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plotly:

description:How to make horizontal bar charts in Python with Plotly.

display_as:basic

permalink:python/horizontal-bar-charts/

thumbnail:thumbnail/horizontal-bar.jpg

title:Horizontal Bar Charts | plotly

v4upgrade:true

Plotly's Python library is free and open source by downloading the client and[reading the primer](https://plot.ly/python/getting-started/).

<br>You can set up Plotly to work in[online](https://plot.ly/python/getting-started/#initialization-for-online-plotting) or[offline](https://plot.ly/python/getting-started/#initialization-for-offline-plotting) mode, or in[jupyter notebooks](https://plot.ly/python/getting-started/#start-plotting-online).

<br>We also have a quick-reference[cheatsheet](https://images.plot.ly/plotly-documentation/images/python_cheat_sheet.pdf) (new!) to help you get started!

Plotly's python package is updated frequently. Run`pip install plotly --upgrade` to use the latest version.

See more examples of bar charts (including vertical bar charts) and styling options[here](https://plot.ly/python/bar-charts/).

Plotly express functions take as argument a tidy[pandas DataFrame](https://pandas.pydata.org/pandas-docs/stable/getting_started/10min.html). For a horizontal bar char, use the`px.bar` function with`orientation='h'`.

import plotly.expressas px

tips= px.data.tips()

fig= px.bar(tips,x="total_bill",y="day",orientation='h')

fig.show()

In this example a column is used to color the bars, and we add the information from other columns to the hover data.

import plotly

plotly.__version__

import plotly.expressas px

tips= px.data.tips()

fig= px.bar(tips,x="total_bill",y="sex",color='day',orientation='h',

hover_data=["tip","size"],

height=400,

title='Restaurant bills')

fig.show()

When data are not available as a tidy dataframe, you can use the more generic function`go.Bar` from`plotly.graph_objects`. All the options of`go.Bar` are documented in the referencehttps://plot.ly/python/reference/#bar

import plotly.plotlyas py

import plotly.graph_objsas go

import plotly.graph_objectsas go

data=[go.Bar(

fig=go.Figure(go.Bar(

x=[20,14,23],

y=['giraffes','orangutans','monkeys'],

)]

orientation='h'))

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

fig.show()

import plotly.plotlyas py

import plotly.graph_objsas go

import plotly.graph_objectsas go

trace1= go.Bar(

fig= go.Figure()

fig.add_trace(go.Bar(

y=['giraffes','orangutans','monkeys'],

x=[20,14,23],

name='SF Zoo',

orientation='h',

marker=dict(

color='rgba(246, 78, 139, 0.6)',

line=dict(

color='rgba(246, 78, 139, 1.0)',

width=3)

orientation='h',

marker=dict(

color='rgba(246, 78, 139, 0.6)',

line=dict(color='rgba(246, 78, 139, 1.0)',width=3)

)

)

trace2=go.Bar(

))

fig.add_trace(go.Bar(

y=['giraffes','orangutans','monkeys'],

x=[12,18,29],

name='LA Zoo',

orientation='h',

marker=dict(

color='rgba(58, 71, 80, 0.6)',

line=dict(

color='rgba(58, 71, 80, 1.0)',

width=3)

orientation='h',

marker=dict(

color='rgba(58, 71, 80, 0.6)',

line=dict(color='rgba(58, 71, 80, 1.0)',width=3)

)

)

data= [trace1, trace2]

layout= go.Layout(

)

))

fig= go.Figure(data=data,layout=layout)

py.iplot(fig,filename='marker-h-bar')

fig.update_layout(barmode='stack')

fig.show()

import plotly.plotlyas py

import plotly.graph_objsas go

import plotly.graph_objectsas go

top_labels= ['Strongly<br>agree','Agree','Neutral','Disagree',

'Strongly<br>disagree']

'my<br>ability to think critically about<br>the subject',

'I would recommend this<br>course to a friend']

traces= []

fig= go.Figure()

for iinrange(0,len(x_data[0])):

for xd, ydinzip(x_data, y_data):

traces.append(go.Bar(

x=[xd[i]],

y=[yd],

fig.add_trace(go.Bar(

x=[xd[i]],y=[yd],

orientation='h',

marker=dict(

color=colors[i],

line=dict(

color='rgb(248, 248, 249)',

width=1)

line=dict(color='rgb(248, 248, 249)',width=1)

