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https://restlesstail.github.io/ggGenshin/
Genshin palettes for ggplot2 and Matplotlib
https://restlesstail.github.io/ggGenshin/
color ggplot2 matplotlib python r
Last synced: 2 days ago
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Genshin palettes for ggplot2 and Matplotlib
- Host: GitHub
- URL: https://restlesstail.github.io/ggGenshin/
- Owner: RestlessTail
- License: gpl-3.0
- Created: 2023-03-12T05:08:39.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2023-11-03T13:29:21.000Z (about 1 year ago)
- Last Synced: 2024-08-03T23:24:29.208Z (3 months ago)
- Topics: color, ggplot2, matplotlib, python, r
- Language: R
- Homepage: https://restlesstail.github.io/ggGenshin/
- Size: 3.88 MB
- Stars: 29
- Watchers: 1
- Forks: 5
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# ggGenshin
a collection of Genshin-styled color schemes
ggGenshin is a package inspired by ggsci and content creator 阿昆的科研日常 of bilibili. The package provides a collection palettes in the style of Genshin and has both R (ggplot2) and Python (Matplotlib) interfaces.
## TODOs
+ Balanced palette: palettes better suited for heat map and feature plot etc.
## Installation
### R
Paste the code to the R console to install ggGenshin from GitHub.
```R
devtools::install_github("RestlessTail/ggGenshin")
```
### Python
Use pip to install ggGenshinPy from GitHub:
```shell
pip install git+https://github.com/RestlessTail/ggGenshin@master-python
```
## Usage
### R
You can use `scale_color_XXX`/`scale_colour_XXX` or `scale_fill_XXX` to create a palette like in ggsci. But parameters can be somewhat different.
```R
#p is a ggplot object
print(p + scale_color_albedo())
print(p + scale_colour_albedo())
print(p + scale_fill_albedo())
```
Each palette of ggGenshin has both discrete and continuous versions. ggGenshin returns a discrete palette by default. Use `discrete = FALSE` to create a continuous palette.
```R
#p is a ggplot object
print(p + scale_color_albedo(discrete = FALSE))
print(p + scale_colour_albedo(discrete = FALSE))
print(p + scale_fill_albedo(discrete = FALSE))
```
`palette` is not available in ggGenshin. Use `alpha` to set transparency and use `reverse` to reverse the palette.
```R
#p is a ggplot object
print(p + scale_color_albedo(alpha = 0.8))
print(p + scale_colour_albedo(alpha = 0.8, reverse = TRUE))
print(p + scale_fill_albedo(alpha = 0.8))
print(p + scale_fill_albedo(alpha = 0.8, reverse = TRUE))
```
`pal_XXX` and `rgb_XXX` are also available in ggGenshin. Use the two functions to export colors.
```R
pal_albedo()(10) #create 10 colors
pal_albedo(alpha = 0.5)(10)
pal_albedo(alpha = 0.7, reverse = TRUE)(10)
rgb_albedo(10) #create 10 colors
rgb_albedo(n = 10, alpha = 0.5)
rgb_albedo(n = 10, alpha = 0.7, reverse = TRUE)
```
Use `ggGenshin::keys()` for available palettes.
```R
ggGenshin::keys()
```
### Python
Import `colormap` module of ggGenshinPy.
```python
import ggGenshinPy.colormap as ggg
```
Use `cmapXXX` method to create a Matplotlib colormap object. ggGenshinPy returns a linear segmented colormap by default. Use `listed = True` to create a listed colormap.
```python
# import Matplotlib
import matplotlib.pyplot as plt
# create a listed colormap
plt.bar(range(4), range(1, 5), color = ggg.cmapSayu(listed = True)(range(4)))
# create a linear segmented colormap
heatmapDat = ([0.3, 1.5, 6.3, 5.3], [5.3, 9.6, 2.4, 6.7], [2.5, 7.6, 4.9, 4.3], [3.4, 9.0, 6.7, 0.6], [2.2, 5.3, 4.8, 9.8])
plt.imshow(heatmapDat, cmap = ggg.cmapYoimiya())
```
Use `keys()` for available palettes.
```R
ggg.keys()
```