Create a grid of plots with holoviews/hvplot and set the max number of columns

Question

I'd like to plot several data into a grid using holoviews/hvplot, based on one dimension, which contains several unique data points.

Considering this example:

import seaborn as sns
import hvplot.pandas

iris = sns.load_dataset('iris')
plot = iris.hvplot.scatter(x="sepal_length", y="sepal_width", col="species")
hvplot.show(plot)

The above code creates several plots, based on the species part of the iris data set, resulting in the picture below:

But now imagine there were not 3 different species, but twenty. The plot would get to wide so I'd like to break the line after a few plots. But I couldn't find any "maximum columns" parameter. A normal grid expects another column to define the rows which I don't have.

Any suggestions would help.

Answer 1

In your case I would not create a Gridspace (by using keyword 'row' and 'col') but a Layout.
When you have a Layout you can adjust the number of columns easily with .cols(2).

Using hvplot you have to use keyword 'by' and 'subplots=True' instead of 'col'.

See the code below:

iris.hvplot.scatter(
    x='sepal_length',
    y='sepal_width',
    by='species',
    subplots=True,
).cols(2)

Resulting plot: