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subset:<\/strong> Whether you want to drop duplicate values based on certain columns only. If 'subset' is set to None, it would identify those rows as a duplicate for which the values in every column is the same.
\nkeep:<\/strong> Specifies if you want to retain certain values. If it's 'first', it will retain the first value of that duplicate in the dataframe. If it's set to 'last', it will retain the last value. If it's False, it will drop all the rows.
\ninplace: <\/strong>Specifies whether you want to execute this command in place. <\/div>\n","tip":"","notChosenFeedback":""},"text":"
df.drop_duplicates(subset = None, keep = 'first', inplace = True)<\/div>\n"},{"correct":true,"tipsAndFeedback":{"tip":"","chosenFeedback":"","notChosenFeedback":""},"text":"
df.drop_duplicates(subset = None, keep = 'last', inplace = True)<\/div>\n"},{"correct":false,"tipsAndFeedback":{"tip":"","chosenFeedback":"","notChosenFeedback":""},"text":"
df.drop_duplicates(subset = None, keep = False, inplace = True)<\/div>\n"},{"correct":false,"tipsAndFeedback":{"tip":"","chosenFeedback":"","notChosenFeedback":""},"text":"
df.drop_duplicates(subset = None, keep = False, inplace = False)<\/div>\n"}],"overallFeedback":[{"from":0,"to":100}],"behaviour":{"enableRetry":true,"enableSolutionsButton":true,"enableCheckButton":true,"type":"auto","singlePoint":false,"randomAnswers":true,"showSolutionsRequiresInput":true,"confirmCheckDialog":false,"confirmRetryDialog":false,"autoCheck":false,"passPercentage":100,"showScorePoints":true},"UI":{"checkAnswerButton":"Check","showSolutionButton":"Show solution","tryAgainButton":"Retry","tipsLabel":"Show tip","scoreBarLabel":"You got :num out of :total points","tipAvailable":"Tip available","feedbackAvailable":"Feedback available","readFeedback":"Read feedback","wrongAnswer":"Wrong answer","correctAnswer":"Correct answer","shouldCheck":"Should have been checked","shouldNotCheck":"Should not have been checked","noInput":"Please answer before viewing the solution","a11yCheck":"Check the answers. The responses will be marked as correct, incorrect, or unanswered.","a11yShowSolution":"Show the solution. The task will be marked with its correct solution.","a11yRetry":"Retry the task. Reset all responses and start the task over again."},"confirmCheck":{"header":"Finish ?","body":"Are you sure you wish to finish ?","cancelLabel":"Cancel","confirmLabel":"Finish"},"confirmRetry":{"header":"Retry ?","body":"Are you sure you wish to retry ?","cancelLabel":"Cancel","confirmLabel":"Confirm"},"question":"
.<\/p>\n"}

Suppose you want to drop duplicate values from a Pandas dataframe 'df' except for one value in place.

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