drop rows with nan values in a column pandas code example
Example 1: drop if nan in column pandas
df = df[df['EPS'].notna()]
Example 2: how to filter out all NaN values in pandas df
df.loc[df['column name'].isnull() == False]
Example 3: drop column with nan values
fish_frame = fish_frame.dropna(axis = 1, how = 'all')
Example 4: 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']]