Please check my code below, I am trying to iterate across two dataframes and check whether country name is same for both dataframe. But I am getting Na/NaN values error time and again and I am not able to understand why? Both datasets have no Na/NaN values but despite that I keep getting this error. Please help! Error is thrown at the IF statement. Country_name is a string such as United States, India etc.
for reviewer_id, row in data.iterrows():
for reviewer_id, row1 in data1.iterrows():
if data1['country_name'][row1] == data['country_name'][row]:
similar=textdistance.Levenshtein(row.Fname_Username,row1.Fname_Username)
data2['key1']= str(data['reviewer_id'])+'_'+str(data1['reviewer_id'])
data2['Fname_Username']= str(data['Fname_Username'])+'_'+str(data1['Fname_Username'])
data2['Similarity1']=similar
ValueError: cannot index with vector containing NA / NaN values