Skip to main content

PyExcelerate

Accelerated Excel XLSX writing library for Python

master: build-status-master dev: build-status-dev test coverage: coverage-status

Description

PyExcelerate is a Python for writing Excel-compatible XLSX spreadsheet files, with an emphasis on speed.

Benchmarks

Benchmark code located in pyexcelerate/tests/benchmark.py
Ubuntu 12.04 LTS, Core i5-3450, 8GB DDR3, Python 2.7.3
|          TEST_NAME          | NUM_ROWS | NUM_COLS | TIME_IN_SECONDS |
|-----------------------------|----------|----------|-----------------|
| pyexcelerate value fastest  |     1000 |      100 |            0.47 |
| pyexcelerate value faster   |     1000 |      100 |            0.51 |
| pyexcelerate value fast     |     1000 |      100 |            1.53 |
| xlsxwriter value            |     1000 |      100 |            0.84 |
| openpyxl                    |     1000 |      100 |            2.74 |
| pyexcelerate style cheating |     1000 |      100 |            1.23 |
| pyexcelerate style fastest  |     1000 |      100 |            2.40 |
| pyexcelerate style faster   |     1000 |      100 |            2.75 |
| pyexcelerate style fast     |     1000 |      100 |            6.15 |
| xlsxwriter style cheating   |     1000 |      100 |            1.21 |
| xlsxwriter style            |     1000 |      100 |            4.85 |
| openpyxl                    |     1000 |      100 |            6.32 |

 * cheating refers to pregeneration of styles

Installation

PyExcelerate is supported on Python 2.6, 2.7, 3.3, 3,4, and 3.5.

pip install pyexcelerate

Usage

Writing bulk data

Fastest

from pyexcelerate import Workbook

data = [[1, 2, 3], [4, 5, 6], [7, 8, 9]] # data is a 2D array

wb = Workbook()
wb.new_sheet("sheet name", data=data)
wb.save("output.xlsx")

Writing bulk data to a range

PyExcelerate also permits you to write data to ranges directly, which is faster than writing cell-by-cell.

Fastest

from pyexcelerate import Workbook

wb = Workbook()
ws = wb.new_sheet("test")
ws.range("B2", "C3").value = [[1, 2], [3, 4]]
wb.save("output.xlsx")

Writing cell data

Faster

from datetime import datetime
from pyexcelerate import Workbook

wb = Workbook()
ws = wb.new_sheet("sheet name")
ws.set_cell_value(1, 1, 15) # a number
ws.set_cell_value(1, 2, 20)
ws.set_cell_value(1, 3, "=SUM(A1,B1)") # a formula
ws.set_cell_value(1, 4, datetime.now()) # a date
wb.save("output.xlsx")

Fast

from datetime import datetime
from pyexcelerate import Workbook

wb = Workbook()
ws = wb.new_sheet("sheet name")
ws[1][1].value = 15 # a number
ws[1][2].value = 20
ws[1][3].value = "=SUM(A1,B1)" # a formula
ws[1][4].value = datetime.now() # a date
wb.save("output.xlsx")

Selecting cells by name

from pyexcelerate import Workbook

wb = Workbook()
ws = wb.new_sheet("sheet name")
ws.cell("A1").value = 12
wb.save("output.xlsx")

Merging cells

from pyexcelerate import Workbook

wb = Workbook()
ws = wb.new_sheet("sheet name")
ws[1][1].value = 15
ws.range("A1", "B1").merge()
wb.save("output.xlsx")

Styling cells

Styling cells causes non-negligible overhead. It will increase your execution time (up to 10x longer if done improperly!). Only style cells if absolutely necessary.

Fastest

from pyexcelerate import Workbook, Color, Style, Font, Fill, Format
from datetime import datetime

wb = Workbook()
ws = wb.new_sheet("sheet name")
ws.set_cell_value(1, 1, 1)
ws.set_cell_style(1, 1, Style(font=Font(bold=True)))
ws.set_cell_style(1, 1, Style(font=Font(italic=True)))
ws.set_cell_style(1, 1, Style(font=Font(underline=True)))
ws.set_cell_style(1, 1, Style(font=Font(strikethrough=True)))
ws.set_cell_style(1, 1, Style(fill=Fill(background=Color(255,0,0,0))))
ws.set_cell_value(1, 2, datetime.now())
ws.set_cell_style(1, 1, Style(format=Format('mm/dd/yy')))
wb.save("output.xlsx")

Faster

from pyexcelerate import Workbook, Color
from datetime import datetime

wb = Workbook()
ws = wb.new_sheet("sheet name")
ws.set_cell_value(1, 1, 1)
ws.get_cell_style(1, 1).font.bold = True
ws.get_cell_style(1, 1).font.italic = True
ws.get_cell_style(1, 1).font.underline = True
ws.get_cell_style(1, 1).font.strikethrough = True
ws.get_cell_style(1, 1).fill.background = Color(0, 255, 0, 0)
ws.set_cell_value(1, 2, datetime.now())
ws.get_cell_style(1, 1).format.format = 'mm/dd/yy'
wb.save("output.xlsx")

Fast

from pyexcelerate import Workbook, Color
from datetime import datetime

wb = Workbook()
ws = wb.new_sheet("sheet name")
ws[1][1].value = 1
ws[1][1].style.font.bold = True
ws[1][1].style.font.italic = True
ws[1][1].style.font.underline = True
ws[1][1].style.font.strikethrough = True
ws[1][1].style.fill.background = Color(0, 255, 0, 0)
ws[1][2].value = datetime.now()
ws[1][2].style.format.format = 'mm/dd/yy'
wb.save("output.xlsx")

Note that .style.format.format’s repetition is due to planned support for conditional formatting and other related features. The formatting syntax may be improved in the future.

