I was studying the significance of data processing and analysis and its relevance to handling datasets with differing scales and ranges. I learned that preprocessing the data prior to analysis is crucial because it enables us to evaluate the comparative magnitudes of the values within each row. I was curious if there is a technique to generate a new column based on the minimum and maximum values within each row. If such methods exist, please provide a description and sample code to demonstrate.
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@nimrah, there are various methods to create a new column in a Pandas data frame containing the minimum by a maximum of each row. One of them is, You can use the apply() method to apply a custom function to each row of the data frame. You can define a function that takes the minimum value divided by the maximum value for each row, and then apply that function to the data frame using the apply() method. For example: