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']]