I need to predict closing value of bitcoin, I really need help (Jupyter)

Question

[In the image you can see what is the error that the code gives, I need to define the "close_price" and the "array"]

import pandas
import numpy
from sklearn.preprocessing import MinMaxScaler

bitcoin_data = pandas.read_csv("BTC-USD.csv", sep=",")
bitcoin_data = bitcoin_data.drop("Date", axis=1)

///////////////////////////////////////////////////////////////////////////

scaler = MinMaxScaler()
scaler.fit(bitcoin_data)
bitcoin_data = scaler.transform(bitcoin_data)

///////////////////////////////////////////////////////////////////////////

def create_dataset(dataset, look_back=1):
dataX, dataY = [], []
for i in range(len(dataset)-look_back-1):
    a = dataset[i:(i + dataset)]
    dataX.append(a)
    dataY.append(dataset[i + look_back])
return numpy.array(dataX), numpy.array(dataY)

frames, target = create_dataset(close_price, 7)

train_size = int(0.90 * frames.shape[0])

train_set, train_labels = frames[0:train_size, :], target[0:train_size]
test_set, test_labels = frames[train_size:, :], target[train_size:]

And this is the error:

IndexError                                Traceback (most recent call last)
~\AppData\Local\Temp/ipykernel_9740/728866547.py in <module>
 11 train_size = int(0.90 * frames.shape[0])
 12 
 ---> 13 train_set, train_labels = frames[0:train_size, :], 
 target[0:train_size]
 14 test_set, test_labels = frames[train_size:, :], target[train_size:]

 IndexError: too many indices for array: array is 1-dimensional, but 2 
 were indexed

Here is the data base: https://query1.finance.yahoo.com/v7/finance/download/BTC-USD?period1=1620524615&period2=1652060615&interval=1d&events=history&includeAdjustedClose=true