Pandas - Series
Introduction Python is a really powerful language and any piece of software like web application, windows application, ML model etc can be built using Python. Prior to Pandas, Python was majorly used for data munging and preparation. It had a very little contribution towards data analysis. Pandas solved this problem. Using Pandas, we can accomplish five typical steps in the processing and analysis of data, regardless of the origin of data — load, prepare, manipulate, model, and analyze. Python with Pandas is used in a wide range of fields including academic and commercial domains including finance, economics, Statistics, analytics, etc. This blog provides code for basic usage of Series Data Type in Pandas. Data types in Pandas Series : 1D,labeled homogeneous array, size immutable. Data Frames : General 2D labeled, size-mutable tabular structure with potentially heterogeneously typed columns Panel : General 3D labeled, size-mutable array. ...