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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!
import plotly.plotly as py
import plotly.graph_objs as go
data = [
go.Bar(
x=['-35.3', '-15.9', '-15.8', '-15.6', '-11.1',
'-9.6', '-9.2', '-3.5', '-1.9', '-0.9',
'1.0', '1.4', '1.7', '2.0', '2.8', '6.2',
'8.1', '8.5', '8.5', '8.6', '11.4', '12.5',
'13.3', '13.7', '14.4', '17.5', '17.7',
'18.9', '25.1', '28.9', '41.4'],
y=['Designers, musicians, artists, etc.',
'Secretaries and administrative assistants',
'Waiters and servers', 'Archivists, curators, and librarians',
'Sales and related', 'Childcare workers, home car workers, etc.',
'Food preparation occupations', 'Janitors, maids, etc.',
'Healthcare technicians, assistants. and aides',
'Counselors, social and religious workers',
'Physical, life and social scientists', 'Construction',
'Factory assembly workers', 'Machinists, repairmen, etc.',
'Media and communications workers', 'Teachers',
'Mechanics, repairmen, etc.', 'Financial analysts and advisers',
'Farming, fishing and forestry workers',
'Truck drivers, heavy equipment operator, etc.','Accountants and auditors',
'Human resources, management analysts, etc.', 'Managers',
'Lawyers and judges', 'Engineers, architects and surveyors',
'Nurses', 'Legal support workers',
'Computer programmers and system admin.', 'Police officers and firefighters',
'Chief executives', 'Doctors, dentists and surgeons'],
marker=dict(
color='rgb(253, 240, 54)',
line=dict(color='rgb(0, 0, 0)',
width=2)
),
orientation='h',
)
]
layout = go.Layout(
images=[dict(
source="https://raw.githubusercontent.com/cldougl/plot_images/add_r_img/vox.png",
xref="paper", yref="paper",
x=1, y=1.05,
sizex=0.2, sizey=0.2,
xanchor="right", yanchor="bottom"
)],
autosize=False, height=800, width=700,
bargap=0.15, bargroupgap=0.1,
barmode='stack', hovermode='x',
margin=dict(r=20, l=300,
b=75, t=125),
title='Moving Up, Moving Down<br><i>Percentile change in income between childhood and adulthood</i>',
xaxis=dict(
dtick=10, nticks=0,
gridcolor='rgba(102, 102, 102, 0.4)',
linecolor='#000', linewidth=1,
mirror=True,
showticklabels=True, tick0=0, tickwidth=1,
title='<i>Change in percentile</i>',
),
yaxis=dict(
anchor='x',
gridcolor='rgba(102, 102, 102, 0.4)', gridwidth=1,
linecolor='#000', linewidth=1,
mirror=True, showgrid=False,
showline=True, zeroline=False,
showticklabels=True, tick0=0,
type='category',
)
)
fig = go.Figure(data=data, layout=layout)
py.iplot(fig)import plotly.plotly as py
import plotly.graph_objs as go
fig = py.get_figure('https://plot.ly/~Dreamshot/8152/', raw=True)
fig['layout']['yaxis']['tickangle'] = 0
fig = go.Figure(fig)
fig.layout.images = [dict(
source="https://raw.githubusercontent.com/cldougl/plot_images/add_r_img/accuweather.jpeg",
xref="paper", yref="paper",
x=0.1, y=1.05,
sizex=0.4, sizey=0.4,
xanchor="center", yanchor="bottom"
)]
py.iplot(fig, fileopt='overwrite', filename='Logos/Florida_Rainfall_AccuWeather')import plotly.plotly as py
import plotly.plotly as py
import plotly.graph_objs as go
fig = py.get_figure('https://plot.ly/~Dreamshot/8160/', raw=True)
for j in range(len(fig['data'])):
del fig['data'][j]['autobinx']
del fig['data'][j]['autobiny']
fig = go.Figure(fig)
fig.layout.images = [dict(
source="https://raw.githubusercontent.com/cldougl/plot_images/add_r_img/bleacherreport.png",
xref="paper", yref="paper",
x=0.5, y=-0.35,
sizex=0.3, sizey=0.3,
xanchor="center", yanchor="top"
)]
py.iplot(fig, fileopt='overwrite', filename='Logos/Top_Earners_BleacherReport')import plotly.plotly as py
fig = py.get_figure('https://plot.ly/~Dreamshot/8158/')
fig.layout.images = [dict(
source="https://raw.githubusercontent.com/cldougl/plot_images/add_r_img/theverge.png",
xref="paper", yref="paper",
x=0.1, y=1.0,
sizex=0.2, sizey=0.3,
xanchor="center", yanchor="bottom"
)]
fig.layout.legend.orientation = 'h'
py.iplot(fig, fileopt='overwrite', filename='Logos/Apple_Labor_Violations_TheVerge')import plotly.plotly as py
fig = py.get_figure('https://plot.ly/~Dreamshot/8155/')
fig.layout.images = [dict(
source="https://raw.githubusercontent.com/cldougl/plot_images/add_r_img/politico.png",
xref="paper", yref="paper",
x=0.1, y=-0.2,
sizex=0.4, sizey=0.4,
xanchor="center", yanchor="bottom"
)]
py.iplot(fig, fileopt='overwrite', filename='Logos/Foreign_Policy_Politico')See https://plot.ly/python/images/ for more examples of adding images
and https://plot.ly/python/reference/#layout-images for more information and chart attribute options!
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(
'logos.ipynb', 'python/logos/', 'Add Logos to Charts',
'How to add images as logos to Plotly charts.',
title = 'Add Logos to Charts | plotly',
name = 'Logos',
has_thumbnail='false', thumbnail='thumbnail/your-tutorial-chart.jpg',
language='python', page_type='example_index',
display_as='style_opt', order=6,
ipynb= '~notebook_demo/92')