Excelize
by @xuri
Use when you need to reading and writing Microsoft Excel™ (XLAM / XLSM / XLSX / XLTM / XLTX) spreadsheets.
clawhub install excelize📖 About This Skill
name: excelize description: Use when you need to reading and writing Microsoft Excel™ (XLAM / XLSM / XLSX / XLTM / XLTX) spreadsheets.
Description
Package excelize-py is a Python port of Go Excelize library, providing a set of functions that allow you to write and read from XLAM / XLSM / XLSX / XLTM / XLTX files. Supports reading and writing spreadsheet documents generated by Microsoft Excel™ 2007 and later. Supports complex components by high compatibility, and provided streaming API for generating or reading data from a worksheet with huge amounts of data. This library needs Python version 3.9 or later. The full API docs can be found at docs reference.
Basic Usage
Installation
pip install excelize
Create spreadsheet
Here is a minimal example usage that will create spreadsheet file.
import excelizef = excelize.new_file()
try:
# Create a new sheet.
index = f.new_sheet("Sheet2")
# Set value of a cell.
f.set_cell_value("Sheet2", "A2", "Hello world.")
f.set_cell_value("Sheet1", "B2", 100)
# Set active sheet of the workbook.
f.set_active_sheet(index)
# Save spreadsheet by the given path.
f.save_as("Book1.xlsx")
except (RuntimeError, TypeError) as err:
print(err)
finally:
err = f.close()
if err:
print(err)
Reading spreadsheet
The following constitutes the bare to read a spreadsheet document.
import excelizetry:
f = excelize.open_file("Book1.xlsx")
except (RuntimeError, TypeError) as err:
print(err)
exit()
try:
# Get value from cell by given worksheet name and cell reference.
cell = f.get_cell_value("Sheet1", "B2")
print(cell)
# Get all the rows in the Sheet1.
rows = f.get_rows("Sheet1")
for row in rows:
for cell in row:
print(f"{cell}\t", end="")
print()
except (RuntimeError, TypeError) as err:
print(err)
finally:
# Close the spreadsheet.
err = f.close()
if err:
print(err)
Add chart to spreadsheet file
With Excelize chart generation and management is as easy as a few lines of code. You can build charts based on data in your worksheet or generate charts without any data in your worksheet at all.

import excelizef = excelize.new_file()
data = [
[None, "Apple", "Orange", "Pear"],
["Small", 2, 3, 3],
["Normal", 5, 2, 4],
["Large", 6, 7, 8],
]
try:
for idx, row in enumerate(data):
cell = excelize.coordinates_to_cell_name(1, idx + 1, False)
f.set_sheet_row("Sheet1", cell, row)
chart = excelize.Chart(
type=excelize.ChartType.Col3DClustered,
series=[
excelize.ChartSeries(
name="Sheet1!$A$2",
categories="Sheet1!$B$1:$D$1",
values="Sheet1!$B$2:$D$2",
),
excelize.ChartSeries(
name="Sheet1!$A$3",
categories="Sheet1!$B$1:$D$1",
values="Sheet1!$B$3:$D$3",
),
excelize.ChartSeries(
name="Sheet1!$A$4",
categories="Sheet1!$B$1:$D$1",
values="Sheet1!$B$4:$D$4",
),
],
title=[excelize.RichTextRun(text="Fruit 3D Clustered Column Chart")],
)
f.add_chart("Sheet1", "E1", chart)
# Save spreadsheet by the given path.
f.save_as("Book1.xlsx")
except (RuntimeError, TypeError) as err:
print(err)
finally:
err = f.close()
if err:
print(err)
Add picture to spreadsheet file
import excelizetry:
f = excelize.open_file("Book1.xlsx")
except (RuntimeError, TypeError) as err:
print(err)
exit()
try:
# Insert a picture.
f.add_picture("Sheet1", "A2", "image.png", None)
# Insert a picture to worksheet with scaling.
f.add_picture("Sheet1", "D2", "image.jpg", excelize.GraphicOptions(
scale_x=0.5,
scale_y=0.5,
))
# Insert a picture offset in the cell with printing support.
f.add_picture("Sheet1", "H2", "image.gif", excelize.GraphicOptions(
print_object=True,
lock_aspect_ratio=False,
offset_x=15,
offset_y=10,
locked=False,
))
# Save the spreadsheet with the origin path.
f.save()
except (RuntimeError, TypeError) as err:
print(err)
finally:
# Close the spreadsheet.
err = f.close()
if err:
print(err)