Create a multiplot scatters using Plotly, redefine axis values and ticks and also add values next to markers.

plotly_multiplot.py

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

fig = make_subplots(rows=2, cols=1,)

fig.add_trace(
    go.Scatter(
        x=df_analysis.index,
        y=df_analysis.fpd_by_amount,
        mode="lines+markers+text",
        textposition="bottom center",
        text=df_analysis.fpd_by_amount,
        name="Por faturas",
        yaxis="y1",
        xaxis="x1",
    ),
    row=1,
    col=1,
).add_trace(
    go.Scatter(
        x=df_analysis.index,
        y=df_analysis.fpd_by_customers,
        mode="lines+markers+text",
        textposition="top center",
        text=df_analysis.fpd_by_customers,
        name="Por clientes",
        yaxis="y1",
        xaxis="x1",
    ),
    row=1,
    col=1,
).add_trace(
    go.Scatter(
        x=df_analysis.index,
        y=df_analysis.number_null_cpfs,
        mode="lines+markers+text",
        textposition="top center",
        text=df_analysis.number_null_cpfs,
        name="Clientes com valores nulos",
        yaxis="y2",
        xaxis="x2",
    ),
    row=2,
    col=1,
).update_layout(
    width=1200,
    height=800,
    title="Cálculo de FPD utilizando jdsk",
    yaxis1=dict(range=[30, 45], dtick=2, ticksuffix="%", title="First Payment Default"),
    xaxis1=dict(
        tickmode="array",
        tickvals=list(df_analysis.index),
        ticktext=None
    ),
    yaxis2=dict(
        range=[0, 100], tick0=10, dtick=20, title="Número total clientes valor nulo"
    ),  
    xaxis2=dict(
        tickmode="array",
        title="Mês",
        tickvals=list(df_analysis.index),
    ),
)