from numpy.random import normal
a=normal(10,2,size=1000)
plt.hist(a,bins=10)
plt.title("Gaussian Histogram")
plt.xlabel("Value")
plt.ylabel("Frequency")
plt.show()
With the option 'normed=True', it will return the normalized histogram, i.e, probability distribution plot.
plt.hist(a,bins=10,normed=True)
plt.show()
With the option 'cumulative=True', it will return the cumulative distribution plot.
plt.hist(a,bins=10,normed=True,cumulative=True)
plt.show()
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