To visualize the results of my linear mixed model (LMM) I would like to plot spagetti plots that track the change in volume1 over time for all participants. I w
Given GraphPlots doc, we have the following available attributes: function gplot{V, T<:Real}( G::AbstractGraph{V}, locs_x::Vector{T}, locs_y::Vector{
I have a dataframe df in which the column extracted_day consists of dates ranging between 2022-05-08 to 2022-05-12. I have another column named gas_price, which
I am plotting a graph with 3 y axis, and it shows in the plot window of Spyder instead of saving correctly in a folder. The graph saved in a folder is blank. He
I've seen here that you can use DashTable to allow Markdown in a plotly table like so, app.layout = Div([ DataTable( columns=[ dict(name
I have fitted a binominal logistic glm with a three-way interaction between sex (male & female), tree cover including a quadratic term (1-100%), and the mea
I know that, this issue is known and was already discussed. But I am encountering a strange behaviour, may be someone has idea why: When I run this: plot = df.p
I have the dataframe below. 111_a 111_b 222_a 222_b 333_a 333_b row_1 1.0 2.0 1.5 2.5 1.0 2.5 row_2 1.0 2.0 1.5 2.5 1.0
example of the data: Date Inflation 2020 Q1 2 2020 Q2 2.1 2020 Q3 2 2020 Q4 2.1 I am using ggplot ggplot(CPI,aes(x=date,y=inflation,group=1))+geom_line() but
The code below is for my CNN model and I want to plot the accuracy and loss for it, any help would be much appreciated. I want the output to
I have a dataset in this way: maximum <- c(10) #for each time minim <- c(2) #for each time Quantity c(4, 2, 10, 2, 10, 6, 2) How can I structure my datas
Using plot.igraph(), I have created a network graph using the following code: V(g)$color <- "orange" V(g)[name %in% data.set[[1]] ]$color <- "lightblue"
I am trying to create multiplot that contains a map (using geom_sf) and a graph next to each other. I tried to use GGpubr::ggarrange and cowplot::plot_grid for
GGally::ggpairs function provides support for both numeric and categorical datatypes, making it possible to see the interactions between all variables in one pl
I want to create a cartesian plane in python that looks similar to the attached image, where I have 2 sets of coordinates e.g. (7,7) (17.4,20), and a line going
I have a plot whose y min starts well above 0. But I want to include 0 as the min of the y-axis and still have Stata automatically create evenly-spaced y-axis l
Question : Using the python library 'plotnine', can we draw an interactive 3D surface plot? Backup Explanations What I'd like to do is, under python environme
I want to visualize the grade depending on the sex (male/female). My dataframe: df = pd.DataFrame( { "key": ["K0", "K1", "K2", "K3", "K4", "K5", "K6", "K7", "
I am having problems with plotting a 3D array called 's'. This issue is due to an error telling me that no module named enthought exists although I have already
Is there any way to customize the outlier points in an Altair boxplot? Suppose I had the following plot: penguins_data="https://raw.githubusercontent.com/datavi