Get Count Duplicate Rows in Pandas DataFrame Now, Let’s create Pandas DataFrame using data from a Python dictionary, where the columns are Courses, Fee, Duration and Discount. # Example 7: Get count duplicates for each unique rowĭf2 = df.groupby(df.columns.tolist(), as_index=False).size() # Example 5: Count duplicate values in courses columnĭf2 = len(df)-len(df.drop_duplicates()) # Example 4: Get count duplicate null using fillna()ĭf = df.fillna('NULL') # Example 3: Get count duplicates When having nan valuesĭf2 = df.pivot_table(columns=, aggfunc='size') # Example 2: Get count duplicates multiple columns The resultant set can be converted back to a list using the list() method.# Example 1: Get count duplicates single columnĭf2 = df.pivot_table(index =, aggfunc ='size') If a list is typecasted to a set, that is it is passed as an argument to the set() method, it will automatically create a set consisting of all elements in the list but it will not keep duplicate values. It will automatically remove similar entries because set has a property that it cannot have duplicate values. The simplest way to remove duplicates from a list in Python is by converting the list into a set. It is a collection of items that can be accessed using a single variable name. Let’s check them out one by one: 1) Using set()Ī set is a data structure that is very similar to lists.
There are many ways to remove duplicates from a list in Python. 7 Ways to Remove Duplicates from a List in Python In general, it's a good idea to remove duplicates from a list to make it more organized and easier to work with. So, removing duplicates will make the data more accurate for better analysis.įor example, if you're trying to find the unique elements in a list, duplicates can give you incorrect results. Additionally, it can lead to confusion and errors if you're using the list for certain operations. Duplicates in a list can take up unnecessary space and decrease performance.
Now there are several reasons to remove duplicates from a list. Learn more about printing lists in Python to understand the concept better. The most important advantage of it is that the elements inside the list are not compulsorily of the same data type. It is written as the list of comma-separated values inside the square bracket. So, let's get started! Why Remove Duplicates from the List?Ī Python list is a built-in data structure to store a collection of items. Here, we are going to study the multiple ways to remove duplicates from the list in Python. But it can contain duplicates, and sometimes it is necessary to make the list unique. The list is the most important data type in the Python language.
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