Openpyxl is a Python library for reading and writing Excel (with extension xlsx/xlsm/xltx/xltm) files. The openpyxl module allows Python program to read and modify Excel files.,Read and Write to an excel file using Python openpyxl module,Arithmetic operations in excel file using openpyxl in Python,Reading and writing Excel files using the openpyxl module in Python
Example
#
import openpyxl module
import openpyxl
#Call a Workbook() func of openpyxl to create a new blank Workbook object
wb = openpyxl.Workbook()
# Get workbook active sheet from the active attribute
sheet = wb.active
# Cell objects also have row, column and coordinate attributes that provide
# location information
for the cell.
# The first row or column integer is 1, not 0. Cell object is created by
# using sheet object 's cell() method.
c1 = sheet.cell(row = 1, column = 1)
# writing values to cells
c1.value = "Vishesh"
c2 = sheet.cell(row = 1, column = 2)
c2.value = "Ved"
#Once have a Worksheet object, one can access a cell object by its name also
# A2 means column = 1 & row = 2.
c3 = sheet['A2']
c3.value = "Python"
# B2 means column = 2 & row = 2.
c4 = sheet['B2']
c4.value = "Programming"
#Anytime you modify the Workbook object or its sheets and cells, the #spreadsheet file will not be saved until you call the #save() workbook method.
wb.save("C:\Users\Vishesh\Desktop\demo.xlsx")Last Updated : 03 May, 2018
Output :
active sheet title: Sheet
openpyxl is a Python library to read/write Excel 2010 xlsx/xlsm/xltx/xltm files.,It was born from lack of existing library to read/write natively from Python the Office Open XML format.,openpyxl - A Python library to read/write Excel 2010 xlsx/xlsm files,Professional support for openpyxl is available from Clark Consulting & Research and Adimian. Donations to the project to support further development and maintenance are welcome.
from openpyxl
import Workbook
wb = Workbook()
# grab the active worksheet
ws = wb.active
# Data can be assigned directly to cells
ws['A1'] = 42
# Rows can also be appended
ws.append([1, 2, 3])
# Python types will automatically be converted
import datetime
ws['A2'] = datetime.datetime.now()
# Save the file
wb.save("sample.xlsx")$ pip install openpyxl
$ pip install pillow
Sometimes you might want to work with the checkout of a particular version. This may be the case if bugs have been fixed but a release has not yet been made.
$ pip install - e hg + https: //foss.heptapod.net/openpyxl/openpyxl/@3.0#egg=openpyxlIn this tutorial we work with xlsx files. The xlsx is a file extension for an open XML spreadsheet file format used by Microsoft Excel. The xlsm files support macros. The xls format is a proprietary binary format while xlsx is based on Office Open XML format.
$ pip install openpyxl
#!/usr/bin/python
from openpyxl
import Workbook
import time
book = Workbook()
sheet = book.active
sheet['A1'] = 56
sheet['A2'] = 43
now = time.strftime("%x")
sheet['A3'] = now
book.save("sample.xlsx")In the example, we create a new xlsx file. We write data into three cells.
from openpyxl
import WorkbookA new workbook is created. A workbook is always created with at least one worksheet.
sheet = book.active
We get the reference to the active sheet with active property.
sheet['A1'] = 56
sheet['A2'] = 43Openpyxl is a Python library for reading and writing Excel (with extension xlsx/xlsm/xltx/xltm) files. The openpyxl module allows Python program to read and modify Excel files.,For example, user might have to go through thousands of rows and pick out few handful information to make small changes based on some criteria. Using Openpyxl module, these tasks can be done very efficiently and easily.,Prerequisite : Reading an excel file using openpyxl ,Let’s see how to create and write to an excel-sheet using Python.
active sheet title: Sheet
Output :
sheet name is renamed as: sheet1
Working with Excel files in Python is not that much hard as you might think. In this tutorial, we are going to learn how to create, read and modify .xlsx files using python.,We have seen different methods which can be used while working with xlsx files using Python. If you want to explore more methods available in the openpyxl module, then you can try them using the dir() method to get information about all methods of openpyxl module.,We will need a module called openpyxl which is used to read, create and work with .xlsx files in python. There are some other modules like xlsxwriter, xlrd, xlwt, etc., but, they don't have methods for performing all the operations on excel files. To install the openpyxl module run the following command in command line:,We can't modify the existing xlsx file using the openpyxl module but we can read data from it.
