The Pandas DataFrames
A Pandas DataFrame is a labeled two-dimensional data structure and is similar in spirit to a worksheet in Google Sheets or Microsoft Excel, or a relational database table. The columns in Pandas DataFrame can be of different types. A similar concept, by the way, was invented originally in the R programming language. (For more information, refer to http://www.r-tutor.com/r-introduction/data-frame). A DataFrame can be created in the following ways:
Using another DataFrame.
Using a NumPy array or a composite of arrays that has a two-dimensional shape.
Likewise, we can create a DataFrame out of another Pandas data structure called Series. We will learn about Series in the following section.
A DataFrame can also be produced from a file, such as a CSV file.
From a dictionary of one-dimensional structures, such as one-dimensional NumPy arrays, lists, dicts, or Pandas Series.
As an example, we will use data that can be retrieved from http://www.exploredata.net/Downloads/WHO-Data-Set...
