Python

cleanedList = [x for x in countries if str(x) != 'nan']

x = x[~numpy.isnan(x)]

df = df[df['my_var'].notna()]

df.dropna(subset = ["column2"], inplace=True)

cleanedList = [x for x in countries if str(x) != 'nan']

cleanedList = [x for x in countries if str(x) != 'nan']

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