How to integrate another data file in dropdown menus

[androiduser]

I’m beginner on Python plotpy, want to integrate multiple data on dropdown menu:

code:

import pandas as pd 
import plotly.express as px
import plotly.graph_objects as go

#load csv file
df = pd.read_csv('output_file.csv')
df_visayas = pd.read_csv('davao.csv')

#labels
fig = px.scatter(df, x = 'datetime',
                 
                 y = ['observed_tide', 'estimated_tide', 'deviation'], 
                 color = 'variable',
                 labels = {'variable': 'legend', 'datetime': 'Date/Time'})

#lables and size
fig.update_layout (title = 'Tide Visualization', font=dict(size=16),
                     font_family = "Courier New",
                     title_font_color = "blue",
                     legend_title_font_color = "red",
                     width=1500,    
                     height=750,
                     title_y=1.0,
                     title_x=0.13,
                     legend=dict(x=1, y=1, xanchor='right', yanchor='top'))

# Add dropdown 
fig.update_layout( 
    updatemenus=[ 
        dict( 
            buttons=list([ 
                dict( 
                    args=["type", "scatter"], 
                    label="Luzon", 
                    method="restyle"
                ), 
                dict( 
                    args=["type", "bar"], 
                    label="Vizayas", 
                    method="restyle"
                ),

                dict(
                    args=["type", 'scatter'],
                    label = 'Mindanao',
                    method = "restyle"
                )
            ]), 
            direction="down", 
        ), 
        ] 
)  

#add time
fig.update_layout(
    xaxis=dict(
        rangeselector=dict(
            buttons=list([
                dict(count=1,
                     label="1m",
                     step="month",
                     stepmode="backward"),
                dict(count=6,
                     label="6m",
                     step="month",
                     stepmode="backward"),
                dict(count=8,
                     label="8m",
                     step="year",
                     stepmode="todate"),
                dict(count=1,
                     label="1y",
                     step="year",
                     stepmode="backward"),
                dict(step="all")
            ])
        ),
        rangeslider=dict(
            visible=True
        )
    )
)


#exe
fig.show()

data

CSV FILES

Expected output:

each region is different data shown.