Matplotlib Tutorial Part 04 - Scatter Plots

In [35]:

    

%matplotlib inline
import matplotlib.pyplot as plt
from random import randint


    

In [36]:

    

def generate_data(x=10,ran=9):
    raw = (randint(0,ran) for _ in range(x))
    return zip(*enumerate(raw))


    

In [37]:

    

fig = plt.figure(figsize=(17,9))

X, Y = generate_data()
plt.scatter(X,Y, label="Scatter Plot", color='k',marker="p")

plt.xlabel('x')
plt.ylabel('y')
plt.title('Scatter Plot')
plt.legend()

# Plotting
plt.grid(True)
plt.show()


    

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%%HTML
<iframe src="http://matplotlib.org/api/markers_api.html" width="980" height="1000"></iframe>