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Machine Learning linear regression prediction

Hello.
I try to predict from previously trained LinearRegression classifier, but I keep getting same error: shapes (15,5) and (9,) not aligned: 5 (dim 1) != 9 (dim 0).
Would you explain, please, what am I doing wrong?

[try:
    df=pd.read_csv('Stock.csv',names=['Date','High','Low','Close','Open','Volume'])
    df['Date']=pd.to_datetime(df['Date'],unit='s')
    df.set_index('Date',inplace=True)
      
    pickle_in=open('linearreg.pickle','rb')
    clf=pickle.load(pickle_in)


    forecast_set=clf.predict(np.array(df))
    df['Forecast']=np.nan

    last_date=df.iloc[-1].name
    last_unix=last_date.timestamp()
    five_minutes=300
    next_unix=last_unix+five_minutes

    for i in forecast_set:
        next_date=datetime.datetime.fromtimestamp(next_unix)
        next_unix+=300
        df.loc[next_date]=[np.nan for _ in range(len(df.columns)-1)]+[i]

    df['Close'].plot()
    df['Forecast'].plot()
    plt.legend(loc=4)
    plt.xlabel('Date')
    plt.ylabel('Price')
    plt.show()]
Thank you very much and Happy new year!!!