remove nan from list python
cleanedList = [x for x in countries if str(x) != 'nan']
remove nan from list python
cleanedList = [x for x in countries if str(x) != 'nan']
python remove nan rows
df = df[df['my_var'].notna()]
Remove nan from list python
df.dropna(subset = ["column2"], inplace=True)
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