Python Specials #1 - Probability Distribution Function
In this code, we first create some sample data from a normal distribution using np.random.normal(). We then plot a histogram of the data using plt.hist() with the density=True argument to display the probability density rather than the raw counts.
Next, we plot the probability density function of the normal distribution using norm.pdf() from the scipy.stats module. We create a range of values for the x-axis using np.linspace() and plot the PDF using plt.plot().
Finally, we set the x-axis label, y-axis label, and title of the plot using plt.xlabel(), plt.ylabel(), and plt.title(), respectively. We then display the plot using plt.show().
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