Category : merge

Python Pandas Merge Slow For Large dataset For Finding Common Element in Two Dataframe due to Not Fully Utilized In ALL CPU Cores. Need Help For Multi-Processing/Multi-threading/Vectorization Problem: [Issue: Not Fully Utilized In ALL CPU Cores in Python Python Merge.][1] Most of the time, Only ONE cpu core reaches to 100%. What I am trying ..

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I have a dataframe storing a date, car_brand, color and a city: date car_brand color city "2020-01-01" porsche red paris "2020-01-02" prosche red paris "2020-01-03" porsche red london "2020-01-04" porsche red paris "2020-01-05" porsche red london "2020-01-01" audi blue munich "2020-01-02" audi red munich "2020-01-03" audi red london "2020-01-04" audi red london "2020-01-05" audi red ..

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I have two DataFrames: data1 = ‘ID’ : ‘0’, ‘0’,’0′,’1′,’1′,’1′,’1′,’2′,’2′,’2′,’3′,’3′,’3′,’3′, ‘value1’ : ‘a’, ‘b’ ,’c’,’a1′,’b1′,’c1′,’a2′,’b2′,’c2′,’a3′,’b3′,’c3′, data2 = ‘ID’ : ‘0’,’1′,’2′,’3′], ‘Category’ : ‘RED’,’BLUE’,’YELLOW’ I want to create a new data frame from two these two DataFrames. Newdataframe = ‘ID’ : ‘0’, ‘0’,’0′,’1′,’1′,’1′,’1′,’2′,’2′,’2′,’3′,’3′,’3′,’3′], ‘value1’ : ‘a’, ‘b’ ,’c’,’a1′,’b1′,’c1′,’a2′,’b2′,’c2′,’a3′,’b3′,’c3′, ‘Category’ :’RED’,’RED’,’RED’,’BLUE’,’BLUE’,’BLUE’,’YELLOW’,’YELLOW’,’YELLOW’,’YELLOW’ Source: Python..

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I have 2 dataframes: df_dict: Bet365 Team (Dataset) Record ID — ——————– —————- ———– 0 Lincoln City Lincoln 50 1 Peterborough Peterboro 65 2 Cambridge Utd Cambridge 72 3 Harrogate Town Harrogate 87 4 Cologne FC Koln 160 5 Hertha Berlin Hertha 167 6 Arminia Bielefeld Bielefeld 169 7 Schalke Schalke 04 173 8 TSG ..

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