pandas series remove nan code example

Example 1: remove nan from list python

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

Example 2: drop if nan in column pandas

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

Example 3: when converting from dataframe to list delete nan values

a = [[y for y in x if pd.notna(y)] for x in df.values.tolist()]
print (a)
[['str', 'aad', 'asd'], ['ddd'], ['xyz', 'abc'], ['btc', 'trz', 'abd']]