Python data science

Question

def missing(df,column_name):
##Start Code
df[df.gender.isnull().sum()]
## End Code

this is th erro
ipython-input-28-6e164c723942> in <module>
----> 1 missing(df,'gender')

<ipython-input-25-01108b799fe1> in missing(df, column_name)
1 def missing(df,column_name):

Answer 1

What You Likely Want:
You want to filter and return rows where the column has missing values. Here's the corrected version:
def missing(df, column_name):
return df[df[column_name].isnull()]
Example Usage:
missing_rows = missing(df, 'gender')
print(missing_rows)
This will return all rows in your DataFrame df where the 'gender' column has a NaN (missing) value.

Answer 2

mm you can sum null values?