Title: Violin Plot using Python, matplotlib and seaborn Date: 2017-10-21 16:00

Import the necessary packages

Pandas is used to read in the .csv data. Seaborn to build the plot and Matplotlib for displaying the plot.



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# seaborn violin plot

import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt



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%matplotlib inline

Read in the .csv data file

Use pandas pd.read_csv() function to read in the .csv file



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df = pd.read_csv('data.csv')

Build the violin plot

Use seaborns built-in violin plot function to make the plot. The two fuction arguments are data=df and pallette="pastel".



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ax = sns.violinplot(data=df, palette="pastel")
plt.show()

Save the figure

Save the figure using matplotlib's ax.get_figure() method and fig.savefig() method. Since seaborn produces a matplotlib axis object, we can use matplotlib methods on our ax object.



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fig = ax.get_figure()
fig.savefig('sns_violin_plot.png', dpi=300)



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#seaborn violin plot

import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt

df = pd.read_csv('data.csv')

ax = sns.violinplot(data=df, palette="pastel")

fig = ax.get_figure()
fig.savefig('sns_violin_plot.png', dpi=300)



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