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14 8 machine learning 81 7 When I am trying to create a data frame as below: new_dataframe = pd.DataFrame({'name':['Machine Learning','data mining','Systems Engineering','Data Analysis'],'category':['programming','data mining','Systems Engineering','Operating systems']}) The output is: I need to get the above result. A: This is called Pivot. You can use pivoting with an agg function with axis=1. df = df.pivot(columns='name', values='category') df.sort_values(by=['name','category']) output: name category 0 programming data mining Systems Engineering 2 data mining systems engineering 1 Systems Engineering data analysis 3 data analysis operating systems 4 operating systems Update: You can also get the index of the first category: df.pivot(columns='name', values='category').index.tolist() [0, 2, 1, 3, 4] Update 2: To get the index as column name, you can use df.columns.values.tolist(). ['Machine Learning', 'Systems Engineering', 'Data Analysis', 'data mining', 'operating systems'] CLEARWATER, Fla. – Ten-year-old Lucas Sillitoe, who plays right tackle for the Clearwater High School football team, has been selected to participate in the ESPN The Game High School All-American Football Classic at AT&T Stadium in Arlington, Texas, on Jan. 7. Lucas will participate in the 2018 game, an ESPN broadcast that honors some of the nation's best high school players and educates viewers on the college recruiting process. A

 

 


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