We will need a module called openpyxl which is used to read, create and work with .xlsx files in python. There are some other modules like xlsxwriter, xlrd, xlwt, etc., but, they don't have methods for performing all the operations on excel files. To install the openpyxl module run the following command in command line:
pip install openpyxl
Let's see what all operations one can perform using the openpyxl module after importing the module in our code, which is simple:
import openpyxlIn this program, we are going to create a new .xlsx file.
import openpyxl
# # CREATING XLSX FILE
# # initializing the xlsx
xlsx = openpyxl.Workbook()
# # creating an active sheet to enter data
sheet = xlsx.active
# # entering data into the A1 and B1 cells in the sheet
sheet['A1'] = 'Studytonight'
sheet['B1'] = 'A Programming Site'
# # saving the xlsx file using 'save'
method
xlsx.save('sample.xlsx')The append() method is used to append the data to any cell. Here is an example:
import openpyxl
# # initializing the xlsx
xlsx = openpyxl.Workbook()
# # creating an active sheet to enter data
sheet = xlsx.active
# # creating data to append
data = [
[1, 2, 3],
[4, 5, 6],
[7, 8, 9],
[10, 11, 12]
]
# # appending row by row to the sheet
for row in data:
# # append method is used to append the data to a cell
sheet.append(row)
# # saving the xlsx file using 'save'
method
xlsx.save('appending.xlsx')We are now going to learn how to read data from a cell in a xlsx file. We will use the previously created .xlsx file to read data from the cell.
import openpyxl
# # opening the previously created xlsx file using 'load_workbook()'
method
xlsx = openpyxl.load_workbook('sample.xlsx')
# # getting the sheet to active
sheet = xlsx.active
# # getting the reference of the cells which we want to get the data from
name = sheet['A1']
tag = sheet.cell(row = 1, column = 2)
# # printing the values of cells
print(name.value)
print(tag.value)Updated date Feb 24, 2022
- Step One is to import the ‘openpyxl’ module.
- Step two is to define the data.
- Step three is adding the data to the active sheet
- Step five is to save the file.
import openpyxl
from openpyxl
import Workbook
wb = Workbook()
ws = wb.active
data = [
['USA', 10],
['UK', 9],
['Germany', 5],
['China', 4],
['France', 3]
]
for row in data:
ws.append(row)
wb.save(filename = "AI_Development.xlsx")- Step One is to import load_workbook class
- Get the sheet and fetch the cell values (A / B)
- Iterate through the rows and columns
from openpyxl
import load_workbook
file = load_workbook('AI_Development.xlsx')
print(file.sheetnames)
data = file['Sheet']
for row in data:
for cell in row:
print(cell.value)In this section, the article covers creating the Doughnut chart using Openpyxl, the process is very similar, after appending the data to the sheet. We need to instantiate the Doughnut object and provide the references and titles from the data, set style, and save the file.
import openpyxl
from openpyxl.chart
import DoughnutChart, Reference
wb = Workbook()
ws = wb.active
data = [
['USA', 10],
['UK', 9],
['Germany', 5],
['China', 4],
['France', 3]
]
for row in data:
ws.append(row)
chart = DoughnutChart()
labels = Reference(ws, min_col = 1, min_row = 2, max_row = 5)
data = Reference(ws, min_col = 2, min_row = 1, max_row = 5)
chart.add_data(data, titles_from_data = True)
chart.set_categories(labels)
chart.title = "AI Ranking"
chart.style = 26
ws.add_chart(chart, "E4")
wb.save("doughnut_chart.xlsx")