CSV Plot: easy and powerful plotting tool for CSV files
What is it?
CSV Plot is a tool to easily plot any CSV file, of any size, without never getting out of memory errors. (Only data which is displayed on the screen is loaded into memory.)
It works with user friendly YAML configuration files, to let you choose the layout, colors, units, legends...
CSV Plot is built on top of the amazing PyQtGraph library, which ensures a nice and smooth experience, as plotting should always be.
Installation
A already installed C compiler is needed to install csv-plot, else the installation
will fail. To know how to install a C compiler on your system, go to Installing a C
compiler section at the end of this document.
$ pip install csv-plot
Official documentation
The official documentation is hosted on Github Pages: https://nalepae.github.io/csv-plot
Installing a C compiler
On Ubuntu
$ sudo apt update && sudo apt install build-essential
On Mac OS
- Install homebrew if not already done
$ brew install gcc
On Windows
1 maintainer
Metadata
1 maintainer
Release files for csv-plot 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 | Provenance | |
|---|---|---|---|---|
| csv-plot-0.1.2.tar.gz | 27.5 kB | Without provenance | Details |
Release files / csv-plot-0.1.2.tar.gz
| Download URL | csv-plot-0.1.2.tar.gz |
|---|---|
| Size | 27.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
ba24da9ebc66b58fb1616dc09e499a2bbb030d7e9a5782119443fb4dbecaf8ee
|
|
BLAKE2b-256 checksum How to use checksums |
28b5ccfa3a6919670d822f7d2398d1540a371c5b9099ce3699942835edbc323a
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.8.6
|
Security for csv-plot 0.1.2
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.
