learn-python/contrib/pandas/excel_with_pandas.md

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:

import pandas as pd

l = pd.read_excel('example.xlsx')
d = pd.DataFrame(l)
print(d)

Output:

    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:

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:

    Name  Age
0   Bob   12
1   John  28