Styling ranges

from pyexcelerate import Workbook, Color
from datetime import datetime

wb = Workbook()
ws = wb.new_sheet("test")
ws.range("A1","C3").value = 1
ws.range("A1","C1").style.font.bold = True
ws.range("A2","C3").style.font.italic = True
ws.range("A3","C3").style.fill.background = Color(255, 0, 0, 0)
ws.range("C1","C3").style.font.strikethrough = True

Styling rows

A simpler (and faster) way to style an entire row.

Fastest

from pyexcelerate import Workbook, Color, Style, Fill
from datetime import datetime

wb = Workbook()
ws = wb.new_sheet("sheet name")
ws.set_row_style(1, Style(fill=Fill(background=Color(255,0,0,0))))
wb.save("output.xlsx")

Faster

from pyexcelerate import Workbook, Color
from datetime import datetime

wb = Workbook()
ws = wb.new_sheet("sheet name")
ws.get_row_style(1).fill.background = Color(255, 0, 0)
wb.save("output.xlsx")

Fast

from pyexcelerate import Workbook, Color
from datetime import datetime

wb = Workbook()
ws = wb.new_sheet("sheet name")
ws[1].style.fill.background = Color(255, 0, 0)
wb.save("output.xlsx")

Styling columns

Fastest

from pyexcelerate import Workbook, Color, Style, Fill
from datetime import datetime

wb = Workbook()
ws = wb.new_sheet("sheet name")
ws.set_col_style(1, Style(fill=Fill(background=Color(255,0,0,0))))
wb.save("output.xlsx")

Available style attributes

Consistent with the implementation patterns above, the following style parameters are available:

ws[1][1].style.font.bold = True
ws[1][1].style.font.italic = True
ws[1][1].style.font.underline = True
ws[1][1].style.font.strikethrough = True
ws[1][1].style.font.color = Color(255, 0, 255)
ws[1][1].style.fill.background = Color(0, 255, 0)
ws[1][1].style.alignment.vertical = 'top'
ws[1][1].style.alignment.horizontal = 'right'
ws[1][1].style.alignment.rotation = 90
ws[1][1].style.alignment.wrap_text = True
ws[1][1].style.borders.top.color = Color(255, 0, 0)
ws[1][1].style.borders.right.style = '-.'

Each attribute also has constructors for implementing via set_cell_style().

The following border styles are available: .-, ..-, --, .., =, ., medium -., medium -.., medium --, /-., _

Setting row heights and column widths

Row heights and column widths are set using the size attribute in Style. Appropriate values are: * -1 for auto-fit * 0 for hidden * Any other value for the appropriate size.

For example, to hide column B:

from pyexcelerate import Workbook, Color, Style, Fill
from datetime import datetime

wb = Workbook()
ws = wb.new_sheet("sheet name")
ws.set_col_style(2, Style(size=0))
wb.save("output.xlsx")

Linked styles

PyExcelerate supports using style objects instead manually setting each attribute as well. This permits you to modify the style at a later time.

from pyexcelerate import Workbook, Font

wb = Workbook()
ws = wb.new_sheet("sheet name")
ws[1][1].value = 1
font = Font(bold=True, italic=True, underline=True, strikethrough=True)
ws[1][1].style.font = font
wb.save("output.xlsx")

Hidden sheet

PyExcelerate supports adding hidden sheets. Note that the first sheet cannot be hidden.

from pyexcelerate import Workbook

wb = Workbook()
ws = wb.new_sheet("visible sheet")
ws = wb.new_sheet("hidden sheet", hidden=True)
wb.save("output.xlsx")

Packaging with PyInstaller

PyInstaller is the only packager officially supported by PyExcelerate. Copy hook-pyexcelerate.Writer.py to your PyInstaller hooks directory.

Support

Please use the GitHub Issue Tracker and pull request system to report bugs/issues and submit improvements/changes, respectively. Pull requests *must* be based against the dev branch - if not, we will reject the PR and ask you to rebase against the correct branch. All nontrivial changes to code should be accompanied by a test when appropriate. We use the Nose testing framework.

Release files for PyExcelerate 0.13.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for PyExcelerate 0.13.0
File Size Uploaded
pyexcelerate-0.13.0.tar.gz 29.6 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for PyExcelerate 0.13.0
File Interpreter ABI Platform
pyexcelerate-0.13.0-py3-none-any.whl Python 3 none any Details

Total release size: 58.6 kB

Release files / pyexcelerate-0.13.0.tar.gz

Download URL pyexcelerate-0.13.0.tar.gz
Size 29.6 kB
Tags Source
SHA-256 checksum
How to use checksums
a3d20c9aa3cf6685603efa16259d44a18165f3544597cb8cb2b486c58ca14b37
BLAKE2b-256 checksum
How to use checksums
fb4984f7812fb47ebe6b16cc4b36759576d99f8779affe37753cdd59b0c9bcf9
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.12.9

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on May 23, 2025.

Transparency log

Release files / pyexcelerate-0.13.0-py3-none-any.whl

Download URL pyexcelerate-0.13.0-py3-none-any.whl
Size 29.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
c78be1d45a35e1b3db75d1d229b7fd36a76829a8dda05b66336cd1b46565634b
BLAKE2b-256 checksum
How to use checksums
6af8ee05eeb3b865f3bb46816493e89289acbe48f2b3cb9f81fef78862c97ea7
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.12.9

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on May 23, 2025.

Transparency log

Release history Release notifications | RSS feed

This release

0.13.0 This release

2 release files

0.12.0

3 release files

0.11.0

2 release files

0.10.0

2 release files

0.9.0

2 release files

0.8.0

2 release files

0.7.3

2 release files

0.7.2

2 release files

0.7.1

1 release file

0.7.0

1 release file

0.6.7

3 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page