how to remove nan columns in pandas code example

Example 1: drop if nan in column pandas

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

Example 2: how to delete nan values in python

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

Example 3: remove rows or columns with NaN value

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

Example 4: drop column with nan values

fish_frame = fish_frame.dropna(axis = 1, how = 'all')

Example 5: 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']]