In Jupyter, do you do a running update (hide) a pandas table as you are updating it?

Question

In Jupyter, I am running a long-running computation.

I want to show a Pandas table with the top 25 rows. The top 25 may update each iteration.

However, I don't want to show many Pandas tables. I want to delete / update the existing displayed Pandas table.

How is this possible?

This approach seems usable for matplotlibs but not pandas pretty tables.

Answer 1

You can use clear_output and display the dataframe:

from IPython.display import display, clear_output
# this is just to simulate the delay
import time

i = 1
while i<10:
    time.sleep(1)
    df = pd.DataFrame(np.random.rand(4,3))
    clear_output(wait=True)
    display(df)
    i += 1