Build Your Own AI Investor: With Machine Learning and Python, Step by Step, Second Edition by Lee Damon

Author:Lee, Damon [Lee, Damon]
Language: eng
Format: epub, pdf
Publisher: www.valueinvestingai.com
Published: 2021-03-08T16:00:00+00:00

# Merge the data together

result = pd.merge(incomeStatementData, balanceSheetData,
on=['Ticker','SimFinId','Currency',

'Fiscal Year','Report Date','Publish Date'])

result = pd.merge(result, CashflowData,
on=['Ticker','SimFinId','Currency',

'Fiscal Year','Report Date','Publish Date'])

# dates in correct format

result["Report Date"] = pd.to_datetime(result["Report Date"])

result["Publish Date"] = pd.to_datetime(result["Publish Date"])

print('Merged X data matrix shape is: ', result.shape)

return result

X = getXDataMerged()

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