DataFrame object extends the capabilities of the
Series object into two-dimensions. A
Series object adds an index to a NumPy array but can only associate a single data item per index label, a
DataFrame integrates multiple
Series objects by aligning them along common index labels. This automatic alignment by index label provides a seamless view across all the
Series at each index label that has the appearance of a row in a table.
DataFrame object can be thought of as a dictionary-like container of one or more
Series objects, or as a spreadsheet, probably the best description for those new to pandas is to compare a
DataFrame object to a relational database table. However, even that comparison is ...