A Simple Colormap for Matplotlib
Project description
oneblue
A Simple Colormap for Matplotlib.
Requirements
Ensure NumPy (NumPy on GitHub), and Matplotlib (Matplotlib on GitHub) is installed already before installing oneblue.
One of most simple ways to install them is installing it with conda:
$ conda install numpy matplotlib
Installation
Currently the latest version of mikutoolkit can be installed with pip as following:
$ pip install oneblue --upgrade
or from source like other packages.
Importation
To access oneblue and its functions import it in your Python code like this:
>>> from matplotlib import pyplot as plt
>>> plt.style.use("whatever_u_like_ggplot_4_instance")
>>> from oneblue import oneb1ue
>>> with plt.rc_context({ "image.cmap": oneb1ue.cmap }):
... ...
... ...
... plt.show()
Comparison with other Colormaps in Matplotlib
| Colormap Name | Nebula[^1] Likelihood-map |
IM2C 2019[^2] D-1 | SST of Yellow Sea Cold Water Mass Area at 15:00, Dec 24th, 2006 |
|---|---|---|---|
"Greys" |
|||
"Greys_r" |
|||
"Seismic" |
|||
oneblue.oneb1ue.cmap |
|||
oneblue.oneb1ue.dmap |
References
[^1]: @sleepwalking/Nebula: Zero-data (yet trainable) probabilistic fundamental frequency estimator.
[^2]: IMMC
Extra
The Colormaps are inspired by the theme colors of Hoshino-Ichika and Luo-Tianyi.
| Name | Hoshino-Ichika (Game Character) | Luo-Tianyi (Virtual Singer of VOCALOID) |
|---|---|---|
| Theme Color | #33AAEE |
#66CCFF |
| Vision |
Project details
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