Category : merge

I have 2 Lists of dictionaries, example below: list one = [ {‘day’: ‘2021-09-05 00:00:00+02:00’, ‘airtime_total_for_day’: ‘650.00’, ‘data_total_for_day’: ‘0’}, {‘day’: ‘2021-09-16 00:00:00+02:00’, ‘airtime_total_for_day’: ‘124.20’, ‘data_total_for_day’: ‘20.00’}, ] list_two = [ {‘day’: ‘2021-09-10 00:00:00+02:00’, ‘data_bundle_total_for_day’: ‘100.00’}, {‘day’: ‘2021-09-16 00:00:00+02:00’, ‘data_bundle_total_for_day’: ‘50.00’}, {‘day’: ‘2021-09-18 00:00:00+02:00’, ‘data_bundle_total_for_day’: ‘45.00’}, ] I would like to merge the two lists together ..

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I have two Data Frames jedis = {jedi_id’: ["2", "4", "6", "1"], ‘name’:["Kylo", "Bastila", "Revan", "Steve from Minecraft"], ‘Looted Items’:} inventory = {jedi_number’: ["9", "4" , "6", "1", "1", "0", "2", "6", "1" , "55", "4", "4", "0", "9"], ‘Loot’:["Holocron", "Bantha Fodder", "Blaster", "Bantha Fodder", "Credits", "Bantha Fodder", "Blaster", "Bantha Fodder", "Holocron", "Blaster", "Holocron", "bread ..

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I tried two merge two data frames by adding the first line of the second df to the first line of the first df. I also tried to concatenate them but eiter failed. The format of the Data is 1,3,N0128,Durchm.,5.0,0.1,5.0760000000000005,0.076,—–****– 2,0.000,,,,,,, 3,3,N0129,Position,62.2,0.376,62.238,0.136,***— 4,76.1,-36.000,0.300,-36.057,,,, 5,2,N0130,Durchm.,5.0,0.1,5.067,0.067,—–***— 6,0.000,,,,,,, I already splitted the dataframe from above into two frames. ..

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i have a pandas dataframe with a distinct code identifier as detailed below: df1 = pd.DataFrame([[‘a’, 1], [‘b’, 2],[‘c’, 3],[‘d’, 4],[‘e’, 5],[‘f’, 5]], columns=[‘code’, ‘value1’]) with a second dataframe with the following df2 = pd.DataFrame([[‘a’, 11], [‘b’, 12],[‘c’, 13],[‘d’, 14],[‘e’, 15],[‘f’, 16],[‘g’, 17], [‘h’, 2],[‘i’, 3],[‘j’, 4],[‘k’, 5],[‘l’, 5]], columns=[‘code’, ‘value2’]) i would like to ..

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Hi could someone please help, how to merge the below 2 tables, without using the remove duplicates function. import pandas as pd df = pd.DataFrame({‘ID’ : [1,2,3], ‘product’ : [‘Phone’,’Car’,’Bike’]}) df2 = pd.DataFrame({‘ID2’:[1,1,1,2,2,3,3,3], ‘price’ : [30,50,30,50,50,20,60,40], ‘location’ : [‘aa’,’bb’,’cc’,’dd’, ‘ee’,’tt’,’hh’,’yy’]}) ID product 0 1 Phone 1 2 Car 2 3 Bike ID2 price location 0 ..

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Can someone help me with this implementation of merge sort? I’ve been struggling with my algorithm not sorting the elements of the array given. I’m wondering why the code is not sorting the elements of the array. def merge(A, start, mid, end): if start == mid: L = A[mid] else: L = A[:mid] R = ..

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I’m a beginner in coding. I’ve got a csv file, in which I want to add every second line to the line above. After editing I want to save the file at the same location with the same file-name. The format of the csv-file is: 1,**Part,,,,,, 2,1,N0022,Pos.,Z,28.000,0.500,28.184 3,56.1,-0.150,,,,, 4,2,N0023,Pos.,Z,28.000,0.500,28.140 5,56.2,-0.150,,,,, 6,3,N0024,Pos.,Z,28.000,0.500,28.085 7,56.3,-0.150,,,,, In specific, I ..

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Let’s say I have two DataFrames as follows: data1 = {‘feature1’: [23, 40, 11], ‘feature2’: [10, 14, 30], ‘feature3’:[13, 21, 18], ‘identifier’: [‘drug1’, ‘drug2’, ‘drug3’]} data2 = {‘feature1’: [15, 35, 16], ‘feature2’: [41, 28, 14], ‘feature3’:[17, 19, 24], ‘identifier’: [‘Control’, ‘Control’, ‘Control’]} df_Sample = pd.DataFrame(data1) df_Control = pd.DataFrame(data2) I have a data set for many ..

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