<img src=”examples/Example_scatter.png” width=”220”/> <img src=”examples/Example_scatter_biexp.png” width=”220”/> <img src=”examples/Example_contour.png” width=”250”/>
<img src=”examples/mouse_cell_density_atlas.png” width=”500”/>
# DensityPlot
A simple and standalone python plotting package for density and scatter plotting commonly used in FACS analysis.
This package was modified from [FlowCal](https://github.com/taborlab/FlowCal) package.
Check [here](https://nbviewer.jupyter.org/github/xuesoso/DensityPlot/blob/master/tutorial.ipynb) for a tutorial on usage.
Pip installation
`bash pip install DensityPlot `
Requirement
scipy >= 0.14.0
matplotlib >= 2.0.0
Modes available
scatter : A scatterplot colored by the data density. Dense regions are merged into bins. Sparse region is represented by as single dots.
mesh : 2D-histogram colored by the data density in the region
scatter_mesh : 2D-histogram with original data values plotted as dots.
contour : A contour map of the data density. Recommend setting `smooth` option as True.
1 maintainer
Metadata
1 maintainer
Release files for DensityPlot 0.1.8
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 |
|---|---|---|---|---|
| DensityPlot-0.1.8.tar.gz | 11.6 kB | Without provenance | Details for DensityPlot-0.1.8.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| DensityPlot-0.1.8-py3-none-any.whl | Python 3 | none | any | Details for DensityPlot-0.1.8-py3-none-any.whl |
Total release size: 24.4 kB
Release files / DensityPlot-0.1.8.tar.gz
| Download URL | DensityPlot-0.1.8.tar.gz |
|---|---|
| Size | 11.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
787777f01c024522b81621380df2757207c65bef7f3a1864f46e97e472a06f4b
|
|
BLAKE2b-256 checksum How to use checksums |
550ea32aeb509f3f21c068e5dac293f194890d444a47a9209004bcf9d5fa79bb
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.2.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.2.0.post20200210 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.7.6
|
Release files / DensityPlot-0.1.8-py3-none-any.whl
| Download URL | DensityPlot-0.1.8-py3-none-any.whl |
|---|---|
| Size | 12.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
1ca64a0b66d9a3086cfc5a30a4e7539478de3da739a8442da94294803ef815b1
|
|
BLAKE2b-256 checksum How to use checksums |
edd709969570db1f53819e3575ebe5169f0e70471fa55fff3e57a5c8c92da858
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.2.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.2.0.post20200210 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.7.6
|
Security for DensityPlot 0.1.8
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.
