Is there a pandas equivalent to the tidyr nest function?

The tidyr::unnest method from the R language as an equivalent in pandas and it is called explode as explained in this very detailed answer. I would like to know if there is an equivalent to the ̀tidyr::nest` method.

Example R code:

library(tidyr)
iris_nested <- as_tibble(iris) %>% nest(data=-Species)

The data column is a list-column, which contains data frames (this is useful for modelling for example, when running many models).

iris_nested
# A tibble: 3 x 2
  Species              data
  <fct>      <list<df[,4]>>
1 setosa           [50 × 4]
2 versicolor       [50 × 4]
3 virginica        [50 × 4]

To access one element inside the data column:

iris_nested[1,'data'][[1]]
[...]
# A tibble: 50 x 4
   Sepal.Length Sepal.Width Petal.Length Petal.Width
          <dbl>       <dbl>        <dbl>       <dbl>
 1          5.1         3.5          1.4         0.2
 2          4.9         3            1.4         0.2
 3          4.7         3.2          1.3         0.2
 4          4.6         3.1          1.5         0.2
 5          5           3.6          1.4         0.2
 6          5.4         3.9          1.7         0.4
 7          4.6         3.4          1.4         0.3
 8          5           3.4          1.5         0.2
 9          4.4         2.9          1.4         0.2
10          4.9         3.1          1.5         0.1
# … with 40 more rows
library(tidyr)
iris_nested <- as_tibble(iris) %>% nest(data=-Species)
iris_nested
iris_nested[1,'data'][[1]]

Example python code:

from sklearn import datasets
iris = datasets.load_iris()

How can I nest this data frame in pandas :

1. firstly in a less complex way (on paar with the pandas explode functionality) the data column contains a simple list
2. secondly the data column contains data frames as illustrated in the example above