pipeline, pipeline_output  
from quantopian.pipeline import Pipeline  
from quantopian.pipeline import CustomFactor  
from quantopian.pipeline.data.builtin import USEquityPricing  
#The fundamental data is from a partnership with MorningStar  
from quantopian.pipeline.data import morningstar


def initialize(context):  
#Every pipeline must be named so that you can reference it, in the future you can reference multiple pipelines simultaneously  
    pipe = Pipeline()  
    attach_pipeline(pipe, 'top500')

    # Get the latest revenue value

    revenue = morningstar.income_statement.total_revenue.latest

    pipe.add(revenue, 'revenue')

    # Rank all companies based on revenue , Ascending = False means 1st return will be the largest revenue company.

    ranked_rev = revenue.rank(ascending=False)

    # in ( ) will be a requirement of what the data will be, and what the name will be. This should be the case everytime.  
    pipe.add(ranked_rev, 'rev_rank')

    # Get the share class using latest to get the most recent value

    share_class = morningstar.share_class_reference.is_primary_share.latest  

    #Filter out any companies without revenue and all non-primary share classes  
    #Filter out companies with revenues only greater than $1, and share_class.eq(1) which are primary shares being traded,  
#     I believe leveraged stocks will not be included in this, VXX, UVXY, etc. 

#share_class.eq(1) means shares that are tradeable. 1 means securities that are primary shares, 0 means they are not. Value is either 1 or 0.

#  'pipe.set_screen((revenue > 1) & (share_class.eq(1)))'share_class.eq object error for .eq .

#    pipe.set_screen(revenue > 1)  
    pipe.set_screen((revenue > 1) & (share_class.eq(1)))

pipe.set_screen((revenue > 1) & (share_class.eq(1))) is the line that triggers the error response.

ERROR 2:

I'm going to ask the second question here and hope this chain or replies doesn't become clustered. fingers crossed

So I commented the previous error out and ran the code again and it worked and began to backtest for a short period until I ran into this new error: " KeyError: 'my_leverage' "

I don't think my_leverage is ever defined properly, but I again am so new to coding that I honestly can't say with any confidence other than the line where it says 'my_leverage' is the first time it appears in the algo.

Here is the code snippet:

def handle_data(context, data):

    # Record and plot the leverae of our portfolio over time.  
    record(leverage = context.account.leverage)

# This rebalancing is called according to our schedule_function settings.

def rebalance(context, data):  
    weight = context.my_leverage / float(len(context.top500))  
    for stock in context.top500.index:  
        if stock in data:  
            order_target_percent(stock, weight)  
    for stock in context.portfolio.positions.iterkeys():  
        if stock not in context.top500.index:  
            order_target(stock, 0)

Thanks for any help! I realize this is length, but it is two separate errors please so clarity please refer to them as ERROR 1 and ERROR 2 when responding.