python for excel : python packages

Hi Xunxing2019,

it is possible to install or include Python package in Excel, including NumPy-Financial.

There are two main ways to do this:

1. Use the PyXLL add-in. PyXLL is a commercial add-in for Excel that allows you to write and run Python code directly in Excel. To use PyXLL, you first need to install the Python package on your computer. Then, you can install the PyXLL add-in from the PyXLL website. Once PyXLL is installed, you can start writing and running Python code in Excel by creating a new Excel workbook and enabling the PyXLL add-in.
   
   

2. Use the xlwings library. xlwings is an open-source library that allows you to run Python code from Excel. To use xlwings, you first need to install the Python package on your computer. Then, you can install the xlwings library using pip:
   
   

pip install xlwings

Once xlwings is installed, you can start running Python code from Excel by creating a new Excel workbook and importing the xlwings library.

Here is an example of how to use NumPy-Financial in Excel using xlwings:

import xlwings as xw

# Create a new Excel workbook
wb = xw.Book()

# Import the NumPy-Financial library
import numpy_financial as npf

# Calculate the present value of an annuity
present_value = npf.pv(rate=0.05, nper=10, pmt=100)

# Write the present value to Excel
wb.sheets[0].range('A1').value = present_value

# Save the workbook
wb.save('my_excel_file.xlsx')

Here are some additional tips for using Python packages in Excel:

• Use a Python environment manager such as Anaconda or Conda to manage your Python packages. This will make it easier to install and manage the packages you need.
• Make sure that you have the latest version of Excel installed. Excel 2016 and later versions support Python 3.
• If you are using PyXLL, make sure that you have the latest version of the add-in installed.
• If you are using xlwings, make sure that you have the latest version of the library installed.
• Test the Python packages you want to use in Excel to make sure that they are compatible and perform as expected.