import plotly.graph_objects as go

x=[9.54,
        13.73,
        17.26,
        18.16,
        18.63,
        19.00,
        19.25,
        19.90,
        20.69,
        20.86,
        21.17,
        26.75,
        31.70,
        32.54,
        34.28,
        35.39,
        35.58,
        36.35,
        36.46,
        37.19,
        37.90,
        38.65,
        40.80,
        42.63,
        48.89,
        60.24,
        75.86,
        91.54,
        92.72,]

y=["AMD Interlagos(C16/M2)",
        "Intel SandyBridge(C8/M1)",
        "Intel CascadeLake(C20/M1)",
        "Intel IvyBridge(C10/M1)",
        "Intel CascadeLake(C20/M2)",
        "Intel SkyLake(C20/M1)",
        "Intel Haswell(C14/M1)",
        "Intel SkyLake(C20/M2)",
        "Intel Broadwell(C18/M1)",
        "Intel Broadwell(C18/M2)",
        "Intel Haswell(C14/M2)",
        "Intel Icelake(C36/M1)",
        "Ampere Altra Max(C128/M1)",
        "Intel SapphireRapids(C52/M4)",
        "AMD Rome(C64/M4)",
        "Intel GraniteRapids(C86/M1)",
        "AMD Rome(C64/M1)",
        "AMD Rome(C32/M4)",
        "AMD Rome(C64/M2)",
        "AMD Rome(C32/M1)",
        "AMD Rome(C32/M2)",
        "AMD Naples(C24/M4)",
        "AMD Milan(C32/M4)",
        "Nvidia Grace(C72/M1)",
        "AMD Genoa(C92/M4)",
        "AMD TurinDense(C144/M1)",
        "Fujitsu FX700(C48/M4)",
        "AMD Turin(C64/M1)",
        "Fujitsu FX1000(C48/M4)"]

fig = go.Figure(go.Bar(
    x=x,
    y=y,
    orientation='h',
    text=x,
    textposition='auto',
    marker_color='indianred',
    ))

fig.update_xaxes(
        title_text = "Memory Bandwidth [GB/s]",
        title_font = {"size": 16}
        )

fig.update_layout(
        title="Single core memory bandwidth",
        template="ggplot2",
        autosize=False,
        width=800,
        height=1000)

fig.write_image("single.png")