[Statistics question]: violin plot

[haesleinhuepf]

Question:

Generate two 1d numeric example datasets which are combinations of three normal distributions each, with different means and different standard deviations. Use this data to draw a violin plot.

Python Tools

• List of Python libraries we should use for answering this:
  • numpy
  • scipy
  • seaborn

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git-bob try to do this

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A new file, violin_plot_example.py, was created to generate datasets consisting of mixed normal distributions and to create a violin plot utilizing the seaborn library.

[haesleinhuepf]

git-bob think about what code is necessary to achive this

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import numpy as np import seaborn as sns import matplotlib.pyplot as plt from scipy.stats import norm

Generate two 1D numeric example datasets

data1 = np.concatenate([norm.rvs(loc=0, scale=1, size=100), norm.rvs(loc=5, scale=0.5, size=100), norm.rvs(loc=-3, scale=1.5, size=100)])

data2 = np.concatenate([norm.rvs(loc=2, scale=1, size=100), norm.rvs(loc=-2, scale=0.5, size=100), norm.rvs(loc=3, scale=1.5, size=100)])

Create a violin plot

sns.violinplot(data=[data1, data2]) plt.xlabel('Dataset') plt.ylabel('Value') plt.title('Violin Plot of Two Mixed Normal Distributions') plt.show()

[haesleinhuepf]

git-bob implement this in a new jupyter notebook. Also make sure to save the final plot as .png file.