Python - Pandas Duplicates Finding and Filling
Mohan Sivaraman
Senior Software Development Engineer specializing in Python and Data Science at Comcast Technology Solutions
Basic Program 1:
Detailing:
From the above example we can see that Row number 2, Row number 4 is returning True means those were all the row seems duplicated from some other existing data.
Note:
Above example only second occurrence of the data as duplicates.
Basic Program 2:
Detailing:
From the above example, you can see that i have added new keyword called
keep = False
Keep = False will make sure that True is returned no matter whether it is on the First occurrence or any other occurrences.
Note:
So when any combination is duplicated entire combination will return TRUE.
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Basic Program 3:
Detailing:
From the above example, you can see that i have added new keyword called
keep = "last"
Keep = 'last' will make sure that True is returned n the First occurrence . Which is quite opposite to the one which we saw first in this article.
Note:
"last" needs to be enclosed in either single or double quote. Because "last" is not keyword like False in the another example.
Basic Program 4:
Detailing:
If you cross verify rest of the above program with this program , it is little different in the output.
This program returns only the duplicated items from the dataset .
Notes:
All the above example, program returns entire dataset and returns True for the duplicates on First Occurrences or Second Occurrences or Both .
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