It is super helpful when you want to make. Steps to Remove Duplicates from Pandas DataFrame Step 1: Gather the data that contains the duplicatesįirstly, you’ll need to gather the data that contains the duplicates.įor example, let’s say that you have the following data about boxes, where each box may have a different color or shape: ColorĪs you can see, there are duplicates under both columns.īefore you remove those duplicates, you’ll need to create Pandas DataFrame to capture that data in Python. Pandas DataFrame.dropduplicates() will remove any duplicate rows (or duplicate subset of rows) from your DataFrame. In the next section, you’ll see the steps to apply this syntax in practice. df pd.DataFrame(np.random.randint(100, size(20, 2000))).astype(str) In 155: timeit df.apply(lambda col: col.dropduplicates().resetindex(dropTrue)) 1. The pandas dataframe dropduplicates() function can be used to remove duplicate rows from a dataframe. If so, you can apply the following syntax to remove duplicates from your DataFrame: df.drop_duplicates() Decemby Zach Pandas: How to Drop Duplicates Across Multiple Columns You can use the following methods to drop duplicate rows across multiple columns in a pandas DataFrame: Method 1: Drop Duplicates Across All Columns df. Need to remove duplicates from Pandas DataFrame?
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