Superimposed Scatter with Rangeslider Debugging Tick Values

📊 Plotly Python
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1

Hi, I need X Axis 2 to show the tick values but it isn’t. How do I do this? Example below:

import pandas as pd
from plotly.subplots import make_subplots
import plotly.graph_objects as go

new = pd.DataFrame({'x': {0: 0.0, 1: 0.0, 2: 0.0, 73: 1.0, 74: 1.0, 75: 1.0},
 'y': {0: 0, 1: 1, 2: 2, 73: 0, 74: 1, 75: 2},
 'radius_colour': {0: 15.0,
  1: 10.0,
  2: 0.0,
  73: 30.52867504494749,
  74: 20.0,
  75: 45.0},
 'radius_grey': {0: 37.36308338453881,
  1: 40.0,
  2: 0.0,
  73: 37.36308338453881,
  74: 50.0,
  75: 45.0},
 'avg': {0: 0.045278808816197724,
  1: 0.7121718328920527,
  2: 0.6833861594662105,
  73: 0.23490077280964838,
  74: 0.5113549060324999,
  75: 0.8362329029189804}})

fig = make_subplots(rows=1, cols=1)

fig.add_trace(
    go.Scatter(
        x=new["x"],
        y=new["y"],
        mode="markers",
        marker=dict(
            size=new["radius_grey"],
            color="LightGrey",
            opacity=0.4,
        ),
        showlegend=False
    )
).add_trace(
    go.Scatter(
        x=new["x"],
        y=new["y"],
        mode="markers",
        marker=dict(
            size=new["radius_colour"],
            color=new["avg"],
            colorscale="Viridis",
            showscale=True,
        ),
        showlegend=False,
    )
)

fig.update_layout(
    xaxis=dict(
        side="bottom",
        title="X Axis",
        tickvals=[0.5],
        ticktext=['X_1_0'],
        rangeslider=dict(visible=True)
    ),
    xaxis2=dict(
        side="top",
        title="X Axis 2",
        tickvals=[0,1],
        ticktext=['A', 'B']
        
    ),
    yaxis=dict(
        showgrid=False,
        showline=True,
        linecolor="rgb(102, 102, 102)",
        tickvals=[0,1,2],
        ticktext=['Y_0','Y_1','Y_2'],
        title="Y Axis",
        autorange="reversed",
    ),
    paper_bgcolor="white",
    plot_bgcolor="white",
)
fig.show()