R 使用ggplot2将垂直偏移添加到堆叠柱打印
我有几个表示钻井剖面的堆叠柱形图。我想偏移每个钻孔的y位置,以表示地面上的实际高度 我的数据如下所示:R 使用ggplot2将垂直偏移添加到堆叠柱打印,r,ggplot2,bar-chart,offset,column-chart,R,Ggplot2,Bar Chart,Offset,Column Chart,我有几个表示钻井剖面的堆叠柱形图。我想偏移每个钻孔的y位置,以表示地面上的实际高度 我的数据如下所示: x layer.thickness layer.depth Petrography BSCategory Offset 0 0.2 0.2 silt Drilling1 0 0 1.0 1.2 gravel Drilling1 0 0
x layer.thickness layer.depth Petrography BSCategory Offset
0 0.2 0.2 silt Drilling1 0
0 1.0 1.2 gravel Drilling1 0
0 3.0 4.2 silt Drilling1 0
4 0.4 0.4 silt Drilling2 -1
4 0.8 1.2 gravel Drilling2 -1
4 2.0 3.2 sand Drilling2 -1
df <- data.frame(x=c(0,0,0,4,4,4), layer.thickness = c(0.2,1.0,3.0,0.4,0.8,2.0),
layer.depth = c(0.2,1.2,4.2,0.4,1.2,3.2),
Petrography = c("silt", "gravel", "silt", "silt", "gravel", "sand"),
BSCategory = c("Drilling1","Drilling1","Drilling1","Drilling2","Drilling2","Drilling2"),
Offset = c(0,0,0,-1,-1,-1))
# provide a numeric ID that stops grouping individual petrography items
df <- transform(df,ix=as.numeric(factor(df$BSCategory)));
drilling <- ggplot(data = df, aes(x = x, y = layer.thickness, group = ix, fill = Petrography)) +
theme_minimal() +
theme(axis.line = element_line(colour = "black"),
panel.grid.major = element_blank(),
panel.grid.minor = element_blank(),
panel.border = element_blank(),
panel.background = element_blank(),
axis.line.x = element_blank(),
axis.ticks.y = element_line(),
aspect.ratio=1) +
geom_col(position = position_stack(reverse = TRUE), width= .15,color="black") +
scale_y_reverse(expand = c(0, 0), name ="Depth [m]") +
scale_x_continuous(position = "top", breaks = df$x, labels=paste(df$BSCategory,"\n",df$x,"m"), name="") +
scale_fill_manual(values = c("gravel"='#f3e03a', "sand"= '#e09637', "silt"='#aba77d'))
print(drilling)
到目前为止,我的最低工作代码是:
x layer.thickness layer.depth Petrography BSCategory Offset
0 0.2 0.2 silt Drilling1 0
0 1.0 1.2 gravel Drilling1 0
0 3.0 4.2 silt Drilling1 0
4 0.4 0.4 silt Drilling2 -1
4 0.8 1.2 gravel Drilling2 -1
4 2.0 3.2 sand Drilling2 -1
df <- data.frame(x=c(0,0,0,4,4,4), layer.thickness = c(0.2,1.0,3.0,0.4,0.8,2.0),
layer.depth = c(0.2,1.2,4.2,0.4,1.2,3.2),
Petrography = c("silt", "gravel", "silt", "silt", "gravel", "sand"),
BSCategory = c("Drilling1","Drilling1","Drilling1","Drilling2","Drilling2","Drilling2"),
Offset = c(0,0,0,-1,-1,-1))
# provide a numeric ID that stops grouping individual petrography items
df <- transform(df,ix=as.numeric(factor(df$BSCategory)));
drilling <- ggplot(data = df, aes(x = x, y = layer.thickness, group = ix, fill = Petrography)) +
theme_minimal() +
theme(axis.line = element_line(colour = "black"),
panel.grid.major = element_blank(),
panel.grid.minor = element_blank(),
panel.border = element_blank(),
panel.background = element_blank(),
axis.line.x = element_blank(),
axis.ticks.y = element_line(),
aspect.ratio=1) +
geom_col(position = position_stack(reverse = TRUE), width= .15,color="black") +
scale_y_reverse(expand = c(0, 0), name ="Depth [m]") +
scale_x_continuous(position = "top", breaks = df$x, labels=paste(df$BSCategory,"\n",df$x,"m"), name="") +
scale_fill_manual(values = c("gravel"='#f3e03a', "sand"= '#e09637', "silt"='#aba77d'))
print(drilling)
df在这里使用geom_rect
可能更容易(条形图定位在/应该定位在零)。首先,我们需要计算每个样本的y
开始和结束位置:
library(data.table)
setDT(df)[ , `:=`(start = start <- c(Offset[1] + c(0, cumsum(head(layer.thickness, -1)))),
end = start + layer.thickness), by = BSCategory]
或者,可以使用geom_段
geom_段
没有填充
aes
,因此我们需要更改为颜色
:
ggplot(data = df, aes(x = x, xend = x, y = start, yend = end, color = Petrography, group = ix)) +
geom_segment(size = 5) +
scale_y_reverse(expand = c(0, 0), name ="Depth [m]") +
scale_x_continuous(position = "top", breaks = df$x, labels = paste(df$BSCategory,"\n", df$x, "m"), name = "") +
scale_color_manual(values = c("gravel" = '#f3e03a', "sand" = '#e09637', "silt" = '#aba77d')) +
theme_classic() +
theme(axis.line.x = element_blank(),
axis.ticks.x = element_blank())
要添加边框,请参阅。非常好,再次感谢!仅针对其他人:我添加了两个额外的geom_段
来创建黑色边框,如我问题中的图像所示:geom_段(aes(x=(x),xend=(x),y=start-0.014,yend=end+0.014),size=drill_width+1,color=“black”)+geom_段(size=drill_width)+geom_段(size=drill_width,color=“black”,aes(y=start-0.014,yend=start,x=x,xend=x))+…