I have 2 dataframes that I have successfully merged together which results in a single desired row of data.
Then I successfully determined the whole value difference between two integer columns.
Now all I want to do is output the integer value result, with no other metadata.
IN:
def answer_four():
Top15 = answer_one()
Top15_6th = answer_three()
Top15_6th = Top15_6th.iloc[[5]]
# https://stackoverflow.com/questions/36538780/merging-dataframes-on-index-with-pandas
Top15_6th_ab = pd.merge(
Top15_6th[['avgGDP']],
Top15[['2006', '2007', '2008', '2009', '2010', '2011', '2012', '2013', '2014', '2015']],
left_index = True,
right_index = True
)
Top15_6th_ab['Value_10yr_Change'] = Top15_6th_ab['2015'] - Top15_6th_ab['2006']
return Top15_6th_ab['Value_10yr_Change']
answer_four()
OUT:
Country
United Kingdom 246702696075
Name: Value_10yr_Change, dtype: float64
All I want in OUT is:
246702696075
I assume I need to add some method/parameters after my return clause, but through much research I have found the answer.
Thanks for your time and assistance in advance!
Matt
Top15_6th_ab['Value_10yr_Change'][0]
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