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

cleanedList = [x for x in countries if str(x) != ‘nan’]<br />

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

df = df.dropna(axis = 0)

df = df[df[‘my_var’].notna()]

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

df[~df.isin([np.nan, np.inf, -np.inf]).any(1)]

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

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