PANDAS INDEX

PANDAS INDEX

Pandas Index is defined as a vital tool that selects particular rows and columns of data from a DataFrame. Its task is to organize the data and to provide fast accessing of data. It can also be called a Subset Selection.

The values are in bold font in the index, and the individual value of the index is called a label.

If we want to compare the data accessing time with and without indexing, we can use %%timeit for comparing the time required for various access-operations.

We can also define an index like an address through which any data can be accessed across the Series or DataFrame. A DataFrame is a combination of three different components, the index, columns, and the data.

Axis and axes

An axis is defined as a common terminology that refers to rows and columns, whereas axes are collection of these rows and columns.

👉CLICK BELOW SEE EXAMPLE PROGRAMS ON PANDAS INDEX👈

👉EXAMPLE PROGRAMS ON PANDAS INDEX👈