# Pandas DataFrame The Pandas DataFrame is a two-dimensional, size-mutable, and possibly heterogeneous tabular data format with labelled axes. A data frame is a two-dimensional data structure in which the data can be organised in rows and columns. Pandas DataFrames are comprised of three main components: data, rows, and columns. In the real world, Pandas DataFrames are formed by importing datasets from existing storage, which can be a Excel file, a SQL database or CSV file. Pandas DataFrames may be constructed from lists, dictionaries, or lists of dictionaries, etc. ### Installation of libraries `pip install pandas` `pip install xlrd` Example for reading data from an Excel File: ```python import pandas as pd l = pd.read_excel('example.xlsx') d = pd.DataFrame(l) print(d) ``` Output: ```python Name Age 0 John 12 ``` - **Note:** The above program can also be used for loading/retrieving the data. Example for Inserting Data into Excel File: ```python import pandas as pd l = pd.read_excel('file_name.xlsx') d = {'Name': ['Bob', 'John'], 'Age': [12, 28]} d = pd.DataFrame(d) L = pd.concat([l, d], ignore_index = True) L.to_excel('file_name.xlsx', index = False) print(L) ``` Output: ```python Name Age 0 Bob 12 1 John 28 ```