• Reshaping the dataframe with pandas melt()


    Reshaping dataframe is an important and indispensable skill in data science. In this article, we will explore pandas melt() and how to use it for data processing. The simplest melt The simplest melt () does not require any parameters. It turns all columns into rows (displayed as column variables) and lists all associated values in […]

  • Reshape package usage


    Reshape package The reshape package is a wonderful universal tool for refactoring and integrating data. #Installation install.packages(“reshape”) Roughly speaking, you first need to “melt” the data so that each row is a unique identifier variable combination. Then “cast” the data to any shape you want. 1. Integration Each measurement variable has an exclusive row with […]