(Solved): need phython code 3. (Jupyter) Use scipy.stats to reproduce Figure 6.4 in Barlow. That is, plot the ...

Expert Answer

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To reproduce Figure 6.4 in Barlow using scipy.stats, you can use the `chi2` function from the `scipy.stats` module. Here is an example code that plots the x2 distribution for various degrees of freedom:

python
import numpy as np
import matplotlib.pyplot as plt
from scipy.stats import chi2

It looks like you successfully installed seaborn by doing pip install seaborn but it cannot be imported. You get an error like “ModuleNotFoundError: No module named ‘seaborn’” when you try.
This is probably not a seaborn problem, per se. If you have multiple Python environments on your computer, it is possible that you did pip install in one environment and tried to import the library in another. On a unix system, you could check whether the terminal commands which pip, which python, and (if applicable) which jupyter point to the same bin/ directory. If not, you’ll need to sort out the definition of your $PATH variable.


Two alternate patterns for installing with pip may also be more robust to this problem:
Invoke pip on the command line with python -m pip install  rather than pip install 
Use %pip install  in a Jupyter notebook to install it in the same place as the kernel

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