Closed krueschan closed 3 years ago
ok. I've found the issue. the .mul
function is applied to the object immediately preceding it. So in all cases where the term on the line above was a division, it is applied to the divisor, rather than the quotient, as expected. So using .mul(100)
pushes the decimal point 2 places right instead of left as you would want when converting fractions to percentages.
This also affected the share_global_cumulative_co2
variable, which is where I ended up discovering it, and many more. I figured it out because in share_global_co2
it worked fine because instead of .mul(100)
you used * 100
.
Easy fix, I created a pull request for the patch.
Peace,
krueschan.
Hi there, The co2_per_capita column has the value of zero across all countries/regions and years in both the csv and xls files. I checked the python script but with my limited python debugging skills I didn't see anything obvious. Cheers, krueschan.