Skip to main content

Read and write xlsx/xlst using pandas/openpyxl while preserving Excel formatting

Project description

xlPandas

Read and write Excel xlsx using pandas/openpyxl without destroying formatting.

Sometimes you have a nicely formatted worksheet, but you'd like to work with it using pandas, or perhaps you want to write data to an Excel template.

Pandas can read and write Excel files using xlrd, but treats them like csvs. xlPandas uses openpyxl to access data while preserving template formatting, macros, and other worksheet attributes.

Install

pip install xlpandas

Example

import xlpandas as xpd

# Read excel file
df = xpd.read_file('template.xlsx', skiprows=2)
print(df.columns)

# Modify dataframe
df['new_column'] = True

# Access openpyxl worksheet
sheet = df.to_sheet()
sheet.cell(1,1).value = 'title'

# From openpyxl worksheet
df = xpd.xlDataFrame(sheet)

# Write file
df.to_file('out.xlsx')

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

xlpandas-0.1.4.tar.gz (3.0 kB view details)

Uploaded Source

Built Distribution

xlpandas-0.1.4-py3-none-any.whl (4.1 kB view details)

Uploaded Python 3

File details

Details for the file xlpandas-0.1.4.tar.gz.

File metadata

  • Download URL: xlpandas-0.1.4.tar.gz
  • Upload date:
  • Size: 3.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.7

File hashes

Hashes for xlpandas-0.1.4.tar.gz
Algorithm Hash digest
SHA256 e047d99c119f3896720a925e0464e1521925bccf7cb9ba68448e63cb74a1e5c0
MD5 254fecc1889a2252bd056d785d349951
BLAKE2b-256 831fdae3a1bcd8b7fe2c7e36c22b3d4331ce0e45b4ea3f95965189baed2d64b3

See more details on using hashes here.

File details

Details for the file xlpandas-0.1.4-py3-none-any.whl.

File metadata

  • Download URL: xlpandas-0.1.4-py3-none-any.whl
  • Upload date:
  • Size: 4.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.7

File hashes

Hashes for xlpandas-0.1.4-py3-none-any.whl
Algorithm Hash digest
SHA256 d27c6d475feca524bef2634183f3ccea2d00c34fca2dd75aec1f04512f7d51b5
MD5 b3b2099977f050421e7c898772dcf30e
BLAKE2b-256 f2e19dadc1e85af6c664eb4d96b037f9e4cd519424dd454cfcb6a961c2d94448

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page