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---

permalink: python/bar-charts/

description: How to make Bar Charts in Python with Plotly.

has_thumbnail: true

thumbnail: thumbnail/bar.jpg

language: python

title: Bar Charts | plotly

display_as: basic

has_thumbnail: true

page_type: example_index

order: 4

ipynb: ~notebook_demo/186

---

{% raw %}

</div>

<h4 id="New-to-Plotly?">New to Plotly?<a class="anchor-link" href="#New-to-Plotly?">¶</a></h4>Plotly's Python library is free and open source! <a href="https://plot.ly/python/getting-started/">Get started</a> by downloading the client and <a href="https://plot.ly/python/getting-started/">reading the primer</a>.

You can set up Plotly to work in <a href="https://plot.ly/python/getting-started/#initialization-for-online-plotting">online</a> or <a href="https://plot.ly/python/getting-started/#initialization-for-offline-plotting">offline</a> mode, or in <a href="https://plot.ly/python/getting-started/#start-plotting-online">jupyter notebooks</a>.

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

<h4 id="Version-Check">Version Check<a class="anchor-link" href="#Version-Check">¶</a></h4>Plotly's python package is updated frequently. Run <code>pip install plotly --upgrade</code> to use the latest version.

</div>

<div class=" highlight hl-ipython2"><pre>import plotly

plotly.__version__

</pre></div>

</div>

</div>

</div>

<h4 id="Basic-Bar-Chart">Basic Bar Chart<a class="anchor-link" href="#Basic-Bar-Chart">¶</a></h4>

</div>

<div class=" highlight hl-ipython2"><pre>import plotly.plotly as py

import plotly.graph_objs as go

data = [go.Bar(

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

)]

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

</pre></div>

</div>

</div>

</div>

<h4 id="Grouped-Bar-Chart">Grouped Bar Chart<a class="anchor-link" href="#Grouped-Bar-Chart">¶</a></h4>

</div>

<div class=" highlight hl-ipython2"><pre>import plotly.plotly as py

import plotly.graph_objs as go

trace1 = go.Bar(

name='SF Zoo'

)

trace2 = go.Bar(

y=[12, 18, 29],

name='LA Zoo'

)

data = [trace1, trace2]

layout = go.Layout(

barmode='group'

)

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

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

</pre></div>

</div>

</div>

</div>

<h3 id="Stacked-Bar-Chart">Stacked Bar Chart<a class="anchor-link" href="#Stacked-Bar-Chart">¶</a></h3>

</div>

<div class=" highlight hl-ipython2"><pre>import plotly.plotly as py

import plotly.graph_objs as go

trace1 = go.Bar(

name='SF Zoo'

)

trace2 = go.Bar(

name='LA Zoo'

)

data = [trace1, trace2]

layout = go.Layout(

barmode='stack'

)

</pre></div>

</div>

</div>

</div>

<h3 id="Bar-Chart-with-Hover-Text">Bar Chart with Hover Text<a class="anchor-link" href="#Bar-Chart-with-Hover-Text">¶</a></h3>

</div>

<div class=" highlight hl-ipython2"><pre>import plotly.plotly as py

import plotly.graph_objs as go

trace0 = go.Bar(

x=['Product A', 'Product B', 'Product C'],

text=['27% market share', '24% market share', '19% market share'],

marker=dict(

color='rgb(158,202,225)',

line=dict(

color='rgb(8,48,107)',

width=1.5,

)

),

opacity=0.6

)

data = [trace0]

layout = go.Layout(

title='January 2013 Sales Report',

)

</pre></div>

</div>

</div>

</div>

<h3 id="Bar-Chart-with-Direct-Labels">Bar Chart with Direct Labels<a class="anchor-link" href="#Bar-Chart-with-Direct-Labels">¶</a></h3>

</div>

<div class=" highlight hl-ipython2"><pre>import plotly.plotly as py

import plotly.graph_objs as go

x = ['Product A', 'Product B', 'Product C']

data = [go.Bar(

x=x,

y=y,

text=y,

textposition = 'auto',

marker=dict(

color='rgb(158,202,225)',

line=dict(

color='rgb(8,48,107)',

width=1.5),

),

opacity=0.6

)]

</pre></div>

</div>

</div>

</div>

<h3 id="Grouped-Bar-Chart-with-Direct-Labels">Grouped Bar Chart with Direct Labels<a class="anchor-link" href="#Grouped-Bar-Chart-with-Direct-Labels">¶</a></h3>

