Bar Charts in Python
How to make Bar Charts in Python with Plotly.
New to Plotly?¶
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!
Version Check¶
Plotly's python package is updated frequently. Run pip install plotly --upgrade to use the latest version.
In [1]:
import plotly
plotly.__version__
Out[1]:
Basic Bar Chart¶
In [2]:
import plotly.plotly as py
import plotly.graph_objs as go
data = [go.Bar(
x=['giraffes', 'orangutans', 'monkeys'],
y=[20, 14, 23]
)]
py.iplot(data, filename='basic-bar')
Out[2]:
Grouped Bar Chart¶
In [3]:
import plotly.plotly as py
import plotly.graph_objs as go
trace1 = go.Bar(
x=['giraffes', 'orangutans', 'monkeys'],
y=[20, 14, 23],
name='SF Zoo'
)
trace2 = go.Bar(
x=['giraffes', 'orangutans', 'monkeys'],
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')
Out[3]:
Stacked Bar Chart¶
In [4]:
import plotly.plotly as py
import plotly.graph_objs as go
trace1 = go.Bar(
x=['giraffes', 'orangutans', 'monkeys'],
y=[20, 14, 23],
name='SF Zoo'
)
trace2 = go.Bar(
x=['giraffes', 'orangutans', 'monkeys'],
y=[12, 18, 29],
name='LA Zoo'
)
data = [trace1, trace2]
layout = go.Layout(
barmode='stack'
)
fig = go.Figure(data=data, layout=layout)
py.iplot(fig, filename='stacked-bar')
Out[4]:
Bar Chart with Hover Text¶
In [5]:
import plotly.plotly as py
import plotly.graph_objs as go
trace0 = go.Bar(
x=['Product A', 'Product B', 'Product C'],
y=[20, 14, 23],
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',
)
fig = go.Figure(data=data, layout=layout)
py.iplot(fig, filename='text-hover-bar')
Out[5]:
Bar Chart with Direct Labels¶
In [6]:
import plotly.plotly as py
import plotly.graph_objs as go
x = ['Product A', 'Product B', 'Product C']
y = [20, 14, 23]
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
)]
py.iplot(data, filename='bar-direct-labels')
Out[6]:
Grouped Bar Chart with Direct Labels¶
In [7]:
import plotly.plotly as py
import plotly.graph_objs as go
x = ['Product A', 'Product B', 'Product C']
y = [20, 14, 23]
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]
py.iplot(data, filename='grouped-bar-direct-labels')
Out[7]:
Rotated Bar Chart Labels¶
In [8]:
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(
x=['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun',
'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec'],
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',
)
fig = go.Figure(data=data, layout=layout)
py.iplot(fig, filename='angled-text-bar')
Out[8]:
Customizing Individual Bar Colors¶
In [9]:
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'],
y=[20, 14, 23, 25, 22],
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',
)
fig = go.Figure(data=data, layout=layout)
py.iplot(fig, filename='color-bar')
Out[9]:
Customizing Individual Bar Widths¶
In [10]:
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]
fig = go.Figure(data=data)
py.iplot(fig, filename='width-bar')
Out[10]:
Customizing Individual Bar Base¶
In [11]:
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(
x = ['2016','2017','2018'],
y = [300,400,700],
base = 0,
marker = dict(
color = 'blue'
),
name = 'revenue'
)
]
fig = go.Figure(data=data)
py.iplot(fig, filename='base-bar')
Out[11]:
Colored and Styled Bar Chart¶
In [12]:
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(
x=[1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003,
2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012],
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
)
fig = go.Figure(data=data, layout=layout)
py.iplot(fig, filename='style-bar')
Out[12]:
Waterfall Bar Chart¶
In [13]:
import plotly.plotly as py
import plotly.graph_objs as go
x_data = ['Product<br>Revenue', 'Services<br>Revenue',
'Total<br>Revenue', 'Fixed<br>Costs',
'Variable<br>Costs', 'Total<br>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
fig = go.Figure(data=data, layout=layout)
py.iplot(fig, filename='waterfall-bar-profit')
Out[13]:
Bar Chart with Relative Barmode¶
In [14]:
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')
Out[14]:
Reference¶
See https://plot.ly/python/reference/#bar for more information and chart attribute options!
