aesthetics

来源： https://stackoverflow.com/questions/53566715/cant-set-both-scale-size-continuous-and-scale-size-ggplot

问题 I want to add a legend to one of my plots, but I have different aesthetics and I never created a legend so I find it very difficult to determine how to build it. One of my aesthetics is a fill code, which I added manually as a vector. The other aesthetic is a vertical line that I added with geom_vline. From the graph below, there are three characteristics that I want to add to the legend: 1) The bars with color dark blue, 2) The bars with color light blue and 3) The vertical line. Does anyone

问题 I want to add a legend to one of my plots, but I have different aesthetics and I never created a legend so I find it very difficult to determine how to build it. One of my aesthetics is a fill code, which I added manually as a vector. The other aesthetic is a vertical line that I added with geom_vline. From the graph below, there are three characteristics that I want to add to the legend: 1) The bars with color dark blue, 2) The bars with color light blue and 3) The vertical line. Does anyone

问题 I'm trying to make a function that can take either a single group, or several groups, while using a single colour argument. However, there seems to be a problem in specifying colour both globally (in aes() ) and locally (in geom_smooth() ). Looks like aes() doesn't accept colour=NULL or just left empty colour= . Plot without groups (works) scatterfunction <- function (Data=mtcars,Predictor=mtcars$wt,Response=mtcars$mpg,what.Colour="purple") { library(ggplot2) ggplot(Data,aes(x=Predictor,y

问题 I've been using style sheets in matplotlib lately. I really like how clean the seaborn-white looks and I want to be able to add the border to other styles like ggplot or seaborn-whitegrid . How can I add a black border around my ax object from fig, ax = plt.subplots() ? import pandas as pd import numpy as np from collections import * Se_data = pd.Series(Counter(np.random.randint(0,10,100))) with plt.style.context("seaborn-whitegrid"): fig, ax = plt.subplots() Se_data.plot(kind="barh", ax=ax,

问题 I have a function to generate scatter plots from data, where an argument is provided to select which column to use for coloring the points. Here is a simplified version: library(ggplot2) plot_gene <- function (df, gene) { ggplot(df, aes(x, y)) + geom_point(aes_string(col = gene)) + scale_color_gradient() } where df is a data.frame with columns x , y , and then a bunch of gene names. This works fine for most gene names; however, some have dashes and these fail: print(plot_gene(df, "Gapdh")) #

问题 I am using ggplot with stat_qq to plot several samples. I am trying to figure out how to change the width of the lines in the chart with no luck :-( Here is (the relevant part of) my code: ggplot(data=df,aes(sample=obser, colour = sample)) + stat_qq(dist=qunif) + scale_color_manual(values = c("samp_a" = "darkturquoise", "samp_b" = "hotpink", "samp_c" = "darkgrey")) + scale_x_continuous(breaks=x_ax) + scale_y_continuous(breaks=y_ax) + theme(axis.text.x = element_text(angle = 90, hjust = 1,size

问题 I have found an issue, that I was unable to understand. Can someone please point to an explanation? In ggplot, if I use/don't use "$" with variable name , it gives different result. Please see the example below, library(ggplot2) df <- read.csv("pseudo_facebook.tsv", sep = '\t') # Without $ sign ggplot(data = df, aes(x = friend_count)) + geom_histogram(binwidth = 25) + scale_x_continuous(limits = c(1, 1000), breaks = seq(0, 1000, 25)) + facet_grid(~df$gender) # With $ sign ggplot(data = df,

问题 I have a small dataset and I want to plot it with a line graph: > Gain quantile Positives Total_Examples Positive_Prevalence Lift Cumsum_Positives 1: (0, ] 1 1 1 1.428571 0.1428571 2: (1.9,2.8] 1 1 1 1.428571 0.2857143 3: (2.8,3.7] 1 1 1 1.428571 0.4285714 4: (3.7,4.6] 1 1 1 1.428571 0.5714286 5: (4.6,5.5] 1 1 1 1.428571 0.7142857 6: (5.5,6.4] 1 1 1 1.428571 0.8571429 7: (6.4,7.3] 1 1 1 1.428571 1.0000000 8: (7.3,8.2] 0 1 0 0.000000 1.0000000 9: (8.2,9.1] 0 1 0 0.000000 1.0000000 10: (9.1,10]

问题 I'll skip right to an example and comment afterwords: cont <- data.frame(value = c(1:20),variable = c(1:20,(1:20)^1.5,(1:20)^2),group=rep(c(1,2,3),each=20)) value variable group 1 1 1.000000 1 2 2 2.000000 1 3 3 3.000000 1 #... etc. #ser is shorthand for "series". plot_scat <- function(data,x,y,ser) { ggplot(data,aes(x=x,y=y,color=factor(ser)))+geom_point() } plot_scat(cont,value,variable,group) #This gives the error: #Error in eval(expr,envir,enclose) : object 'x' not found Now, I know that