Python Pandas Tutorial

Python Pandas Data Structure The Pandas provides two data structures for processing the data, Series and DataFrame 1. Series It is defined as a one-dimensional array that is capable of storing various data types. The row labels of series are called the index. We can easily convert the list, tuple, and dictionary into series import pandas as pd import numpy as np info = np.array(['K','E','E','N','I','N','F','O','T','E','C','H',]) a = pd.Series(info) print(a)

Key Features of Pandas It has a fast and efficient DataFrame object with the default and customized indexing. Used for reshaping and pivoting of the data sets. Group by data for aggregations and transformations

Python Pandas Introduction Pandas is defined as an open-source library that provides high-performance data manipulation in Python. The name of Pandas is derived from the word Panel Data.