Skip to main content

A Python library for reading and writing Excel files

Project description

pyexcelize

Introduction

Creating formatting in Python when outputting to Excel can be tedious. Usually, you will want to write the formatting in Excel and then just output the data. It is a good idea to use OpenPyXL when working with Excel in Python. However, OpenPyXL uses a very large amount of memory. OpenPyXL is not suitable for writing data to a loaded Excel. However, there is a library in the Go language called excelize that is suitable for writing data. pyexcelize wraps Go's excelize and makes it usable.

Installation

pip install pyexcelize

Basic Usage

## Create New File
index = pe.new_file()

## Save as File
pe.save_as(index, '__tmp/test.xlsx')

## Close Workbook
pe.close(index)

## Open Exist Excel file
index = pe.open_file('./__tmp/test.xlsx')

## Create New Sheet
new_sheet = pe.new_sheet(index, 'Sheet2')

## Copy New Sheet
to_sheet = pe.copy_sheet(index, 1, new_sheet)

## Set Active Sheet
pe.set_active_sheet(index, new_sheet)

## Delete Sheet
pe.delete_sheet(index, 'Sheet1')

## Set Cell Value
pe.set_cell_int(index, "Sheet2", "A1", 1)
pe.set_cell_int(index, "Sheet2", "A2", 2)
pe.set_cell_int(index, "Sheet2", "A3", 3)
pe.set_cell_str(index, "Sheet2", "A4", "hello")

## Get Cell Value
pe.get_cell_value(index, "Sheet2", "A1")
pe.get_cell_value(index, "Sheet2", "A2")
pe.get_cell_value(index, "Sheet2", "A3")
pe.get_cell_value(index, "Sheet2", "A4")

## Get Cell Style
style_index = pe.get_cell_style(index, "Sheet2", "A1")

## Copy Cell Style
pe.set_cell_style(index, "Sheet2", "A2", "A2", style_index)

## Save Update
pe.save(index)

pe.close(index)

Stream Writer with Template xlsx.
If you don't use Stream Writer, it will use more than 2GB of memory.
Stream Writer will only consume less than 100MB of memory.

index = pe.open_file('./tests/template.xlsx')
writer_index = pe.new_stream_writer(index, "Sheet1")
headers = [
    "employee name",
    "company",
    "salary",
]
pe.set_row(writer_index, "A1", headers)
for row in range(2,500000):
    params = [
        fake.name(),
        random.choice(["Google", "Microsoft", "Apple", "Toyota", "Meta"]),
        random.randint(10000, 10000000),
    ]
    pe.set_row(writer_index, f"A{row}", params)
pe.add_table(writer_index, "A1", "C499999", dict(
    table_name="テーブル1",
    table_style="TableStyleMedium2",
    show_first_column=True,
    show_last_column=True,
    show_row_stripes=True,
    show_column_stripes=False,
))
pe.flush(writer_index)
pe.save_as(index, './__tmp/output.xlsx')
pe.close(index)

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

pyexcelize-0.2.4.tar.gz (19.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pyexcelize-0.2.4-cp39-cp39-macosx_11_0_x86_64.whl (3.4 MB view details)

Uploaded CPython 3.9macOS 11.0+ x86-64

File details

Details for the file pyexcelize-0.2.4.tar.gz.

File metadata

  • Download URL: pyexcelize-0.2.4.tar.gz
  • Upload date:
  • Size: 19.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.7

File hashes

Hashes for pyexcelize-0.2.4.tar.gz
Algorithm Hash digest
SHA256 dc5f3f3c66714a2ec2241bdab5ff81749e8a24700c4767cae371bf62f27b6ca5
MD5 6a5fa34f29f5f1f3969f5f850912e356
BLAKE2b-256 8f5a2e2b067b5263db505df9921303a8d516ba4b596aeeeb4d777d7926984287

See more details on using hashes here.

File details

Details for the file pyexcelize-0.2.4-cp39-cp39-macosx_11_0_x86_64.whl.

File metadata

  • Download URL: pyexcelize-0.2.4-cp39-cp39-macosx_11_0_x86_64.whl
  • Upload date:
  • Size: 3.4 MB
  • Tags: CPython 3.9, macOS 11.0+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.7

File hashes

Hashes for pyexcelize-0.2.4-cp39-cp39-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 70d37b977cddaeda5324ad74839bbf72b109e65333a5eb585b65543bbd7ecb16
MD5 e3ae5b4d0c1c8d175b93a71eafece1bb
BLAKE2b-256 9c4d6da5df3fd89ae4b28ec24d755bcc548f972c32e083aa2ccefb8a09182952

See more details on using hashes here.

Supported by

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