# To drop duplicate columns duplicate_cols = df.columns[df.columns.duplicated()] df.drop(columns=duplicate_cols, inplace=True) Now, let’s create a DataFrame with a few duplicate rows and columns, execute these examples, and validate the results. Our DataFrame contains duplicate column namesCo...
You can count duplicates in pandas DataFrame by usingDataFrame.pivot_table()function. This function counts the number of duplicate entries in a single column, or multiple columns, and counts duplicates when having NaN values in the DataFrame. In this article, I will explain how to count duplicat...
Drop column Delete one or more columns Select column Choose one or more columns to keep, and delete the rest Rename column Rename a column Drop missing values Remove rows with missing values Drop duplicate rows Drop all rows that have duplicate values in one or more columns Fill missing values...
7. Data cleaning is often the most time-consuming part of any analysis, and Fabric notebooks make it easy to handle. Suppose the dataset has some missing values, you can use Python’s Pandas library to identify and fill in these gaps. In the notebook, ...
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Drop column Delete one or more columns Select column Choose one or more columns to keep, and delete the rest Rename column Rename a column Drop missing values Remove rows with missing values Drop duplicate rows Drop all rows that have duplicate values in one or more columns Fill missing values...
Drop column Delete one or more columns Select column Choose one or more columns to keep, and delete the rest Rename column Rename a column Drop missing values Remove rows with missing values Drop duplicate rows Drop all rows that have duplicate values in one or more columns Fill missing values...
Drop column Delete one or more columns Select column Choose one or more columns to keep, and delete the rest Rename column Rename a column Drop missing values Remove rows with missing values Drop duplicate rows Drop all rows that have duplicate values in one or more columns Fill missing values...
Drop column Delete one or more columns Select column Choose one or more columns to keep, and delete the rest Rename column Rename a column Drop missing values Remove rows with missing values Drop duplicate rows Drop all rows that have duplicate values in one or more columns Fill missing values...