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Want final value of status against each ID in a logs.csv file - Pandas/Python

Time:06-23

I have a pandas data frame as follows

Name Marks latest
John 32
Sara 43
John 45
John 82
Sara 69

What I want is a new data frame which only shows the final marks for each name:

Name Marks latest
John 82
Sara 69

What's the easiest way to do so?

CodePudding user response:

Use drop_duplicates:

out = df.drop_duplicates('Name', keep='last')
print(out)

# Output
   Name  Marks latest
3  John            82
4  Sara            69

CodePudding user response:

You can use groupby()

df.groupby('Name', as_index = False)['Marks latest'].agg('last')
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