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DS-1000 / 916 / Are you able to train a DecisionTreeClassifier with string data?

Problem

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prompt

Problem:

Are you able to train a DecisionTreeClassifier with string data?

When I try to use String data I get a ValueError: could not converter string to float

X = [['asdf', '1'], ['asdf', '0']]

clf = DecisionTreeClassifier()

clf.fit(X, ['2', '3'])

So how can I use this String data to train my model?

Note I need X to remain a list or numpy array.

A:

corrected, runnable code
<code>
import numpy as np
import pandas as pd
from sklearn.tree import DecisionTreeClassifier
X = [['asdf', '1'], ['asdf', '0']]
clf = DecisionTreeClassifier()
</code>
solve this question with example variable `new_X`
BEGIN SOLUTION
<code>

library

Sklearn

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Source and history

upstream_id / Original problem ID
916
task_id
5d752660-5609-57c2-a196-b95b422fd1a3
task_key
default--test--916
task_revision_id
1
config / split
default / test

Official source

initial import