## How to add the diagonal line in depended vs predict plot in R

`ggplot(prediction) +`

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

For `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) ) %>%

# plot

ggplot(aes(x = bin, y = x)) +

geom_boxplot() +

xlab("Carat") +

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:

`library(plotly)`

fig <- plot_ly(data = iris, x = ~Sepal.Length, y = ~Petal.Length)

fig %>%

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.

Btw. via `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

plt.plot(xarray,yarray, ...)

.

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)`

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