Fwd: Can you help me with this Python question?

[Axy]

Well, although I never used pandas and never will, if that's about 
artworks, that's mine.

Obviously, you need to iterate columns and sum values returned by the 
snippet you provided. A quick search tells us to use colums property. 
So, it might look like this:

na_sum = sum(df[name].isnull().sum() for name in df.columns)

Axy

On 13/10/2022 13:44, Sarah Wallace wrote:
> For a python class I am taking..
>
> In this challenge, you'll be working with a DataFrame that contains data
> about artworks, and it contains many missing values.
>
> Your task is to create a variable called na_sum that contains the total
> number of missing values in the DataFrame. When that's completed, print out
> your answer!
>
> Hint: The code given below will give you the number of missing (NaN) values
> for the *Name* column in the DataFrame. How would you edit the code to get
> the missing values for every column in the DataFrame?
> Extra hint: You'll be returning a single number which is the final sum() of
> everything.
>
> df['Name'].isnull().sum()
>