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Historical Gold Silver Presyo

2025
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 1976/01/26
USD / onsa
Gold126.65
Silver389.8




1976 - 01
SMTWTFS
 123
45678910
11121314151617
18192021222324
25262728293031


Gold Historical Gold Presyo Tsart at Graph

360 araw graph ,
1 Ounce Gold=? USD
Gold Historical Gold Presyo Tsart at Graph


Silver Historical Silver Presyo ng Tsart at Graph

360 araw graph ,
1 Ounce Silver=? USD
Silver Historical Silver Presyo ng Tsart at Graph











ginto balita:
  • 色彩 | R 语言中的渐变色: viridis 包(色盲友好的颜色包 . . .
    viridisLite提供了用于在基数R生成颜色图的基函数。 该软件 包 旨在尽可能轻巧且无依赖关系,以最大程度地兼容所有R生态系统。 提供其他功能,特别是ggplot2绑定。
  • R package:viridis - 知乎
    官方定义:viridis—Default Color Maps from 'matplotlib',即matplotlib中默认的色带。 使用此包中的色带来制作漂亮的图表,可以更好地展示数据,更容易被具有色盲的人阅读,并支持灰度打印。
  • R:色盲友好的配色方案viridis - 腾讯云
    总之,viridis系列的配色对色盲会比较友好。viridis能和ggplot完美结合使用: 离散颜色可用scale_color_viridis() ;连续颜色可用scale_fill_viridis()。
  • CRAN: Package viridis
    viridis: Colorblind-Friendly Color Maps for R Color maps designed to improve graph readability for readers with common forms of color blindness and or color vision deficiency The color maps are also perceptually-uniform, both in regular form and also when converted to black-and-white for printing
  • R语言Viridis包的使用及报错 - 简书
    R语言Viridis包的使用及报错 因为Frontiers In Immunology要求提供图片的时候选择“对色盲友好”的配色,因此尝试了一下这个包。 但是非常困惑的是经常报错。
  • Viridis Colormap - 极客教程
    Viridis colormap是一种用于数据可视化的颜色映射方案。 它在科学绘图中广泛应用,特别适合用于绘制连续数据的热度图或散点图。 Viridis由一系列优美平衡的颜色构成,其特点是在黑白打印和色盲人士方面表现良好。
  • 推荐使用 Viridis:色盲友好型色彩映射库 - GitCode博客
    为此,我们向您推荐一个专为改善色盲用户阅读体验而设计的开源项目——Viridis。 该库提供了系列色彩鲜明、感知均匀且黑白打印友好的颜色映射方案。
  • sjmgarnier viridis: Colorblind-Friendly Color Maps for R - GitHub
    viridis, and its companion package viridisLite provide a series of color maps that are designed to improve graph readability for readers with common forms of color blindness and or color vision deficiency The color maps are also perceptually-uniform, both in regular form and also when converted to black-and-white for printing
  • viridis
    离散型变量 scale_color_viridis library(viridis) library(ggplot2) # 离散颜色可用scale_color_viridis() p = ggplot(mtcars, aes(wt, mpg))+ geom_point(aes(colour = factor(cyl)), size=4) + theme_bw() p + scale_color_viridis(discrete=TRUE) #默认 option="D"





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