This is a pre-production deployment of Warehouse, however changes made here WILL affect the production instance of PyPI.
Latest Version Dependencies status unknown Test status unknown Test coverage unknown
Project Description

Accelerated Excel XLSX writing library for Python

master: dev: test coverage:

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
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")

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 History

Release History

0.7.1

This version

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

Show More

0.7.0

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

Show More

0.6.7

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

Show More

Download Files

Download Files

TODO: Brief introduction on what you do with files - including link to relevant help section.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
PyExcelerate-0.7.1.tar.gz (23.0 kB) Copy SHA256 Checksum SHA256 Source Aug 5, 2016

Supported By

WebFaction WebFaction Technical Writing Elastic Elastic Search Pingdom Pingdom Monitoring Dyn Dyn DNS Sentry Sentry Error Logging CloudAMQP CloudAMQP RabbitMQ Heroku Heroku PaaS Kabu Creative Kabu Creative UX & Design Fastly Fastly CDN DigiCert DigiCert EV Certificate Rackspace Rackspace Cloud Servers DreamHost DreamHost Log Hosting