Show Sidebar Hide Sidebar

Continuous Error Bars in Python

Add continuous error bars to charts in Python with Plotly.

New to Plotly?

Plotly's Python library is free and open source! Get started by downloading the client and reading the primer.
You can set up Plotly to work in online or offline mode, or in jupyter notebooks.
We also have a quick-reference cheatsheet (new!) to help you get started!

Version Check

Plotly's Python API is updated frequently. Run pip install plotly --upgrade to update your version.

In [3]:
import plotly
plotly.__version__
Out[3]:
'2.0.2'

Basic Continuous Error Bars

In [4]:
import plotly.plotly as py
from plotly.graph_objs import *

x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
x_rev = x[::-1]

# Line 1
y1 = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
y1_upper = [2, 3, 4, 5, 6, 7, 8, 9, 10, 11]
y1_lower = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
y1_lower = y1_lower[::-1]

# Line 2
y2 = [5, 2.5, 5, 7.5, 5, 2.5, 7.5, 4.5, 5.5, 5]
y2_upper = [5.5, 3, 5.5, 8, 6, 3, 8, 5, 6, 5.5]
y2_lower = [4.5, 2, 4.4, 7, 4, 2, 7, 4, 5, 4.75]
y2_lower = y2_lower[::-1]

# Line 3
y3 = [10, 8, 6, 4, 2, 0, 2, 4, 2, 0]
y3_upper = [11, 9, 7, 5, 3, 1, 3, 5, 3, 1]
y3_lower = [9, 7, 5, 3, 1, -.5, 1, 3, 1, -1]
y3_lower = y3_lower[::-1]

trace1 = Scatter(
    x=x+x_rev,
    y=y1_upper+y1_lower,
    fill='tozerox',
    fillcolor='rgba(0,100,80,0.2)',
    line=Line(color='transparent'),
    showlegend=False,
    name='Fair',
)
trace2 = Scatter(
    x=x+x_rev,
    y=y2_upper+y2_lower,
    fill='tozerox',
    fillcolor='rgba(0,176,246,0.2)',
    line=Line(color='transparent'),
    name='Premium',
    showlegend=False,
)
trace3 = Scatter(
    x=x+x_rev,
    y=y3_upper+y3_lower,
    fill='tozerox',
    fillcolor='rgba(231,107,243,0.2)',
    line=Line(color='transparent'),
    showlegend=False,
    name='Fair',
)
trace4 = Scatter(
    x=x,
    y=y1,
    line=Line(color='rgb(0,100,80)'),
    mode='lines',
    name='Fair',
)
trace5 = Scatter(
    x=x,
    y=y2,
    line=Line(color='rgb(0,176,246)'),
    mode='lines',
    name='Premium',
)
trace6 = Scatter(
    x=x,
    y=y3,
    line=Line(color='rgb(231,107,243)'),
    mode='lines',
    name='Ideal',
)

data = Data([trace1, trace2, trace3, trace4, trace5, trace6])

layout = Layout(
    paper_bgcolor='rgb(255,255,255)',
    plot_bgcolor='rgb(229,229,229)',
    xaxis=XAxis(
        gridcolor='rgb(255,255,255)',
        range=[1,10],
        showgrid=True,
        showline=False,
        showticklabels=True,
        tickcolor='rgb(127,127,127)',
        ticks='outside',
        zeroline=False
    ),
    yaxis=YAxis(
        gridcolor='rgb(255,255,255)',
        showgrid=True,
        showline=False,
        showticklabels=True,
        tickcolor='rgb(127,127,127)',
        ticks='outside',
        zeroline=False
    ),
)
fig = Figure(data=data, layout=layout)
py.iplot(fig, filename= 'shaded_lines')
Out[4]:

Asymmetric Error Bars with a Constant Offset

In [5]:
import plotly.plotly as py
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')

upper_bound = 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=0),
    fillcolor='rgba(68, 68, 68, 0.3)',
    fill='tonexty')

trace = go.Scatter(
    name='Measurement',
    x=df['Time'],
    y=df['10 Min Sampled Avg'],
    mode='lines',
    line=dict(color='rgb(31, 119, 180)'),
    fillcolor='rgba(68, 68, 68, 0.3)',
    fill='tonexty')

lower_bound = 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=0),
    mode='lines')

# Trace order can be important
# with continuous error bars
data = [lower_bound, trace, upper_bound]

layout = go.Layout(
    yaxis=dict(title='Wind speed (m/s)'),
    title='Continuous, variable value error bars.<br>Notice the hover text!',
    showlegend = False)

fig = go.Figure(data=data, layout=layout)
py.iplot(fig, filename='pandas-continuous-error-bars')
Out[5]:
Still need help?
Contact Us

For guaranteed 24 hour response turnarounds, upgrade to a Developer Support Plan.