Ch14 (pg 412) norm_total group function yielding ValueError
robml opened this issue · comments
So in Chapter 14 (the worked through examples) in the first example, page 412, there is a piece of code that normalizes the OS usage of the devices used to shorten gov urls.
The function supplied is as follows:
def norm_total(group):
group['normed_total'] = group.total / group.total.sum()
return group
results = count_subset.groupby('tz').apply(norm_total)
sns.barplot(x='normed_total',y='tz',hue='os',data=results)
It is on this last line where I get a ValueError: Could not interpret input 'normed_total'
I haven't had any other issues with apply on groupby before, so I am unsure whether there is a typo or maybe functionality has been deprecated. Any suggestions?
That looks like an error you would get from seaborn if you passed the original count_subset (or something without the normed_total column, or the column name misspelled) -- I tried the example locally with pandas 1.3.5 and it works correctly, here is what the results variable looks like for me in Jupyter:
