Show Pandas Dataframe in for loop

Question

I have a for-loop in which I build a pandas dataframe and everytime the loop starts over, the dataframe is updated. What I would like to do is to depict this table before being updated again and showing it again, of course with updated values. It is possible to do such if I was going to plot some value in each iteration and the plots would show up one after each other. But I seem not to be able to do the same for a dataframe or basically table.

df = pd.DataFrame(index = x, columns=y)
for i in range(df.shape[0]):
    for j in range(df.shape[1]):
        if condition is True:
            df.iloc[i,j] = 'True'
        else:
            df.iloc[i,j] = 'False'

    Show df!

Answer 1

It's unclear whether you are working inside a notebook or not. but I think your are looking for display:

from IPython.display import display

df = pd.DataFrame(index = x, columns=y)
for i in range(df.shape[0]):
    for j in range(df.shape[1]):
        if condition is True:
            df.iloc[i,j] = 'True'
        else:
            df.iloc[i,j] = 'False'

    display(df)

Answer 2

You can try this:

from IPython.display import display

    df = pd.DataFrame(index = x, columns=y)
    for i in range(df.shape[0]):
        for j in range(df.shape[1]):
            print("Values of i and j:",i,j)
            print("DataFrame before update:")
            display(df)
            if condition is True:
                df.iloc[i,j] = 'True'
            else:
                df.iloc[i,j] = 'False'
            print("DataFrame after update:")
            display(df)