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multiple plots using px.line

Mike on Jun 01, 2021

import plotly.graph_objs as go
import pandas as pd

#df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/wind_speed_laurel_nebraska.csv')
df = pd.read_excel('/Users/Jakob/Documents/python_notebooks/data/test_excel_import_1.xlsx')

fig = go.Figure([
    
    go.Scatter(
        name='Measurement 1',
        x=df['Time'],
        y=df['10 Min Sampled Avg'],
        mode='markers+lines',
        marker=dict(color='red', size=2),
        showlegend=True
    ),
    go.Scatter(
        name='Upper Bound',
        x=df['Time'],
        y=df['10 Min Sampled Avg']+df['10 Min Std Dev'],
        mode='lines',
        marker=dict(color="#444"),
        line=dict(width=1),
        showlegend=False
    ),
    go.Scatter(
        name='Lower Bound',
        x=df['Time'],
        y=df['10 Min Sampled Avg']-df['10 Min Std Dev'],
        marker=dict(color="#444"),
        line=dict(width=1),
        mode='lines',
        fillcolor='rgba(68, 68, 68, 0.3)',
        fill='tonexty',
        showlegend=False
    ),
    
    go.Scatter(
        name='Measurement 2',
        x=df['Time'],
        y=df['Velocity'],
        mode='markers+lines',
        marker=dict(color='blue', size=2),
        showlegend=True
    ),
    go.Scatter(
        name='Upper Bound',
        x=df['Time'],
        y=df['Velocity']+df['SEM'],
        mode='lines',
        marker=dict(color="#444"),
        line=dict(width=1),
        showlegend=False
    ),
    go.Scatter(
        name='Lower Bound',
        x=df['Time'],
        y=df['Velocity']-df['SEM'],
        marker=dict(color="#444"),
        line=dict(width=1),
        mode='lines',
        fillcolor='rgba(68, 68, 68, 0.3)',
        fill='tonexty',
        showlegend=False
    )
])
fig.update_layout(
    yaxis_title='Wind speed (m/s)',
    title='Continuous, variable value error bars',
    hovermode="x"
)
fig.show()

Source: community.plotly.com

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"multiple plots using px.line" Code Answer's