how to remove nan values in python code example

Example 1: drop if nan in column pandas

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

Example 2: remove nan from list python

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

Example 3: how to delete nan values in python

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

Example 4: python remove nan rows

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

Example 5: delete nans in df python

df[~np.isnan(df)]

Example 6: 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']]