![]() ![]() ![]() ![]() Method #1: print all rows where the ID is one of the IDs in duplicated: > import pandas as pd path of the input and output files Create the output file in write mode OutFile open('C:\Users\Lenovo\Downloads\Work TP\pre.txt','w') 11 Create an input file in read mode InFile open('C:\Users\Lenovo\Downloads\Work TP\File.txt', 'r') holding. So, in this example I would like to get all three A036 entries and both 11795 entries and any other duplicated entries, instead of the just first one. Following is another example to eliminate repeated lines in a Python function. In the API reference, I see how I can get the last item, but I would like to have all of them so I can visually inspect them to see why I am getting the discrepancy. But, when I use the above code, I only get the first item. My code looks like this currently: df_bigdata_duplicates = df_bigdata When I try to use pandas duplicated method, it only returns the first duplicate. I would like to get a list of the duplicate items so I can manually compare them. I have a list of items that likely has some export issues. ![]()
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