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Basic Symmetric Error Bars¶

In [1]:

import plotly.plotly as py
import plotly.graph_objs as go

data = [
    go.Scatter(
        x=[0, 1, 2],
        y=[6, 10, 2],
        error_y=dict(
            type='data',
            array=[1, 2, 3],
            visible=True
        )
    )
]

py.iplot(data, filename='basic-error-bar')

Out[1]:

Asymmetric Error Bars¶

In [2]:

import plotly.plotly as py
import plotly.graph_objs as go

data = [
    go.Scatter(
        x=[1, 2, 3, 4],
        y=[2, 1, 3, 4],
        error_y=dict(
            type='data',
            symmetric=False,
            array=[0.1, 0.2, 0.1, 0.1],
            arrayminus=[0.2, 0.4, 1, 0.2]
        )
    )
]
py.iplot(data, filename='error-bar-asymmetric-array')

Out[2]:

Error Bars as a Percentage of the y Value¶

In [3]:

import plotly.plotly as py
import plotly.graph_objs as go

data = [
    go.Scatter(
        x=[0, 1, 2],
        y=[6, 10, 2],
        error_y=dict(
            type='percent',
            value=50,
            visible=True
        )
    )
]
py.iplot(data, filename='percent-error-bar')

Out[3]:

Asymmetric Error Bars with a Constant Offset¶

In [4]:

import plotly.plotly as py
import plotly.graph_objs as go

data = [
    go.Scatter(
        x=[1, 2, 3, 4],
        y=[2, 1, 3, 4],
        error_y=dict(
            type='percent',
            symmetric=False,
            value=15,
            valueminus=25
        )
    )
]
py.iplot(data, filename='error-bar-asymmetric-constant')

Out[4]:

Horizontal Error Bars¶

In [5]:

import plotly.plotly as py
import plotly.graph_objs as go

data = [
    go.Scatter(
        x=[1, 2, 3, 4],
        y=[2, 1, 3, 4],
        error_x=dict(
            type='percent',
            value=10
        )
    )
]
py.iplot(data, filename='error-bar-horizontal')

Out[5]:

Bar Chart with Error Bars¶

In [6]:

import plotly.plotly as py
import plotly.graph_objs as go

trace1 = go.Bar(
    x=['Trial 1', 'Trial 2', 'Trial 3'],
    y=[3, 6, 4],
    name='Control',
    error_y=dict(
        type='data',
        array=[1, 0.5, 1.5],
        visible=True
    )
)
trace2 = go.Bar(
    x=['Trial 1', 'Trial 2', 'Trial 3'],
    y=[4, 7, 3],
    name='Experimental',
    error_y=dict(
        type='data',
        array=[0.5, 1, 2],
        visible=True
    )
)
data = [trace1, trace2]
layout = go.Layout(
    barmode='group'
)
fig = go.Figure(data=data, layout=layout)
py.iplot(fig, filename='error-bar-bar')

Out[6]:

Colored and Styled Error Bars¶

In [1]:

import plotly.plotly as py
import plotly.graph_objs as go

import numpy as np

x_theo = np.linspace(-4, 4, 100)
sincx = np.sinc(x_theo)
x = [-3.8, -3.03, -1.91, -1.46, -0.89, -0.24, -0.0, 0.41, 0.89, 1.01, 1.91, 2.28, 2.79, 3.56]
y = [-0.02, 0.04, -0.01, -0.27, 0.36, 0.75, 1.03, 0.65, 0.28, 0.02, -0.11, 0.16, 0.04, -0.15]

trace1 = go.Scatter(
    x=x_theo,
    y=sincx,
    name='sinc(x)'
)
trace2 = go.Scatter(
    x=x,
    y=y,
    mode='markers',
    name='measured',
    error_y=dict(
        type='constant',
        value=0.1,
        color='#85144B',
        thickness=1.5,
        width=3,
    ),
    error_x=dict(
        type='constant',
        value=0.2,
        color='#85144B',
        thickness=1.5,
        width=3,
    ),
    marker=dict(
        color='#85144B',
        size=8
    )
)
data = [trace1, trace2]
py.iplot(data, filename='error-bar-style')

Out[1]:

Reference¶

See https://plotly.com/python/reference/#scatter for more information and chart attribute options!

In [2]:

from IPython.display import display, HTML

display(HTML('<link href="//fonts.googleapis.com/css?family=Open+Sans:600,400,300,200|Inconsolata|Ubuntu+Mono:400,700" rel="stylesheet" type="text/css" />'))
display(HTML('<link rel="stylesheet" type="text/css" href="http://help.plot.ly/documentation/all_static/css/ipython-notebook-custom.css">'))

! pip install git+https://github.com/plotly/publisher.git --upgrade
import publisher
publisher.publish(
    'error-bars.ipynb', 'python/error-bars/', 'Error Bars | plotly',
    'How to add error-bars to charts in Python with Plotly.',
    title = 'Error Bars | plotly',
    name = 'Error Bars',
    thumbnail='thumbnail/error-bar.jpg', language='python',
    page_type='example_index', has_thumbnail='true', display_as='statistical', order=1,
    ipynb='~notebook_demo/18')

Collecting git+https://github.com/plotly/publisher.git
  Cloning https://github.com/plotly/publisher.git to /private/var/folders/tc/bs9g6vrd36q74m5t8h9cgphh0000gn/T/pip-req-build-FHZDff
Building wheels for collected packages: publisher
  Running setup.py bdist_wheel for publisher ... done
  Stored in directory: /private/var/folders/tc/bs9g6vrd36q74m5t8h9cgphh0000gn/T/pip-ephem-wheel-cache-gwfx1n/wheels/99/3e/a0/fbd22ba24cca72bdbaba53dbc23c1768755fb17b3af0f33966
Successfully built publisher
Installing collected packages: publisher
  Found existing installation: publisher 0.11
    Uninstalling publisher-0.11:
      Successfully uninstalled publisher-0.11
Successfully installed publisher-0.11

/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/IPython/nbconvert.py:13: ShimWarning:

The `IPython.nbconvert` package has been deprecated since IPython 4.0. You should import from nbconvert instead.

/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/publisher/publisher.py:53: UserWarning:

Did you "Save" this notebook before running this command? Remember to save, always save.

In [ ]: