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4 Machine Learning code snippets on basics of pandas dataframe

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Thanks for registering with ProjectPro Recipes.

Here are 4 Data Science recipes to get you started with the basics for Pandas Dataframes. 
Recipe 1 - How to sort rows in a pandas dataframe

Many times in data analysis you will need to get a sense of the data and its magnitude. Sorting rows enables this. The df.sort_values()function enables this and sorts by columns that are passed as parameters to the function........the code snippet is here 
Recipe 2 - How to find the largest value in a pandas dataframe

The idxmax() function returns the index of the row with the highest value in your dataframe. The idxmin() function returns the index of the row with the lowest value in your dataframe...........the code snippet is here 
Recipe 3 - How to list unique values in a pandas dataframe

Finding unique values in a dataset is useful in many scenarios - to categorize the number of rows belonging to a specific entity, to find the most popular and least popular entities etc............the code snippet is here 
Recipe 4 - How to delete duplicates in a pandas dataframe

Deleting duplicate values largely serves the purpose of reducing memory usage of your dataset. It could also be used if you don’t want a specific value to be over represented in your dataset. drop_duplicates() returns only the unique values in the dataframe............the code snippet is here 
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