This guide assumes you have xlwings already installed. If that’s not the case, head over to Installation.
Interact with Excel from Python¶
Writing/reading values to/from Excel and adding a chart is as easy as:
>>> import xlwings as xw >>> wb = xw.Workbook() # Creates a connection with a new workbook >>> xw.Range('A1').value = 'Foo 1' >>> xw.Range('A1').value 'Foo 1' >>> xw.Range('A1').value = [['Foo 1', 'Foo 2', 'Foo 3'], [10.0, 20.0, 30.0]] >>> xw.Range('A1').table.value # or: Range('A1:C2').value [['Foo 1', 'Foo 2', 'Foo 3'], [10.0, 20.0, 30.0]] >>> xw.Sheet(1).name 'Sheet1' >>> chart = xw.Chart.add(source_data=xw.Range('A1').table)
The Range and Chart objects as used above will refer to the active sheet of the current Workbook
wb. Include the
Sheet name like this:
xw.Range('Sheet1', 'A1:C3').value xw.Range(1, (1,1), (3,3)).value # index notation xw.Chart.add('Sheet1', source_data=xw.Range('Sheet1', 'A1').table)
Qualify the Workbook additionally like this:
xw.Range('Sheet1', 'A1', wkb=wb).value xw.Chart.add('Sheet1', wkb=wb, source_data=xw.Range('Sheet1', 'A1', wkb=wb).table) xw.Sheet(1, wkb=wb).name
or simply set the current workbook first:
wb.set_current() xw.Range('Sheet1', 'A1').value xw.Chart.add('Sheet1', source_data=xw.Range('Sheet1', 'A1').table) xw.Sheet(1).name
These commands also work seamlessly with NumPy arrays and Pandas DataFrames, see Working with Data Structures for details.
Matplotlib figures can be shown as pictures in Excel:
import matplotlib.pyplot as plt fig = plt.figure() plt.plot([1, 2, 3, 4, 5]) plot = xw.Plot(fig) plot.show('Plot1')
Call Python from Excel¶
If, for example, you want to fill your spreadsheet with standard normally distributed random numbers, your VBA code is just one line:
Sub RandomNumbers() RunPython ("import mymodule; mymodule.rand_numbers()") End Sub
This essentially hands over control to
import numpy as np from xlwings import Workbook, Range def rand_numbers(): """ produces standard normally distributed random numbers with shape (n,n)""" wb = Workbook.caller() # Creates a reference to the calling Excel file n = int(Range('Sheet1', 'B1').value) # Write desired dimensions into Cell B1 rand_num = np.random.randn(n, n) Range('Sheet1', 'C3').value = rand_num
To make this run, just import the VBA module
xlwings.bas in the VBA editor (Open the VBA editor with
then go to
File > Import File... and import the
xlwings.bas file. ). It can be found in the directory of
Always instantiate the
Workbook within the function that is called from Excel and not outside as global
For further details, see VBA: Calling Python from Excel.
User Defined Functions (UDFs) - Currently Windows only¶
Writing a UDF in Python is as easy as:
from xlwings import xlfunc @xlfunc def double_sum(x, y): """Returns twice the sum of the two arguments""" return 2 * (x + y)
For further details, see User Defined Functions (UDFs).
Deployment is really the part where xlwings shines:
- Just zip-up your Spreadsheet with your Python code and send it around. The receiver only needs to have an installation of Python with xlwings (and obviously all the other packages you’re using).
- There is no need to install any Excel add-in.