Basic stacked data point histogram in Plotly Express

I have such an unbelievably basic question that I can't figure out and it's making me mad.

How can I plot a simple graph of stacked data points as X's in Plotly Express? I have tried using px.histogram but can't get it styled the way I want.

Example sketch below. X-values 1.5 and 4 both have three observations.

Edit #1 to add MWE

 import pandas as pd
 import plotly.express as px

 d = {'Name':['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J'], 
      'Score':[1, 1.5, 4, 1.5, 1.5, 4, 2.5, 3, 2.5, 4]}

 df = pd.DataFrame(data=d)
 df

  Name  Score
0   A   1.0
1   B   1.5
2   C   4.0
3   D   1.5
4   E   1.5
5   F   4.0
6   G   2.5
7   H   3.0
8   I   2.5
9   J   4.0

Edit #2 to add Galton board diagram as example of desired output:

If you want to process the histogram representation, you can do so with scatter plots. To process the data, add the frequency counts to the columns. Specify the frequency on the y-axis. After that, you can change the color and shape of the markers to your liking. I set the interval value for the y-axis and limit the height of the graph so that the elements overlap in order to have a stacked appearance on the scatter plot. I also add a hide y-axis.

import pandas as pd
import numpy as np
import plotly.graph_objects as go

d = {'Name':['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J'], 
      'Score':[1, 1.5, 4, 1.5, 1.5, 4, 2.5, 3, 2.5, 4]}

df = pd.DataFrame(data=d)
df['cum_cnt'] = df.groupby('Score').cumcount() + 1

fig = go.Figure()

for p in df.itertuples():
    fig.add_trace(go.Scatter(x=[p.Score], y=[p.cum_cnt], mode='markers', showlegend=False))

fig.update_traces(
    marker=dict(
        size=25,
        color='LightSkyBlue',
        line=dict(
            color='gray',
            width=2
            )
        ))
fig.update_yaxes(tickmode='array', tickvals=np.arange(0,11,1), range=[0,11], visible=False)
fig.update_layout(height=450, width=700, template='plotly_white')

fig.show()