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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!
Plotly's Python API is updated frequently. Run pip install plotly --upgrade
to update your version.
import plotly
plotly.__version__
'2.4.1'
import plotly.plotly as py
import plotly.graph_objs as go
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 = go.Scatter(
x=x+x_rev,
y=y1_upper+y1_lower,
fill='tozerox',
fillcolor='rgba(0,100,80,0.2)',
line=dict(color='rgba(255,255,255,0)'),
showlegend=False,
name='Fair',
)
trace2 = go.Scatter(
x=x+x_rev,
y=y2_upper+y2_lower,
fill='tozerox',
fillcolor='rgba(0,176,246,0.2)',
line=dict(color='rgba(255,255,255,0)'),
name='Premium',
showlegend=False,
)
trace3 = go.Scatter(
x=x+x_rev,
y=y3_upper+y3_lower,
fill='tozerox',
fillcolor='rgba(231,107,243,0.2)',
line=dict(color='rgba(255,255,255,0)'),
showlegend=False,
name='Ideal',
)
trace4 = go.Scatter(
x=x,
y=y1,
line=dict(color='rgb(0,100,80)'),
mode='lines',
name='Fair',
)
trace5 = go.Scatter(
x=x,
y=y2,
line=dict(color='rgb(0,176,246)'),
mode='lines',
name='Premium',
)
trace6 = go.Scatter(
x=x,
y=y3,
line=dict(color='rgb(231,107,243)'),
mode='lines',
name='Ideal',
)
data = [trace1, trace2, trace3, trace4, trace5, trace6]
layout = go.Layout(
paper_bgcolor='rgb(255,255,255)',
plot_bgcolor='rgb(229,229,229)',
xaxis=dict(
gridcolor='rgb(255,255,255)',
range=[1,10],
showgrid=True,
showline=False,
showticklabels=True,
tickcolor='rgb(127,127,127)',
ticks='outside',
zeroline=False
),
yaxis=dict(
gridcolor='rgb(255,255,255)',
showgrid=True,
showline=False,
showticklabels=True,
tickcolor='rgb(127,127,127)',
ticks='outside',
zeroline=False
),
)
fig = go.Figure(data=data, layout=layout)
py.iplot(fig, filename= 'shaded_lines')
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')
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(
'cont-error-bars.ipynb', 'python/continuous-error-bars/', 'Continuous Error Bars',
'Add continuous error bars to charts in Python with Plotly.',
title = 'Continuous Error Bars | plotly',
name = 'Continuous Error Bars',
thumbnail='thumbnail/error-cont.jpg', language='python',
has_thumbnail='true', display_as='statistical', order=2,
ipynb='~notebook_demo/19')
/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.