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knageswara78 / Python_Solutions

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Droping columns by Name and Number #6

Open knageswara78 opened 5 years ago

knageswara78 commented 5 years ago

1 Deleting particular column

df.drop(['cabin'], axis=1, inplace=True)

2 Deleting more columns

df.drop(['cabin','name'], axis=1, inplace=True)

3 Drop the unnecessary columns based on business knowledge

cols = [0,2,4,5,6,7,8,10,11,12,13,14,15,16,17] task_details.drop(task_details.columns[cols],axis=1,inplace=True)