convert-csv-to-xlsx
Convert csv file to excel file.
Install
pip install convert-csv-to-xlsx
Installed Command Line Utils
- convert-csv-to-xlsx
Usage
C:\Code\python-csv-to-xlsx>python convert_csv_to_xlsx.py --help
Usage: convert_csv_to_xlsx.py [OPTIONS] CSV_FILE [XLSX_FILE]
Convert csv file to xlsx file.
Usage:
convert-csv-to-xlsx test.csv test.xlsx
Options:
-d, --delimiter TEXT CSV column delimiter, default to ",".
-e, --encoding TEXT CSV file encoding, default to utf-8.
--help Show this message and exit.
Releases
v0.1.0 2020/03/30
- First release.
Metadata
Release files for convert-csv-to-xlsx 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 |
|---|---|---|---|---|
| convert-csv-to-xlsx-0.1.0.tar.gz | 2.7 kB | Without provenance | Details for convert-csv-to-xlsx-0.1.0.tar.gz |
Release files / convert-csv-to-xlsx-0.1.0.tar.gz
| Download URL | convert-csv-to-xlsx-0.1.0.tar.gz |
|---|---|
| Size | 2.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
3a9f0221efd68f8d08d5bb332571ce7c315e8f43aff006abfe1977e1d484adbc
|
|
BLAKE2b-256 checksum How to use checksums |
60ed8d3ac8c2524f954e1567998a5c13b8e263e312045d7d91e1ff202fd205fe
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.8.2
|
Security for convert-csv-to-xlsx 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.