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description:How to make Heatmaps in Python with Plotly.

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redirect_from:python/heatmap/

thumbnail:thumbnail/heatmap.jpg

title:Python Heatmaps | 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.

import plotly

plotly.__version__

import plotly.plotlyas py

import plotly.graph_objsas go

import plotly.graph_objectsas go

trace= go.Heatmap(z=[[1,20,30],

fig= go.Figure(data=go.Heatmap(

z=[[1,20,30],

[20,1,60],

[30,60,1]])

data=[trace]

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

[30,60,1]]))

fig.show()

import plotly.plotlyas py

import plotly.graph_objsas go

import plotly.graph_objectsas go

trace= go.Heatmap(z=[[1,20,30,50,1], [20,1,60,80,30], [30,60,1,-10,20]],

fig= go.Figure(data=go.Heatmap(

z=[[1,20,30,50,1], [20,1,60,80,30], [30,60,1,-10,20]],

x=['Monday','Tuesday','Wednesday','Thursday','Friday'],

y=['Morning','Afternoon','Evening'])

data=[trace]

py.iplot(data,filename='labelled-heatmap')

y=['Morning','Afternoon','Evening']))

fig.show()

import plotly.graph_objectsas go

import numpyas np

import plotly.plotlyas py

defspiral(th):

a=1.120529

b=0.306349

r= a*np.exp(-b*th)

return (r*np.cos(th), r*np.sin(th))

nspiral=2# number of spiral loops

th= np.linspace(-np.pi/13,2*np.pi*nspiral,1000);# angle

(x,y)= spiral(th)

yshift= (1.6- (max(y)-min(y)))/2

s=dict(x=-x+x[0],y= y-y[0]+yshift,

line=dict(color='white',width=3))

phi= (1+np.sqrt(5) )/2.

phi= (1+np.sqrt(5) )/2.# golden ratio

xe= [0,1,1+(1/(phi**4)),1+(1/(phi**3)), phi]

ye= [0,1/(phi**3),1/phi**3+1/phi**4,1/(phi**2),1]

ye= [0,1/(phi**3),1/phi**3+1/phi**4,1/(phi**2),1]

z= [ [13,3,3,5],

[13,2,1,5],

[13,10,11,12],

[13,8,8,8]

]

hm=dict(x= np.sort(xe),

fig= go.Figure(data=go.Heatmap(

x= np.sort(xe),

y= np.sort(ye)+yshift,

z= z,

type='heatmap',

colorscale='Viridis')

colorscale='Viridis'))

defspiral(th):

a=1.120529

b=0.306349

r= a*np.exp(-b*th)

return (r*np.cos(th), r*np.sin(th))

theta= np.linspace(-np.pi/13,4*np.pi,1000);# angle

(x,y)= spiral(theta)

yshift= (1.6- (max(y)-min(y)))/2

fig.add_trace(go.Scatter(x=-x+x[0],y= y-y[0]+yshift,

line=dict(color='white',width=3)))

axis_template=dict(range= [0,1.6],autorange=False,

showgrid=False,zeroline=False,

linecolor='black',showticklabels=False,

ticks='' )

layout=dict(margin=dict(t=200,r=200,b=200,l=200),

fig.update_layout(margin=dict(t=200,r=200,b=200,l=200),

xaxis= axis_template,

yaxis= axis_template,

showlegend=False,

width=700,height=700,

autosize=False )

figure=dict(data=[s, hm],layout=layout)

py.iplot(figure,filename='golden spiral',height=750)

fig.show()

import datetime

import numpyas np

import plotly.plotlyas py

import plotly.graph_objsas go

programmers= ['Alex','Nicole','Sara','Etienne','Chelsea','Jody','Marianne']

base= datetime.datetime.today()

date_list= [base- datetime.timedelta(days=x)for xinrange(0,180)]

z= []

for prgmrin programmers:

new_row= []

for datein date_list:

new_row.append( np.random.poisson() )

z.append(list(new_row))

data= [

go.Heatmap(

dates= base- np.arange(180)* datetime.timedelta(days=1)

z= np.random.poisson(size=(len(programmers),len(dates)))

fig= go.Figure(data=go.Heatmap(

z=z,

x=date_list,

x=dates,

y=programmers,

colorscale='Viridis',

)

]

colorscale='Viridis'))

layout= go.Layout(

fig.update_layout(

title='GitHub commits per day',

xaxis=dict(ticks='',nticks=36),

yaxis=dict(ticks='' )

)

xaxis_nticks=36)

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

py.iplot(fig,filename='datetime-heatmap')

fig.show()

Seehttps://plot.ly/python/reference/#heatmap 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:400,700rel="stylesheet" type="text/css" />'))

display(HTML('<link rel="stylesheet" type="text/csshref="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(

'heatmaps.ipynb',' python/heatmaps/','Heatmaps | plotly',

'How to make Heatmaps in Python with Plotly.',

title='Python Heatmaps | plotly',

name='Heatmaps',

has_thumbnail='true',thumbnail='thumbnail/heatmap.jpg',

language='python',page_type='example_index',

display_as='scientific',order=3,

ipynb='~notebook_demo/33',redirect_from='python/heatmap/')