Find A Null Value And Drop From A Dataframe In Pandas

Hi I have a dataframe like this with 500+ rows. company_url company tag_line product data 0 https://angel.co/billguard BillGuard The fastest smartest way to track your

Solution 1:

You can keep only the notnull values using a boolean mask:

df = df[df["data"].notnull()]

Solution 2:

Try

bigdata_filtered = bigdata_comp_dropped[~bigdata_comp_dropped['data'].isnull()]