Plotlyを試す1

import plotly.express as px
import pandas as pd

# データの読み込み
df1 = pd.read_csv('data1.csv')
df2 = pd.read_csv('data2.csv')
df3 = pd.read_csv('data3.csv')

# 凡例名の設定
names = ['data1', 'data2', 'data3']

# 全ての凡例を非表示にする
visible = [False] * len(names)

# データを散布図としてプロット
fig = px.scatter(df1, x='x', y='y', color_discrete_sequence=['blue'], name=names[0], visible=visible[0])
fig.add_scatter(x=df2['x'], y=df2['y'], mode='markers', name=names[1], visible=visible[1])
fig.add_scatter(x=df3['x'], y=df3['y'], mode='markers', name=names[2], visible=visible[2])

# レイアウトの設定
fig.update_layout(
    title='Multiple Scatter Plot',
    xaxis_title='X Axis',
    yaxis_title='Y Axis',
    updatemenus=[
        dict(
            buttons=list([
                dict(
                    args=[{'visible': [True, False, False]}],
                    label=names[0],
                    method='update'
                ),
                dict(
                    args=[{'visible': [False, True, False]}],
                    label=names[1],
                    method='update'
                ),
                dict(
                    args=[{'visible': [False, False, True]}],
                    label=names[2],
                    method='update'
                ),
                dict(
                    args=[{'visible': [True] * len(names)}],
                    label='All',
                    method='update'
                )
            ]),
            direction='down',
            showactive=True,
            xanchor='left',
            yanchor='top'
        )
    ]
)

# グラフの表示
fig.show()