matplotlib widget on jupyter notebook, dropdown menu working but not showing

I wanted to test the code from this previous post because I have a trouble to visualize my dropdown menu.

I use pycharm, and add the code found in the answer of the post above in a Jupyter notebook. As you can see in the printscreen I have the dropbox with the first value displayed. I also have my plot that updates with the option I choose. The problem is that when I click on the option, I only know it is selected thanks to the blue rectangle that appears, then with the arrows of my keyboard I can select the value I want.

Question : I want to see displayed some options like a regular dropdown list. How can I do that?

Thank you

Edit: here is the code I used from the previous post

 %matplotlib widget 
# needs ipympl

import ipywidgets as widgets
from IPython.display import display
import matplotlib.pyplot as plt

dropdown = widgets.Dropdown(
        #options=['2009', '2010', '2011', '2012', '2013', '2014', '2015', '2016', '2017', '2018', '2019'],
        #value='2009',
        options=list(range(2009, 2020)), # integers instead of strings
        value=2009,  # integer instead of string
        description='Jahr:',
)

fig, ax = plt.subplots()
fig.dpi = 150

x = [2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019]
y = [130, 137, 104, 147, 401, 274, 234, 770, 857, 746, 704]

line, = ax.plot(x, y, label="Flugstunden pro Jahr", marker=".")

ax.legend()

ax.set_title("Flugstunden")
ax.set_xlabel("Jahr")
ax.set_ylabel("Flugstunden")
ax.set_facecolor((0.9,0.9,0.9))

#plt.show()

def on_change1(value=2009):
    """remove old line(s) and plot new line(s)"""

    #print(type(value))
    #value = int(value)   # I don't have to convert string to integer

    # get all value for `year >= value`
    #pairs = [(a,b) for a,b in zip(x, y) if a >= value] # use `==` to get only one value
    #selected_x, selected_y = zip(*pairs)

    # select data 
    pos = x.index(value)
    selected_x = x[pos]  # create `selected_x` to keep original values in `x`
    selected_y = y[pos]  # create `selected_y` to keep original values in `y`

    print('x:', selected_x)
    print('y:', selected_y)

    # remove old line(s)
    for l in ax.lines:
        l.remove()

    # plot new line(s)
    ax.plot(selected_x, selected_y, label="Flugstunden pro Jahr", marker=".")   


def on_change2(value=2009):
    """keep line, remove all data from line and use new data with the same line"""

    #print(type(value))
    #value = int(value)   # I don't have to convert string to integer

    # get all value for `year >= value`
    #pairs = [(a,b) for a,b in zip(x, y) if a >= value] # use `==` to get only one value
    #selected_x, selected_y = zip(*pairs)

    # select data 
    pos = x.index(value)
    selected_x = x[pos]  # create `selected_x` to keep original values in `x`
    selected_y = y[pos]  # create `selected_y` to keep original values in `y`

    print('x:', selected_x)
    print('y:', selected_y)

    line.set_xdata(selected_x)
    line.set_ydata(selected_y)
    #fig.canvas.draw()

widgets.interact(on_change1, value=dropdown) 
#widgets.interact(on_change2, value=dropdown)

Edit 2: The last code with iypmpl works on the 'launcher binder'. On my computer, when I open the notebook in jupyter lab, the code works well. Then, when I open the same notebook in PyCharm, the code generates the figure, but the dropdown menu does not open. So it must be the IDE.

Update: I just decided to update the IDE (last time I did, it was 6 months ago). Now it works like a charm...My new Pycharm version is 2025.1.3