Core components of pandas

• Series: essentially a column ((1-dimensional)
• DataFrame: a multi-dimensional table made up of a collection of Series (2-dimensional)

A Pandas Series is one dimensioned whereas a DataFrame is two dimensioned.

Series

• A Series is a one-dimensional array of indexed data
• Details: pandas series

Dataframe

• Pandas DataFrame is two-dimensional tabular data structure with labeled axes (rows and columns)
• A Data frame is a two-dimensional data structure, i.e., data is aligned in a tabular fashion in rows and columns
• DataFrame is similar to table (rows & columns)
• DataFrames allow you to store and manipulate tabular data in rows of observations and columns of variables
• DataFrames make manipulating your data easy, from selecting or replacing columns and indices to reshaping your data
• Features of DataFrame (Courtesy: tutorialspoint.com/python_pandas_dataframe)
  • Size – Mutable
  • Labeled axes (rows and columns)
  • Potentially columns are of different types
  • Can Perform Arithmetic operations on rows and columns

Pandas DataFrame is a two-dimensional tabular data structure with labeled axes (rows and columns). Similar to Excel sheet.

Details: Pandas Dataframe