[Python] How to unscale data after predictions?

I have a dataset with 2 features (price & volume) & 1 predicted variable (price) and use LTSM model to predict next price based on the previous set of prices.

First I scale the dataset:

#Scale the data
scaler = MinMaxScaler(feature_range=(0,1))
scaled_data = scaler.fit_transform(dataset)


Finally I want to unscale it:

#Get the models predicted price values
predictions = model.predict(x_test)
predictions = scaler.inverse_transform(predictions)


But this doesn't work and I get this error:

ValueError: non-broadcastable output operand with shape (400,1) doesn't match the broadcast shape (400,2)

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