Python Pandas - Discussion pandaspddfpdDataFramepdCategoricalcategoriesdfdfdfcatremove_unused_categories# Grouping by 'Category'grouped=df.groupby('Category').mean()# Display the grouped DataFrameprint("\nGrouped DataFrame after removing unused categories:")print(grouped) ...
Remember: The (inplace = True) will make sure that the method does NOT return a new DataFrame, but it will remove all duplicates from the original DataFrame.Exercise? What are duplicate rows in a DataFrame? Rows with similar content Identical rows Rows where all columns of that row have ...
Drop duplicates where two columns have same values, Dataframe df1 drop duplicates row on columns Item and Value. Dataframe df2 keeps the rows where the value between column Group and … Tags: pandas drop duplicate pair data in different columnspandas dataframe drop duplicates in a column of lists...
Alternatively, we can use further functions such as GROUPBY and count the duplicate rows. 1 2 3 4 import pandas as pd data = pd.read_excel('C:\Temp\data.xlsx') df = pd.DataFrame(data) df.groupby(df.columns.tolist(),as_index=False).size() If any row count is greater than 1...
pandaspdnumpynpspdSeriesdtypestry:# Attempting to remove a non-existent categorys=s.cat.remove_categories(["elephant"])exceptValueErrorase:print("\nError:",e) Following is an output of the above code − Original Series: 0 cat 1 dog 2 mouse 3 cat dtype: category Categories (3, object)...