Hi!
I am implementing a minimal learner class as suggested in lesson 4 
and I have a question related about displaying a pandas data frame at the end of each epoch.
How it’s possible to display additional rows without displaying all the dataframe? I noticed that the original learner don’t refresh the table, visually it’s like display the last row.
def fit(self, num_epochs, lr):
self.opt.lr = lr
output = pd.DataFrame(index = np.arange(num_epochs),
columns = ['epoch', 'train_loss',
'valid_loss', 'metric', 'time'])
for i in range(num_epochs):
start = time.time()
self.fit_one_cycle(self.model)
end = time.time()
output.loc[i, 'time'] = end - start
output.loc[i, 'epoch'] = i
output.loc[i, 'train_loss'] = self.loss_values[i]
output.loc[i, 'valid_loss'] = i
output.loc[i, 'metric'] = self.validate_epoch(self.model)
display_df(output.loc[:i, :]
I will appreciate any feedback 
Thanks!