Now that we have a better understanding of tabular data and we have provided some background about panel data and the origins of why the pandas library was created, let's dive into some examples using pandas and explain how DataFrames are used.
The pandas library is a powerful Python library used for changing and analyzing data. A pandas DataFrame is a feature available in the library and is defined as a two-dimensional, size-mutable, potentially heterogeneous tabular data structure with labeled axes (rows and columns). A DataFrame is a two-dimensional data structure—that is, data is aligned in a tabular fashion in rows and columns. It is commonly known that pandas DataFrame consists of three principal components: the data, the rows, and the columns. Being a visual learner myself, I created an example of this with the following diagram, which we can go through now:
DataFrames...
