To remove duplicates, use the drop_duplicates() method.Example Remove all duplicates: df.drop_duplicates(inplace = True) Try it Yourself » Remember: The (inplace = True) will make sure that the method does NOT return a new DataFrame, but it will remove all duplicates from the ...
Using the Pandas Library for DataFrames If you are working with data in a tabular format, such as a CSV file, you can use the Pandas library to remove duplicates. Pandas is a powerful library for data analysis, and it provides a convenient way to work with data in a DataFrame format. ...
Pandasprovides efficient data manipulation tools, and its DataFrame can be used to remove duplicates while maintaining order, suitable for dataframes or tabular data. This method converts the list into a pandas DataFrame, removes duplicates using thedrop_duplicates()function, and then converts the r...
Example 1: Use drop_duplicates() without any arguments In the following query, it calls drop.duplicates() function for [data] dataframe. 1 2 3 4 import pandas as pd data = pd.read_excel('C:\Temp\data.xlsx') #print(data) data.drop_duplicates() In the output, we can see that ...