Pandas - Merge DataFrame to Series when all column values are the same.

Question

I just started to using pandas and I would to reduce amount of data that I get by merging my DataFrames in that way:

• Load df
• Check in which columns all values are the same
• Delete other columns
• Reduce df to single Series

• Return

   def merge_df(in_df): alist = [] for col in in_df.columns: if len(in_df[col].unique()) == 1: alist.append(col) return in_df[alist].T.squeeze()[1] 

Is there any more elegent way to do it? Eg without looping through all columns?

Answer 1

Yeah you can remove duplicate data by pandas simple function. df.drop_duplicates() You can refer documentation here.

For removing particular column redundant data you can pass column name as a parameter " subset ". It will remove whole row for duplicate data.