![]() You can use the df.columns.duplicated() method to get a boolean array representing whether columns are duplicates (are already present) or not.įirst, let’s see the output of df.columns.duplicated() for the above dataframe. Now, if we are to drop duplicate columns based on their names, we first need to identify them. ![]() The first two “Department” columns have the same values whereas the third “Department” column has different values. You can see that the above dataframe has three “Department” columns. Here, we created a dataframe with data of some employees in the offices. In this method, we say two (or more columns) are duplicates if they have the same name irrespective of their values. Example 1 – Drop duplicate columns based on column names Let’s now look at some examples of using the above methods to drop duplicate columns from a dataframe. To remove duplicate columns based on the column values, transpose the dataframe, drop duplicate rows, and then transpose it back (see the examples below).To remove duplicate columns based on the column names, first, identify the duplicate columns and then remove them using the.Now, depending on how you choose to define duplicate columns there can be different ways to remove them from a pandas dataframe. Earned commissions help support this website and its team of writers. When you purchase a course through a link on this site, we may earn a small commission at no additional cost to you. MIT Statistics and Data Science: MicroMasters® Program in Statistics and Data Scienceįind Data Science Programs 100,000+ enrollmentsĭisclaimer: Data Science Parichay is reader supported.MIT Statistics and Data Science: Machine Learning with Python - from Linear Models to Deep Learning.UC San Diego Data Science: Probability and Statistics in Data Science using Python.UC San Diego Data Science: Python for Data Science.Harvard University Computer Science Courses: Using Python for Research.Harvard University Learning Python for Data Science: Introduction to Data Science with Python.Harvard University Data Science: Data Science - R Basics.IBM Data Engineering Fundamentals: Python Basics for Data Science. ![]() IBM Python Data Science: Professional Certificate in Python Data Science.IBM Data Science Foundations: The Data Science Method.Discover Online Data Science Courses & Programs (Enroll for Free)
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