</div>

<div class=" highlight hl-ipython2"><pre>import plotly.plotly as py

import plotly.graph_objs as go

x = ['Product A', 'Product B', 'Product C']

y2 = [16,12,27]

trace1 = go.Bar(

x=x,

y=y,

text=y,

textposition = 'auto',

marker=dict(

color='rgb(158,202,225)',

line=dict(

color='rgb(8,48,107)',

width=1.5),

),

opacity=0.6

)

trace2 = go.Bar(

x=x,

y=y2,

text=y2,

textposition = 'auto',

marker=dict(

color='rgb(58,200,225)',

line=dict(

color='rgb(8,48,107)',

width=1.5),

),

opacity=0.6

)

data = [trace1,trace2]

</pre></div>

</div>

</div>

</div>

<h3 id="Rotated-Bar-Chart-Labels">Rotated Bar Chart Labels<a class="anchor-link" href="#Rotated-Bar-Chart-Labels">¶</a></h3>

</div>

<div class=" highlight hl-ipython2"><pre>import plotly.plotly as py

import plotly.graph_objs as go

trace0 = go.Bar(

x=['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun',

'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec'],

y=[20, 14, 25, 16, 18, 22, 19, 15, 12, 16, 14, 17],

name='Primary Product',

marker=dict(

color='rgb(49,130,189)'

)

trace1 = go.Bar(

y=[19, 14, 22, 14, 16, 19, 15, 14, 10, 12, 12, 16],

name='Secondary Product',

marker=dict(

color='rgb(204,204,204)',

)

data = [trace0, trace1]

layout = go.Layout(

xaxis=dict(tickangle=-45),

barmode='group',

)

</pre></div>

</div>

</div>

</div>

<h3 id="Customizing-Individual-Bar-Colors">Customizing Individual Bar Colors<a class="anchor-link" href="#Customizing-Individual-Bar-Colors">¶</a></h3>

</div>

<div class=" highlight hl-ipython2"><pre>import plotly.plotly as py

import plotly.graph_objs as go

trace0 = go.Bar(

x=['Feature A', 'Feature B', 'Feature C',

'Feature D', 'Feature E'],

marker=dict(

color=['rgba(204,204,204,1)', 'rgba(222,45,38,0.8)',

'rgba(204,204,204,1)', 'rgba(204,204,204,1)',

'rgba(204,204,204,1)']),

)

data = [trace0]

layout = go.Layout(

title='Least Used Feature',

)

</pre></div>

</div>

</div>

</div>

<h3 id="Customizing-Individual-Bar-Widths">Customizing Individual Bar Widths<a class="anchor-link" href="#Customizing-Individual-Bar-Widths">¶</a></h3>

</div>

<div class=" highlight hl-ipython2"><pre>import plotly.plotly as py

import plotly.graph_objs as go

trace0 = go.Bar(

x=[1, 2, 3, 5.5, 10],

y=[10, 8, 6, 4, 2],

width = [0.8, 0.8, 0.8, 3.5, 4]

)

data = [trace0]

</pre></div>

</div>

</div>

</div>

<h3 id="Customizing-Individual-Bar-Base">Customizing Individual Bar Base<a class="anchor-link" href="#Customizing-Individual-Bar-Base">¶</a></h3>

</div>

<div class=" highlight hl-ipython2"><pre>import plotly.plotly as py

import plotly.graph_objs as go

data = [

go.Bar(

x = ['2016','2017','2018'],

y = [500,600,700],

base = [-500,-600,-700],

marker = dict(

color = 'red'

),

name = 'expenses'

),

go.Bar(

y = [300,400,700],

base = 0,

marker = dict(

color = 'blue'

),

name = 'revenue'

)

]

</pre></div>

</div>

</div>

</div>

<h3 id="Colored-and-Styled-Bar-Chart">Colored and Styled Bar Chart<a class="anchor-link" href="#Colored-and-Styled-Bar-Chart">¶</a></h3>

</div>

<div class=" highlight hl-ipython2"><pre>import plotly.plotly as py

import plotly.graph_objs as go

trace1 = go.Bar(

x=[1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003,

2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012],

y=[219, 146, 112, 127, 124, 180, 236, 207, 236, 263,

350, 430, 474, 526, 488, 537, 500, 439],

name='Rest of world',

marker=dict(

color='rgb(55, 83, 109)'

)

trace2 = go.Bar(

y=[16, 13, 10, 11, 28, 37, 43, 55, 56, 88, 105, 156, 270,

299, 340, 403, 549, 499],

name='China',

marker=dict(

color='rgb(26, 118, 255)'

