deep learning output data in keras fit method if I have following data set and I want to predict all three feature How should I prepare the output data ?

 a      b    c
2265.0  8   21.3515625
2264.5  8   21.3515625
2268.0  8   21.3046875
2266.5  8   21.328125
2260.5  8   21.328125
2259.0  8   21.328125


I know Keras takes 3d input. Therefore the input needs to be reshape. There is a timestamps as well.So the output/label would be all except the time stamp in the dataset ?
If you are talking about time-series analysis, your test data should be the three columns you want to predict, but shifted by some amount. So the first batch (e.g. first 5 rows) predicts the 6th row. Here is a small diagram showing what I mean:

Notice that the timestamp column not in the target, and that we predict the three features in the following row, given an input of 5 rows.