5.4 Reading and Manipulating Data with pandas
In the previous sections, we showed how to explicitly read files line by line, and how to extract a column’s data value as a list. This was important to illustrate for educational purposes. In practice, though, professionals (like data scientists) using large data sets typically use a Python package called pandas to read and manipulate data. In this section, we will discuss how to use the popular pandas library to do what we just did in the previous sections. If you are working with Jupyter Notebook, you already have pandas installed. If not, you may want to install pandas (see Appendix A for instructions).
5.4.1 pandas Data Structures
Pandas stores data in a two-dimensional tabular form called ...
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