Install this package:
emerge -a dev-python/mpl-scatter-density
If the package is masked, you can unmask it using the autounmask tool or standard emerge options:
autounmask dev-python/mpl-scatter-density
Or alternatively:
emerge --autounmask-write -a dev-python/mpl-scatter-density
| Version | EAPI | Keywords | Slot |
|---|---|---|---|
| 0.8 | 8 | ~amd64 ~x86 | 0 |
<pkgmetadata> <maintainer type="person"> <email>universebenzene@sina.com</email> <name>Astro Benzene</name> </maintainer> <longdescription lang="en"> The mpl-scatter-density mini-package provides functionality to make it easy to make your own scatter density maps, both for interactive and non-interactive use. Fast. The following animation shows real-time interactive use with 10 million points, but interactive performance is still good even with 100 million points (and more if you have enough RAM). </longdescription> <upstream> <remote-id type="pypi">mpl-scatter-density</remote-id> <remote-id type="github">astrofrog/mpl-scatter-density</remote-id> </upstream> </pkgmetadata>
Manage flags for this package:
euse -i <flag> -p dev-python/mpl-scatter-density |
euse -E <flag> -p dev-python/mpl-scatter-density |
euse -D <flag> -p dev-python/mpl-scatter-density
| Flag | Description | 0.8 |
|---|---|---|
| examples | Build examples in documentation which needs online data. ⚠️ | ✓ |
| Type | File | Size | Versions |
|---|
| Type | File | Size |
|---|---|---|
| AUX | mpl-scatter-density-0.8-test-fix-new-matplotlib-qt6.patch | 1571 bytes |
| AUX | mpl-scatter-density-0.8-test-fix-new-matplotlib.patch | 1225 bytes |
| DIST | mpl_scatter_density-0.8.tar.gz | 5216767 bytes |
| EBUILD | mpl-scatter-density-0.8.ebuild | 1079 bytes |
| MISC | metadata.xml | 817 bytes |