Tensorflow Tutorial on Time Series Forecasting

Hello, everyone!

I am following Tensorflow’s tutorial on time series forecasting (Time series forecasting  |  TensorFlow Core), and I can’t understand the graphics generated by the plot() function defined in topic 3:

def plot(self, model=None, plot_col='T (degC)', max_subplots=3):  inputs, labels = self.example
``` .....

How can we determine what samples are being plotted here? How could I retrieve datetimes related with each of them?

Any help will be appreciated.

Kind regards,

Date and time columns are given in the dataset. If you check initial dataset before pop method, you can see them. Function to_datetime() converts them to datetime object and then its used as an index variable.

Regarding which samples are plotted, in plot function , the default argument is 'T (degC) so first call ```
w2.plot() doesnt have any argument and it will plot temperature. Second time the call is w2.plot(plot_col=‘p (mbar)’) so it will plot pressure and so on.
I hope its clear to you.