boxplot

问题 I would like to add trace of a median line on my box plot. like this Here are my plots so far: library(plotly) p <- plot_ly(y = ~rnorm(50), type = "box") %>% add_trace(y = ~rnorm(50, 1)) p 回答1: Just start out with a scatter plot using plot_ly(..., type='scatter', mode='lines', ...) , and follow up with one add_boxplot(...' inherit=FALSE, ...) per box plot. Here's how you do it for an entire data.frame : Complete code with sample data: library(dplyr) library(plotly) # data df <- data.frame

问题 I would like to add trace of a median line on my box plot. like this Here are my plots so far: library(plotly) p <- plot_ly(y = ~rnorm(50), type = "box") %>% add_trace(y = ~rnorm(50, 1)) p 回答1: Just start out with a scatter plot using plot_ly(..., type='scatter', mode='lines', ...) , and follow up with one add_boxplot(...' inherit=FALSE, ...) per box plot. Here's how you do it for an entire data.frame : Complete code with sample data: library(dplyr) library(plotly) # data df <- data.frame

问题 I have a dataframe like this import seaborn as sns import pandas as pd %pylab inline df = pd.DataFrame({'a' :['one','one','two','two','one','two','one','one','one','two'], 'b': [1,2,1,2,1,2,1,2,1,1], 'c': [1,2,3,4,6,1,2,3,4,6]}) A single boxplot is OK sns.boxplot( y="b", x= "a", data=df, orient='v' ) But i want to build a subplot for all variables. I do names = ['b', 'c'] plt.subplots(1,2) sub = [] for name in names: ax = sns.boxplot( y=name, x= "a", data=df, orient='v' ) sub.append(ax) and i

问题 I made some forecast with forecast package with several models.Example of this models you can see below: # CODE library(fpp2) # required for the data library(dplyr) library(forecast) #HOLT WINTER fc <- hw(subset(hyndsight,end=length(hyndsight)-35), damped = TRUE, seasonal="multiplicative", h=35) autoplot(hyndsight) + autolayer(fc, series="HW multi damped", PI=FALSE)+ guides(colour=guide_legend(title="Daily forecasts")) #ETS ets_f <- forecast(subset(hyndsight,end=length(hyndsight)-35), , h=35)

问题 I want to create multiple facets of boxplots of my data, which illustrate the amount of each of the chemicals present under various conditions. I have two categorical variables, M1 and M2, which take the values "small, medium, large" and "low, medium, high" respectively. I want these to form the basis of a 3x3 facet grid. I then have 8 chemicals A-H which take a numeric value, and I want a boxplot for each chemical on each facet. I've made a 3x3 facet grid, but only with one chemical on each.

问题 I want to create multiple facets of boxplots of my data, which illustrate the amount of each of the chemicals present under various conditions. I have two categorical variables, M1 and M2, which take the values "small, medium, large" and "low, medium, high" respectively. I want these to form the basis of a 3x3 facet grid. I then have 8 chemicals A-H which take a numeric value, and I want a boxplot for each chemical on each facet. I've made a 3x3 facet grid, but only with one chemical on each.

问题 I want to create multiple facets of boxplots of my data, which illustrate the amount of each of the chemicals present under various conditions. I have two categorical variables, M1 and M2, which take the values "small, medium, large" and "low, medium, high" respectively. I want these to form the basis of a 3x3 facet grid. I then have 8 chemicals A-H which take a numeric value, and I want a boxplot for each chemical on each facet. I've made a 3x3 facet grid, but only with one chemical on each.

问题 I'm trying to create a simple boxplot with connected lines similar to the one described in this question: Connect ggplot boxplots using lines and multiple factor. However, the interaction term in that example produces an error: geom_path: Each group consists of only one observation. Do you need to adjust the group aesthetic? I would like to connect each point using the index variable. Here is the code: group <- c("A","A","A","A","A","A","A","A","A","A","B","B","B","B","B","B","B","B","B","B")

问题 I want to do some box plots, but I have data with a different number of rows for each column. My data looks like: OT1 OT2 OT3 OT4 OT5 OT6 22,6130653 16,6666667 20,259481 9,7431602 0,2777778 16,0678643 21,1122919 32,2946176 11,396648 10,9458023 4,7128509 10,8938547 23,5119048 19,5360195 23,9327541 39,5634921 0,6715507 12,2591613 16,9880885 39,5365943 7,7568134 22,7453205 3,6410445 11,7610063 32,768937 25,2897351 9,6288027 4,1629535 3,7251656 40,7819933 15,6320021 5,9171598 23,7961828 14

问题 I created a grouped boxplot with ggplot2. Now I want to add additional data to the existing plot in the following way: for each month I have one "Optimal" value that should be displayed as a dot and these dots should be connected by a line. This is the desired state: How could I add those dots and lines to my plot? Can I by any chance put the connecting lines behind the boxplots? Here is my current state and the data: Ggplot without dots : Data frame:Data frame R Code: data("MyData") MyData