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import plotly
plotly.__version__
'2.4.0'
import plotly.plotly as py
import plotly.graph_objs as go
import pandas as pd
df = pd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/violin_data.csv")
fig = {
"data": [{
"type": 'violin',
"y": df['total_bill'],
"box": {
"visible": True
},
"line": {
"color": 'black'
},
"meanline": {
"visible": True
},
"fillcolor": '#8dd3c7',
"opacity": 0.6,
"x0": 'Total Bill'
}],
"layout" : {
"title": "",
"yaxis": {
"zeroline": False,
}
}
}
py.iplot(fig, filename = 'violin/basic', validate = False)
import plotly.plotly as py
import plotly.graph_objs as go
import pandas as pd
df = pd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/violin_data.csv")
data = []
for i in range(0,len(pd.unique(df['day']))):
trace = {
"type": 'violin',
"x": df['day'][df['day'] == pd.unique(df['day'])[i]],
"y": df['total_bill'][df['day'] == pd.unique(df['day'])[i]],
"name": pd.unique(df['day'])[i],
"box": {
"visible": True
},
"meanline": {
"visible": True
}
}
data.append(trace)
fig = {
"data": data,
"layout" : {
"title": "",
"yaxis": {
"zeroline": False,
}
}
}
py.iplot(fig, filename='violin/multiple', validate = False)
import plotly.plotly as py
import plotly.graph_objs as go
import pandas as pd
df = pd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/violin_data.csv")
fig = {
"data": [
{
"type": 'violin',
"x": df['day'] [ df['sex'] == 'Male' ],
"y": df['total_bill'] [ df['sex'] == 'Male' ],
"legendgroup": 'M',
"scalegroup": 'M',
"name": 'M',
"box": {
"visible": True
},
"meanline": {
"visible": True
},
"line": {
"color": 'blue'
}
},
{
"type": 'violin',
"x": df['day'] [ df['sex'] == 'Female' ],
"y": df['total_bill'] [ df['sex'] == 'Female' ],
"legendgroup": 'F',
"scalegroup": 'F',
"name": 'F',
"box": {
"visible": True
},
"meanline": {
"visible": True
},
"line": {
"color": 'pink'
}
}
],
"layout" : {
"yaxis": {
"zeroline": False,
},
"violinmode": "group"
}
}
py.iplot(fig, filename = 'violin/grouped', validate = False)
import plotly.plotly as py
import plotly.graph_objs as go
import pandas as pd
df = pd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/violin_data.csv")
fig = {
"data": [
{
"type": 'violin',
"x": df['day'] [ df['smoker'] == 'Yes' ],
"y": df['total_bill'] [ df['smoker'] == 'Yes' ],
"legendgroup": 'Yes',
"scalegroup": 'Yes',
"name": 'Yes',
"side": 'negative',
"box": {
"visible": True
},
"meanline": {
"visible": True
},
"line": {
"color": 'blue'
}
},
{
"type": 'violin',
"x": df['day'] [ df['smoker'] == 'No' ],
"y": df['total_bill'] [ df['smoker'] == 'No' ],
"legendgroup": 'No',
"scalegroup": 'No',
"name": 'No',
"side": 'positive',
"box": {
"visible": True
},
"meanline": {
"visible": True
},
"line": {
"color": 'green'
}
}
],
"layout" : {
"yaxis": {
"zeroline": False,
},
"violingap": 0,
"violinmode": "overlay"
}
}
py.iplot(fig, filename = 'violin/split', validate = False)
import plotly.plotly as py
import plotly.graph_objs as go
import pandas as pd
df = pd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/violin_data.csv")
pointposMale = [-0.9,-1.1,-0.6,-0.3]
pointposFemale = [0.45,0.55,1,0.4]
showLegend = [True,False,False,False]
data = []
for i in range(0,len(pd.unique(df['day']))):
male = {
"type": 'violin',
"x": df['day'][ (df['sex'] == 'Male') & (df['day'] == pd.unique(df['day'])[i]) ],
"y": df['total_bill'][ (df['sex'] == 'Male') & (df['day'] == pd.unique(df['day'])[i]) ],
"legendgroup": 'M',
"scalegroup": 'M',
"name": 'M',
"side": 'negative',
"box": {
"visible": True
},
"points": 'all',
"pointpos": pointposMale[i],
"jitter": 0,
"scalemode": 'count',
"meanline": {
"visible": True
},
"line": {
"color": '#8dd3c7'
},
"marker": {
"line": {
"width": 2,
"color": '#8dd3c7'
}
},
"span": [
0
],
"showlegend": showLegend[i]
}
data.append(male)
female = {
"type": 'violin',
"x": df['day'] [ (df['sex'] == 'Female') & (df['day'] == pd.unique(df['day'])[i]) ],
"y": df['total_bill'] [ (df['sex'] == 'Female') & (df['day'] == pd.unique(df['day'])[i]) ],
"legendgroup": 'F',
"scalegroup": 'F',
"name": 'F',
"side": 'positive',
"box": {
"visible": True
},
"points": 'all',
"pointpos": pointposFemale[i],
"jitter": 0,
"scalemode": 'count',
"meanline": {
"visible": True
},
"line": {
"color": '#bebada'
},
"marker": {
"line": {
"width": 2,
"color": '#bebada'
}
},
"span": [
0
],
"showlegend": showLegend[i]
}
data.append(female)
fig = {
"data": data,
"layout" : {
"title": "Total bill distribution<br><i>scaled by number of bills per gender",
"yaxis": {
"zeroline": False,
},
"violingap": 0,
"violingroupgap": 0,
"violinmode": "overlay"
}
}
py.iplot(fig, filename='violin/advanced', validate = False)
See https://plotly.com/python/reference/#violin 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(
'violin.ipynb', 'python/violin/', 'Violin Plots',
'How to make violin plots in Python with Plotly.',
title = 'Violin Plots | Plotly',
has_thumbnail='true',
thumbnail='thumbnail/violin.jpg',
language='python',
display_as='statistical',
order=12,
ipynb='~notebook_demo/201')
Collecting git+https://github.com/plotly/publisher.git
Cloning https://github.com/plotly/publisher.git to c:\users\branden\appdata\local\temp\pip-5beb6u-build
Installing collected packages: publisher
Found existing installation: publisher 0.11
Uninstalling publisher-0.11:
Successfully uninstalled publisher-0.11
Running setup.py install for publisher: started
Running setup.py install for publisher: finished with status 'done'
Successfully installed publisher-0.11