pandas2pgfplots
Pandas2pgfplots supports plotting of data stored in pandas DataFrame objects
using pgfplots that is based on the amazing TikZ and PGF packages. The code
generated by this package can be easily included in LaTeX documents. In Jupyter
notebooks, the plots are rendered using itikz (requires working LaTeX
distribution in $PATH).
Currently, the package only supports two kinds of plots:
- scatter plots
- cactus plots
Installation
Requirements
The Python requirements and pandas2pgfplots itself can be installed from PyPI using pip by
python3 -m pip install -U pandas2pgfplots
Usage intructions
TBA
1 maintainer
Metadata
1 maintainer
Release files for pandas2pgfplots 0.2.0
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 |
|---|---|---|---|---|
| pandas2pgfplots-0.2.0.tar.gz | 5.4 kB | Without provenance | Details for pandas2pgfplots-0.2.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| pandas2pgfplots-0.2.0-py3-none-any.whl | Python 3 | none | any | Details for pandas2pgfplots-0.2.0-py3-none-any.whl |
Total release size: 12.2 kB
Release files / pandas2pgfplots-0.2.0.tar.gz
| Download URL | pandas2pgfplots-0.2.0.tar.gz |
|---|---|
| Size | 5.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
393036170a2305c517c0c79ac626b16017171780ba18574de3d847ab19fb4162
|
|
BLAKE2b-256 checksum How to use checksums |
4a63a600a1707b29360492e5b762a519d43ba5c9761fbe3f3748fb0636fddef3
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.2.0 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.8.2
|
Release files / pandas2pgfplots-0.2.0-py3-none-any.whl
| Download URL | pandas2pgfplots-0.2.0-py3-none-any.whl |
|---|---|
| Size | 6.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
5a87858442fe90459ce8b9e51a81d87eea6a9efd1c776691f8fca900a4092a76
|
|
BLAKE2b-256 checksum How to use checksums |
e9d9526a9334107530805377c606fac384ff32612c9cb50808fc20a32bde1451
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.2.0 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.8.2
|
Security for pandas2pgfplots 0.2.0
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.
