Error on scikit-learn: ValueError: Expected 2D array, got1D array installed:

import numpy as np
import pandas aspd
import matplotlib.pyplot asplt
import seaborn as sns
import csv
csvfile=open('BioAsseT practice data5.csv')
df = pd.read_csv("BioAsseT practice data5.csv")
X = df.external
y = df.total
X.shape, y.shape
from sklearn.model_selection import train_test_split
X_train_val, X_test, y_train_val, y_test=train_test_split(X,y,test_size=0.1, random_state=1)
X_train, X_val, y_train, y_val, =train_test_split(X_train_val, y_train_val, test_size=0.5, random_state=1)
from sklearn.tree import DecisionTreeClassifier
dtree=DecisionTreeClassifier(random_state=0)

dtree.fit(X_train,y_train)

ValueError Traceback (most recent call last)
<ipython-input-44-97e56a26e4dc>in<module>
---->1dtree.fit(X_train,y_train)

3frames
/usr/local/lib/python 3.8/dist-packages/sklearn/tree/_classes.py input (self, X, y, sample_weight, check_input, X_idx_sorted)
    935         """
    936 
-->937 super().fit(
    938 X,
    939 y,

/usr/local/lib/python 3.8/dist-packages/sklearn/tree/_classes.py input (self, X, y, sample_weight, check_input, X_idx_sorted)
    163 check_X_params=dict(dtype=DTYPE, accept_sparse="csc")
    164 check_y_params=dict(ensure_2d=False,dtype=None)
-->165 X,y=self._validate_data(
    166 X, y, validate_separately=(check_X_params, check_y_params)
    167             )

/usr/local/lib/python 3.8/dist-packages/sklearn/base.py in_validate_data(self, X, y, reset, validate_separately, **check_params)
    576                 # :(
    577 check_X_params, check_y_params=validate_separately
-->578X=check_array(X,**check_X_params)
    579y=check_array(y,**check_y_params)
    580 else:

/usr/local/lib/python 3.8/dist-packages/sklearn/utils/validation.py in check_array(array, accept_sparse, accept_large_sparse, dtype, order, copy, force_all_finite, enable_2d, allow_nd, enable_min_sample, feature_element)
    767#If input is 1D raise error
    768 if array.ndim == 1:
-->769 raise ValueError(
    770 "Expected 2D array, got 1D array installed:\narray={}.\n"
    771 "Reshape your data ether using array.reshape(-1,1) if"

ValueError: Expected 2Darray, got1Darray installed:
array=[34.254.847.169.761.951.148.369.755.268.549.261.966.61.8
 51.1 79.7 58.8 67.6 55.2 48.7 67.  56.2 62.5 48.  65.6 40.8 27.6 44.6
 31.6 43.7 40.1 69.7 61.2 50.  70.3 70.  53.3 53.8 42.4 47.1 40.9 74.3
 62.9 61.5 70.9 32.8].
Reshape your data ether using array.reshape(-1,1) if your data has a single feature or array.reshape(1,-1) if it contains a single sample.