![]() If you have experience in doing data analysis with SPSS you are probably familiar with some of them (e.g., categorical, ordinal, continuous). For instance, in psychology research we often use different data types. When working datasets from real experiments we need a method to group data of differing types. ![]() ![]() It’s very easy to use and quite similar to the programming language R’s data frames. Pandas is a library for enabling data analysis in Python. Finally, we will also learn how to subset and group our dataframe. We will also learn how to add a column to Pandas dataframe object, and how to remove a column. More specifically, we will learn how to read and write Excel (i.e., xlsx) and CSV files using Pandas. In this Pandas tutorial we will learn how to work with Pandas dataframes.
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