How to extract trees in XGBoost?

Question

I want to extract each tree so that I can feed it with any data, and see the output.

dump_list=xg_clas.get_booster().get_dump()
num_t=len(dump_list)
print("Number of Trees=",num_t)

I can find number of trees like this,

xgb.plot_tree(xg_clas, num_trees=0)
plt.rcParams['figure.figsize']=[50, 10]
plt.show()

graph each tree like this. When I do something like:

dump_list[0]

it gives me the tree as a text. But I couldn't find any way to extract a tree as an object, and use it.

https://github.com/dmlc/xgboost/issues/117#ref-commit-3f6ff43 I found this but didn't really understand what is suggested.

Progress: I tried to somehow turn

dump_list[0]

string object into a sklearn DecisionTreeClassifier object. Still no luck.

I uploaded my notebook if you want to check it out: https://github.com/sciencelove11/Question