Indian dataframe issue

[SirRacha]

Hi - thank you very much for this run through on world bank data! I found an issue with the data that could have come from a change on the API side over the years. Total population is the one column that gets removed and needs to be recalculated. Quick fix:

`
#pick the dataframe for the country India from the list of dataframes
dfIndia = list_df[1]

#Male Population in any given year=Total Population - Female Population
#validation so that the operation does not fail
if 'Male Population' in dfIndia.columns and 'Female Population' in dfIndia.columns:
# calculate
dfIndia["Total Population"] = dfIndia["Male Population"] + dfIndia["Female Population"]
else:
#print error message
print("One of the columns Total Population or Female Population is missing.")

list_df[1].head()
`

[Blazeblitz276]

Hey @SirRacha , Thanks for the resolution. It works perfectly.

[shwetajoshi601]

@SirRacha Thank you for pointing that out. Would you like to fix and raise a pull request?