How to add the diagonal line in depended vs predict plot in R
geom_ribbon(aes(mpg, ymin = lwr, ymax = upr), fill = 'lightskyblue', alpha = 0.5) +
geom_point(aes(mpg, fit), alpha = 0.2) +
labs(title = "interval 95%CI", y = "depend", x = "predict") +
geom_abline(intercept = 0, slope = 1, col="yellow")
Does matplotlib have a function for drawing diagonal lines in axis coordinates?
Starting from matplotlib 3.3.0, it will: https://matplotlib.org/3.3.0/api/_as_gen/matplotlib.axes.Axes.axline.html
Axes.axline(self, xy1, xy2=None, *, slope=None, **kwargs) Add an
infinitely long straight line.
The line can be defined either by two points xy1 and xy2, or by one
point xy1 and a slope.
This draws a straight line "on the screen", regardless of the x and y
scales, and is thus also suitable for drawing exponential decays in
semilog plots, power laws in loglog plots, etc. However, slope should
only be used with linear scales; It has no clear meaning for all other
scales, and thus the behavior is undefined. Please specify the line
using the points xy1, xy2 for non-linear scales.
R: how to add diagonal line to binned boxplots in ggplot
ggplot, any categories on an axis have a distance of 1. So
geom_abline with a slope of 1 will increase your y-axis with 1 for each category. Since your bins are of size 1/2, using a slope of
0.5 will draw the slope correctly.
We also need to adjust the intercept to
-0.25. This is because the first bin is at x-coordinate 1, not 0.25.
p <- diamonds %>%
# Add a new column called 'bin': cut the initial 'carat' in bins
mutate(bin=cut_width(carat, width = 0.5, boundary=0) ) %>%
ggplot(aes(x = bin, y = x)) +
geom_abline(slope = 0.5, intercept = -0.25) +
geom_hline(yintercept = c(2.75, 3.25))
Note that I also drew 2 horizontal lines to confirm that this fits your manually worked out example values.
Plotly in R - Diagonal AB line
A line shape could be used to achive this:
fig <- plot_ly(data = iris, x = ~Sepal.Length, y = ~Petal.Length)
layout(shapes = list(list(
type = "line",
x0 = 0,
x1 = ~max(Sepal.Length, Petal.Length),
xref = "x",
y0 = 0,
y1 = ~max(Sepal.Length, Petal.Length),
yref = "y",
line = list(color = "black")
Also see this related answer.
xref = "paper" we don't need to specify start and end points for the line, however the line is no longer aligned with the axes.
Drawing a diagonal line of my matplotlib scatterplot?
You made a mistake in using plt.plot. The syntax is
This should be :
plt.plot([0,6], [0,6], 'k-')
Matplotlib.pyplot: Drawing a diagonal line over a subplo
Eagle eyed contribotor @ImportanceOfBeingEarnest spotted that my parameters for creating the line were incorrect:
ax1.plot([-1, -1], [1, 1], 'red', linewidth=10)
I wrote them as if the first pair were coordinates of the start point, and the second pair were coordinates of the end point. In reality the first argument is a list of x coordinates, and the second argument a list of y coordinates, so my line was actually defining a point. The correct way and which solved my problem would be:
ax1.plot([-1,1],[-1,1], 'red', linewidth=10)
Add diagonal line to hist2d with matplotlib
You should pass the coordinates of the line plot as a list of x values and a list of y values. For the transparency you can use the
alpha parameter. So your code for the line should be
plt.plot([0, 0.1], [0, 0.1], marker="o", alpha=0.5)