Exdata
Exdata is a Python package for exporting data to Excel (xlsx) files with a focus on flexibility, customization, and ease of use. It provides a rich set of features for creating complex Excel documents with precise control over layout and formatting. Built on top of xlsxwriter, it leverages its robust Excel file generation capabilities while providing a more intuitive and flexible interface for complex document structures.
Features
- Flexible Data Structure: Create complex layouts using nested rows and columns
- Rich Text Formatting: Support for formatted text with different styles within a single cell
- Customizable Layout: Control cell sizes, positions, and expansion behavior
- Memory Efficient: Support for both in-memory and file-based operations
Installation
pip install exdata
Quick Start
from exdata import XlsxExporter, Sheet, Row, Cell, Column
formats = {
'default': {
'border': 1,
'align': 'vcenter',
},
'header': {
'border': 1,
'align': 'center',
'valign': 'vcenter',
'bg_color': '#98D0FF',
'bold': True,
},
}
sheet = Sheet(
name='Example',
data=[
Row(
data=[
Column([
Cell('User'),
Row([
Cell('First name'),
Cell('Last name'),
]),
]),
Cell('Age'),
Column([
Cell('Contact Details'),
Row([
Cell('Email'),
Cell('Phone'),
]),
]),
],
format='header',
),
Row(data=[
Cell('John'),
Cell('Doe'),
Cell(30),
Cell('john.doe@example.com'),
Cell('+1 234-567-8901'),
]),
Row(data=[
Cell('Jane'),
Cell('Smith'),
Cell(28),
Cell('jane.smith@example.com'),
Cell('+1 234-567-8902'),
]),
Row(data=[
Cell('Bob'),
Cell('Johnson'),
Cell(35),
Cell('bob.johnson@example.com'),
Cell('+1 234-567-8903'),
]),
],
format='default',
)
exporter = XlsxExporter(sheets=[sheet], formats=formats)
with open('data_grid_example.xlsx', 'wb') as f:
f.write(exporter.export().read())
Metadata
Release files for exdata 0.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| exdata-0.1.2.tar.gz | 213.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| exdata-0.1.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 221.5 kB
Release files / exdata-0.1.2.tar.gz
| Download URL | exdata-0.1.2.tar.gz |
|---|---|
| Size | 213.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
6cbdabe3347e744ba3011fc26664c5d639c8e2e37941cdb690752d32e1dfcdd8
|
|
BLAKE2b-256 checksum How to use checksums |
1af3837ed973dff08f42b5fa5618c73234495032d1d371abb26b87051cc7375e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Provenance
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Signed by GitHub Actions, verified by PyPI on Jan 15, 2026.
Transparency logRelease files / exdata-0.1.2-py3-none-any.whl
| Download URL | exdata-0.1.2-py3-none-any.whl |
|---|---|
| Size | 7.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
fe4371bcd6faf7fe9ffca95342f00ca60a2e289ab5ac744b03f5d21d0c425612
|
|
BLAKE2b-256 checksum How to use checksums |
f3a01c7150ce4466ca29b56d4ac4bda8e6d570327ccda3b6d450d345cc2455c6
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
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 Jan 15, 2026.
Transparency log