)

))

layout= go.Layout(

fig.update_layout(

xaxis=dict(

showgrid=False,

showline=False,

barmode='stack',

paper_bgcolor='rgb(248, 248, 255)',

plot_bgcolor='rgb(248, 248, 255)',

margin=dict(

l=120,

r=10,

t=140,

),

margin=dict(l=120,r=10,t=140,b=80),

showlegend=False,

)

showarrow=False))

space+= xd[i]

layout['annotations']=annotations

fig.update_layout(annotations=annotations)

fig= go.Figure(data=traces,layout=layout)

py.iplot(fig,filename='bar-colorscale')

fig.show()

import plotly.plotlyas py

import plotly.graph_objsas go

from plotlyimport tools

import plotly.graph_objectsas go

from plotly.subplotsimport make_subplots

import numpyas np

y_net_worth= [93453.919999999998,81666.570000000007,69889.619999999995,

78381.529999999999,141395.29999999999,92969.020000000004,

66090.179999999993,122379.3]

x_saving= ['Japan','United Kingdom','Canada','Netherlands',

'United States','Belgium','Sweden','Switzerland']

x_net_worth= ['Japan','United Kingdom','Canada','Netherlands',

'United States','Belgium','Sweden','Switzerland'

]

trace0= go.Bar(

x= ['Japan','United Kingdom','Canada','Netherlands',

'United States','Belgium','Sweden','Switzerland']

fig= make_subplots(rows=1,cols=2,specs=[[{}, {}]],shared_xaxes=True,

shared_yaxes=False,vertical_spacing=0.001)

fig.append_trace(go.Bar(

x=y_saving,

y=x_saving,

y=x,

marker=dict(

color='rgba(50, 171, 96, 0.6)',

line=dict(

),

name='Household savings, percentage of household disposable income',

orientation='h',

)

y=x_net_worth,

),1,1)

x=y_net_worth,y=x,

mode='lines+markers',

line=dict(

color='rgb(128, 0, 128)'),

line_color='rgb(128, 0, 128)',

name='Household net worth, Million USD/capita',

)

layout=dict(

),1,2)

fig.update_layout(

title='Household savings & net worth for eight OECD countries',

yaxis=dict(

showgrid=False,

side='top',

dtick=25000,

),

legend=dict(

x=0.029,

y=1.038,

font=dict(

size=10,

),

),

margin=dict(

l=100,

r=20,

t=70,

b=70,

),

legend=dict(x=0.029,y=1.038,font_size=10),

margin=dict(l=100,r=20,t=70,b=70),

paper_bgcolor='rgb(248, 248, 255)',

plot_bgcolor='rgb(248, 248, 255)',

)

y_nw= np.rint(y_net_worth)

for ydn, yd, xdinzip(y_nw, y_s,x_saving):

for ydn, yd, xdinzip(y_nw, y_s,x):

annotations.append(dict(xref='x2',yref='y2',

y=xd,x=ydn-20000,

'10.1787/cfc6f499-en (Accessed on 05 June 2015)',

font=dict(family='Arial',size=10,

color='rgb(150,150,150)'),

font=dict(family='Arial',size=10,color='rgb(150,150,150)'),

showarrow=False))

layout['annotations']= annotations

fig= tools.make_subplots(rows=1,cols=2,specs=[[{}, {}]],shared_xaxes=True,

shared_yaxes=False,vertical_spacing=0.001)

fig.append_trace(trace0,1,1)

fig.append_trace(trace1,1,2)

fig.update_layout(annotations=annotations)

fig['layout'].update(layout)

py.iplot(fig,filename='oecd-networth-saving-bar-line')

fig.show()

See more examples of bar charts and styling options[here](https://plot.ly/python/bar-charts/).<br> Seehttps://plot.ly/python/reference/#bar for more information and chart attribute options!

from IPython.displayimport 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">'))

import publisher

publisher.publish(

'horizontal-bars.ipynb','python/horizontal-bar-charts/','Horizontal Bar Charts | plotly',

'How to make horizontal bar charts in Python with Plotly.',

title='Horizontal Bar Charts | plotly',

name='Horizontal Bar Charts',

thumbnail='thumbnail/horizontal-bar.jpg',language='python',

has_thumbnail='true',display_as='basic',order=5,

ipynb='~notebook_demo/5')