This guide assumes you have xlwings already installed. If that’s not the case, head over to Installation.

1. Scripting: Automate/interact with Excel from Python

Establish a connection to a workbook:

>>> import xlwings as xw
>>> wb = xw.Book()  # this will create a new workbook
>>> wb = xw.Book('FileName.xlsx')  # connect to an existing file in the current working directory
>>> wb = xw.Book(r'C:\path\to\file.xlsx')  # on Windows: use raw strings to escape backslashes

If you have the same file open in two instances of Excel, you need to fully qualify it and include the app instance:

>>> xw.apps[0].books['FileName.xlsx']

Instantiate a sheet object:

>>> sht = wb.sheets['Sheet1']

Reading/writing values to/from ranges is as easy as:

>>> sht.range('A1').value = 'Foo 1'
>>> sht.range('A1').value
'Foo 1'

There are many convenience features available, e.g. Range expanding:

>>> sht.range('A1').value = [['Foo 1', 'Foo 2', 'Foo 3'], [10.0, 20.0, 30.0]]
>>> sht.range('A1').expand().value
[['Foo 1', 'Foo 2', 'Foo 3'], [10.0, 20.0, 30.0]]

Powerful converters handle most data types of interest, including Numpy arrays and Pandas DataFrames in both directions:

>>> import pandas as pd
>>> df = pd.DataFrame([[1,2], [3,4]], columns=['a', 'b'])
>>> sht.range('A1').value = df
>>> sht.range('A1').options(pd.DataFrame, expand='table').value
       a    b
0.0  1.0  2.0
1.0  3.0  4.0

Matplotlib figures can be shown as pictures in Excel:

>>> import matplotlib.pyplot as plt
>>> fig = plt.figure()
>>> plt.plot([1, 2, 3, 4, 5])
[<matplotlib.lines.Line2D at 0x1071706a0>]
>>> sht.pictures.add(fig, name='MyPlot', update=True)
<Picture 'MyPlot' in <Sheet [Workbook4]Sheet1>>

Shortcut for the active sheet: xw.Range

If you want to quickly talk to the active sheet in the active workbook, you don’t need instantiate a workbook and sheet object, but can simply do:

>>> import xlwings as xw
>>> xw.Range('A1').value = 'Foo'
>>> xw.Range('A1').value

Note: You should only use xw.Range when interacting with Excel. In scripts, you should always go via book and sheet objects as shown above.

2. Macros: Call Python from Excel

You can call Python functions from VBA using the RunPython function:

Sub HelloWorld()
    RunPython ("import hello; hello.world()")
End Sub

Per default, RunPython expects hello.py in the same directory as the Excel file. Refer to the calling Excel book by using xw.Book.caller:

# hello.py
import numpy as np
import xlwings as xw

def world():
    wb = xw.Book.caller()
    wb.sheets[0].range('A1').value = 'Hello World!'

To make this run, you’ll need to have the xlwings add-in installed. The easiest way to get everything set up is to use the xlwings command line client from either a command prompt on Windows or a terminal on Mac: xlwings quickstart myproject.

For details about the addin, see Add-in.

3. UDFs: User Defined Functions (Windows only)

Writing a UDF in Python is as easy as:

import xlwings as xw

def hello(name):
    return 'Hello {0}'.format(name)

Converters can be used with UDFs, too. Again a Pandas DataFrame example:

import xlwings as xw
import pandas as pd

@xw.arg('x', pd.DataFrame)
def correl2(x):
    # x arrives as DataFrame
    return x.corr()

Import this function into Excel by clicking the import button of the xlwings add-in: For further details, see VBA: User Defined Functions (UDFs).