label_text=node_label) # 融合标签列 dat_plot <- data_nodename[dat_plot_temp, on="node"] # 定义stage的顺序 stage_level <- c("Region", "Cement_materials", "Current_life_cycle", "Current_status") dat_plot[, stage
bp + theme(legend.position=c(.5, .5)) # Set the "anchoring point" of the legend (bottom-left is 0,0; top-right is 1,1) # Put bottom-left corner of legend box in bottom-left corner of graph bp + theme(legend.justification=c(0,0), legend.position=c(0,0)) # Put bottom-rig...
It is also possible to position the legend inside the plotting area. Note that the numeric position below is relative to the entire area, including titles and labels, not just the plotting area. # Position legend in graph, where x,y is 0,0 (bottom left) to 1,1 (top right) bp + th...
ggplot2的语法系统将数据层和美化层分开，这种理念给了学习更多的选择，你可以只学习数据层，这样大可保...
legend_data$PM25 >= 125.5 & legend_data$PM25 <= 225.4 ~ "5", legend_data$PM25 >= 225.5 ~ "6", TRUE ~ NA_character_ ) #Create plot legendplot <- ggplot(legend_data, aes(x=julian, y=AQI, fill=AQI)) + geom_tile() + scale_fill_manual( values = c("green", "yellow", "...
You can place the legend literally anywhere. To put it around the chart, use thelegend.positionoption and specifytop,right,bottom, orleft. To put it inside the plot area, specify a vector of length 2, both values going between 0 and 1 and giving the x and y coordinates. ...
library(ggplot2) theme_set( theme_classic() + theme(legend.position ="top") ) Basic barplots We start by creating a simplebarplot(namedf) using thedfdata set: f <- ggplot(df, aes(x = dose, y = len)) # Basic bar plotf + geom_col()# Change fill color and add labels at the...
aes(x=x,y=y2,color='Expected'))+labs(x="X",y="Y")+theme_new()# Convert the plot to...
A scatter plot is displayed with a legend positioned at the bottom, arranged in two rows. How to put a legend outside the plot with Pandas?, Using legend(), place a legend on the figure. The bbox_to_anchor keyword gives a great degree of control for manual legend placement. ...
+ # Use points with a fill color scale_linetype_discrete(name="Sex of payer") + xlab("Time of day") + ylab("Total bill") + # Set axis labels ggtitle("Average bill for 2 people") + # Set title theme_bw() + theme(legend.position=c(.7, .4)) # Position legend inside # This...