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()
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