Different Methods to Treat Outliers of Datasets with Python Pandas
Practical methods helping you treat outliers during data processing step of data analysis
4 min readNov 12, 2022
In the last article, we used different method to detect the outliers in the datasets. In this article, we will learn how to treat outliers using some convenient methods in the Pandas library.
This article is the Part VII of Data Analysis Series, which includes the following parts. I suggest you read from the first part so that you can better understand the whole process.
- Part I: How to Read Dataset from GitHub and Save it using Pandas
- Part II: Convenient Methods to Rename Columns of Dataset with Pandas in Python
- Part III: Different Methods to Access General Information of A Dataset with Python Pandas
- Part IV: Different Methods to Easily Detect Missing Values in Python
- Part V: Different Methods to Impute Missing Values of Datasets with Python Pandas
- Part VI: Different Methods to Quickly Detect Outliers of Datasets with Python Pandas
- Part VII: Different Methods to Treat Outliers of Datasets with Python Pandas
- Part VIII: Convenient Methods to Encode Categorical…
