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I have created random data and trying to add jitter in scatter plot but I can't figure out how to apply jitter for the X and Y values? I have data in the form of X and Y but not the whole as a data to pass it to the seaborn plotting library.

def make_cubic_dataset(m, a=-3.0, b=1.0, c=3.5, d=4, mu=0.0, sigma=0.33): x = np.random.uniform(low=-1.0, high=1.0, size=(m,)) y = a*x**3 + b*x**2 + c*x + d + np.random.normal(mu,sigma) #generates a random number from the normal distribution with mu and sigma. return (x,y) np.random.seed(42) x,y = make_cubic_dataset(100) print(x.shape) print(y.shape) print(x[:5]) print(y[:5]) plt.scatter(x, y) plt.title("Random Artificial Cubic dataset") plt.xlabel("x") plt.ylabel("y") plt.show()

Output:

enter image description here

Expected output

enter image description here

Can anyone help me with this?

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1 Answer 1

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You're adding a single scalar random amount to your entire y variable, rather than an array of randomly distributed numbers. The following will produce a normally distributed array of random numbers with a standard deviation sigma:

y = a*x**3 + b*x**2 + c*x + d + np.random.randn(m)*sigma

Result:

enter image description here

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5 Comments

Thanks for your help. I'm trying to calculate Intercept, slop, and Determination coefficient but because of that change in code, I can't perform any operation. The error is Reshape your data either using array.reshape(-1, 1) if your data has a single feature or array.reshape(1, -1) if it contains a single sample.
@MayurPotdar Please accept this answer and ask a new question with your new error.
can you please tell me how to add that straight line to the given scatter plot?
Just add this under your plt.scatter: plt.plot(np.unique(x), np.poly1d(np.polyfit(x, y, 1))(np.unique(x))).
Much appreciated. This helps me to understand the plot. And I was able to resolve the above-mentioned comment. Thanks again.

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