I'd like to plot a 2d array using matplotlib based on fixed value-based color regions. For example, fixed color regions are 0 < value < 5 = red, 5 < va
Currently, I have THREE function to create the graphic, namely get_image_1, get_image_2, and get_image_3 as shown in the function below. def get_image_1():
I have a causal inference model with featurizer=PolynomialFeatures(degree=3) which includes a degree 3 polynomial in X variable. I get the plot for interpretab
I'm looking for a way to plot or visualize a graph made in Erlang using the digraph module. In the manual pages I can't find any function for doing this. How do
I have a dataset with two groups - Experimental and Control. Each participant contributes two responses per group, which represent different learning styles. Th
As the minimal reproducible example below shows, plot 2 appears too late. How can I fix this? It seems, the message screws everthing up. Most likely related: th
What is the difference between the Axes.plot() and pyplot.plot() methods? Does one use another as a subroutine? It seems that my options for plotting are line =
I am trying plot the intersection between a buffer circle and the mesh blocks (or boundaries) within that circle of some radius (in this case, 80 km). I got the
I am trying plot the intersection between a buffer circle and the mesh blocks (or boundaries) within that circle of some radius (in this case, 80 km). I got the
I'm interested in using a matrix plot as a field map and certain locations in matrix as specific plants (locations within field). I'm using this data: Field<
I'm trying to figure out how to rotate text in matplotlib to align to a curve in a plot, but I haven't figured what transformations give the p
I have pandas Dataframe that looks like this: I am asking to create this kind of plot for every year [1...10] with the Score range of [1...10]. This means that
I use the R base command "legend" to add a legend to a plot and I want the title of this legend to be bigger. In the help it says: cex: character expansion
samples.zip The sample zipped folder contains: model.pkl x_test.csv To reproduce the problems, do the following steps: use lin2 =joblib.load('model.pkl') to loa
samples.zip The sample zipped folder contains: model.pkl x_test.csv To reproduce the problems, do the following steps: use lin2 =joblib.load('model.pkl') to loa
I am trying to animate the time evolution of the probability density of a wave-function of a system (1D), and already created a file with the amplitude of each
I am migrating over from ggplot2 to plotly, in order to take advantage of the interactive features they offer. I do realize that the plotly library has a ggplo
I am preparing some slides in RMarkdown, and I need to plot the code on one slide and the plot on the next one, so I frequently find myself doing something on t
I am using a ribbon chart to visualise total sales over 3 years, using Product ID as legend. Then in another bar graph I plotted total sales by Product ID. What
I am using Seaborn to plot some data in Pandas. I am making some very large plots (factorplots). To see them, I am using some visualisation facilities at my u