<jupyter_start><jupyter_text>Scatter Plots<jupyter_code>%matplotlib inline
import matplotlib.pyplot as plt

import numpy as np
np.random.seed(0)
x = np.linspace(0, 10, 30)
y = np.sin(x)

plt.plot(x, y, 'o', color='black');<jupyter_output><empty_output><jupyter_text>```pythonmatplotlib.pyplot.scatter(    x, y,    s=None,    c=None,    marker=None,    ...,    **kwargs)```Marker:- 'o'- 'v'- '^'- '<'- '>'- '8'- 's'- 'p'- '*'- 'h'- 'H'- 'D'- 'd'- 'P'- 'X'<jupyter_code>plt.scatter(x, y, marker='o');
plt.scatter(x, y, marker='X');
x = np.random.randn(100)
y = np.random.randn(100)
colors = np.random.rand(100)

plt.scatter(
    x, y,
    s=10,
    alpha=0.3
);<jupyter_output><empty_output>
StarcoderdataJupyterStructuredCleanDedup