drop where certain column value is nan pandas code example

Example 1: drop if nan in column pandas

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

Example 2: remove rows or columns with NaN value

df.dropna()     #drop all rows that have any NaN values
df.dropna(how='all')

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']]