I  have a table with 4 columns filled with integer.  Some of the rows have a value "null" as its more than 1000 records with this "null" value, how can I delete these rows all at once? I tried the delete method but it requires the index of the row its theres over 1000 rows. Is there as faster way to do it?
Thanks
use dataframe_name.isnull() #To check the is there any missing values in your table.
use dataframe_name.isnull.sum() #To get the total number of missing values.
use dataframe_name.dropna() # To drop or delete the missing values.
How to remove rows from a datascience table in python