)

data = [trace1, trace2]

layout = go.Layout(

title='US Export of Plastic Scrap',

xaxis=dict(

tickfont=dict(

size=14,

color='rgb(107, 107, 107)'

)

),

yaxis=dict(

title='USD (millions)',

titlefont=dict(

size=16,

color='rgb(107, 107, 107)'

),

tickfont=dict(

size=14,

color='rgb(107, 107, 107)'

)

),

legend=dict(

x=0,

y=1.0,

bgcolor='rgba(255, 255, 255, 0)',

bordercolor='rgba(255, 255, 255, 0)'

),

barmode='group',

bargap=0.15,

bargroupgap=0.1

)

</pre></div>

</div>

</div>

</div>

<h3 id="Waterfall-Bar-Chart">Waterfall Bar Chart<a class="anchor-link" href="#Waterfall-Bar-Chart">¶</a></h3>

</div>

<div class=" highlight hl-ipython2"><pre>import plotly.plotly as py

import plotly.graph_objs as go

x_data = ['Product Revenue', 'Services Revenue',

'Total Revenue', 'Fixed Costs',

'Variable Costs', 'Total Costs', 'Total']

y_data = [400, 660, 660, 590, 400, 400, 340]

text = ['$430K', '$260K', '$690K', '$-120K', '$-200K', '$-320K', '$370K']

# Base

trace0 = go.Bar(

x=x_data,

y=[0, 430, 0, 570, 370, 370, 0],

marker=dict(

color='rgba(1,1,1, 0.0)',

)

# Revenue

trace1 = go.Bar(

x=x_data,

y=[430, 260, 690, 0, 0, 0, 0],

marker=dict(

color='rgba(55, 128, 191, 0.7)',

line=dict(

color='rgba(55, 128, 191, 1.0)',

width=2,

)

# Costs

trace2 = go.Bar(

x=x_data,

y=[0, 0, 0, 120, 200, 320, 0],

marker=dict(

color='rgba(219, 64, 82, 0.7)',

line=dict(

color='rgba(219, 64, 82, 1.0)',

width=2,

)

# Profit

trace3 = go.Bar(

x=x_data,

y=[0, 0, 0, 0, 0, 0, 370],

marker=dict(

color='rgba(50, 171, 96, 0.7)',

line=dict(

color='rgba(50, 171, 96, 1.0)',

width=2,

)

data = [trace0, trace1, trace2, trace3]

layout = go.Layout(

title='Annual Profit- 2015',

barmode='stack',

paper_bgcolor='rgba(245, 246, 249, 1)',

plot_bgcolor='rgba(245, 246, 249, 1)',

showlegend=False

)

annotations = []

for i in range(0, 7):

annotations.append(dict(x=x_data[i], y=y_data[i], text=text[i],

font=dict(family='Arial', size=14,

color='rgba(245, 246, 249, 1)'),

showarrow=False,))

layout['annotations'] = annotations

</pre></div>

</div>

</div>

</div>

<h3 id="Bar-Chart-with-Relative-Barmode">Bar Chart with Relative Barmode<a class="anchor-link" href="#Bar-Chart-with-Relative-Barmode">¶</a></h3>

</div>

<div class=" highlight hl-ipython2"><pre>x = [1, 2, 3, 4]

trace1 = {

'x': x,

'y': [1, 4, 9, 16],

'name': 'Trace1',

'type': 'bar'

};

trace2 = {

'x': x,

'y': [6, -8, -4.5, 8],

'name': 'Trace2',

'type': 'bar'

};

trace3 = {

'x': x,

'y': [-15, -3, 4.5, -8],

'name': 'Trace3',

'type': 'bar'

}

trace4 = {

'x': x,

'y': [-1, 3, -3, -4],

'name': 'Trace4',

'type': 'bar'

}

data = [trace1, trace2, trace3, trace4];

layout = {

'xaxis': {'title': 'X axis'},

'yaxis': {'title': 'Y axis'},

'barmode': 'relative',

'title': 'Relative Barmode'

};

py.iplot({'data': data, 'layout': layout}, filename='barmode-relative')

</pre></div>

</div>

</div>

</div>

<h3 id="Horizontal-Bar-Charts">Horizontal Bar Charts<a class="anchor-link" href="#Horizontal-Bar-Charts">¶</a></h3>See examples of horizontal bar charts <a href="https://plot.ly/python/horizontal-bar-charts/">here</a>.

</div>

</div>

<h3 id="Reference">Reference<a class="anchor-link" href="#Reference">¶</a></h3>See <a href="https://plot.ly/python/reference/#bar">https://plot.ly/python/reference/#bar</a> for more information and chart attribute options!

</div>

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