Is there a way to remove nan from a dictionary filled with data?

Question

I have a dictionary that is filled with data from two files I imported, but some of the data comes out as nan. How do I remove the pieces of data with nan?

My code i

Answer 1

Know old, but here is what worked for me and simple - remove NaNs on reading of the CSV upfront:

orangebook = pd.read_csv('C:\Users\WEGWEIS_JAKE\Desktop\Work Programs\Code Files\products2.txt',sep='~', parse_dates=['Approval_Date']).dropna()

I also like to convert to dictionary at the same time:

orangebook = pd.read_csv('C:\Users\WEGWEIS_JAKE\Desktop\Work Programs\Code Files\products2.txt',sep='~', parse_dates=['Approval_Date']).dropna().to_dict()