pandasxl
pandasxl provides convenience functions for reading data from Excel files into a pandas DataFrame.
Installation
...
Usage
For example, to read a table from an Excel file into a DataFrame:
import openpyxl
import pandasxl as pdxl
wb = openpyxl.load_workbook('file.xlsx')
df = pdxl.read.from_name(wb, 'table_name')
API
Public API of the pandasxl package.
Read
The read module contains the core functions for reading data from Excel files.
read.from_name(wb: openpyxl.Workbook, name: str, header: bool) -> pd.DataFrame
Read an Excel named range or table into a DataFrame.
read.from_reference(wb: openpyxl.Workbook, ref: str) -> pd.DataFrame
Read an Excel range reference into a DataFrame.
1 maintainer
Metadata
1 maintainer
Release files for pandasxl 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| pandasxl-0.1.0.tar.gz | 3.7 kB | Without provenance | Details for pandasxl-0.1.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| pandasxl-0.1.0-py3-none-any.whl | Python 3 | none | any | Details for pandasxl-0.1.0-py3-none-any.whl |
Total release size: 7.4 kB
Release files / pandasxl-0.1.0.tar.gz
| Download URL | pandasxl-0.1.0.tar.gz |
|---|---|
| Size | 3.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
52455a10e01bca28f2a6016d9973ec1cf7c699645205410cb0fee9263a103fe0
|
|
BLAKE2b-256 checksum How to use checksums |
904208068d428c24509954ec69d396d2bfdcd619e26c0452e760f999d1afb8d0
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/5.0.0 CPython/3.12.3
|
Release files / pandasxl-0.1.0-py3-none-any.whl
| Download URL | pandasxl-0.1.0-py3-none-any.whl |
|---|---|
| Size | 3.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
502346851436c37a4f647d0ee81b18c9b5ef5370faf5b2ed01bc302a72436f51
|
|
BLAKE2b-256 checksum How to use checksums |
e13fc51fb03e22767461b73aeadc343bc1e6a83e50ef4f1e8bde8e02abe6c2dc
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/5.0.0 CPython/3.12.3
|
Security for pandasxl 0.1.0
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.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
