List comprehension that ignores NaN

Question

I'm trying to build a list comprehension that has a conditional to not import nan values, but not having luck. Below is the current code along with the resulting output. What conditional will remove the nans from the list?

def generate_labels(filtered_df, columnName):
    return[
        {'label': i, 'value': i} for i in 
        filtered_df[columnName].unique() 
    ]

generate_labels(df, 'Region')


#Output  


[{'label': 'Americas', 'value': 'Americas'},
     {'label': 'EMEA', 'value': 'EMEA'},
     {'label': nan, 'value': nan},
     {'label': 'APAC ', 'value': 'APAC '}]

Answer 1

def generate_labels(filtered_df, columnName):
    return[
        {'label': i, 'value': i} for i in filtered_df[columnName].dropna().unique() 
    ]