Answers for "drop rows with all nan values pandas"

drop rows that contain null values in a pandas dataframe

df.dropna(inplace=True)
# to drop any rows that contain any null values
df.dropna(how='all', inplace=True)
# to drop the rows wich all of it's values is any

# if you want to drop the columns not the rows you just set the axis to 1 like this:
df.dropna(axis=1, inplace=True)

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']]