4.2. Scatter Plot¶

Used to show correlation

../../_images/matplotlib-chart-scatter.png

4.2.1. Syntax¶

import matplotlib.pyplot as plt


x = [1, 2, 3, 4]
y = [1, 2, 3, 4]

plt.scatter(x, y)
plt.show()  # doctest: +SKIP

4.2.2. Simple Points¶

import matplotlib.pyplot as plt
import numpy as np


x = np.linspace(0, 10, 50)
y = np.sin(x)

plt.scatter(x, y)
plt.show()  # doctest: +SKIP

4.2.3. Markers¶

marker
s - size

../../_images/matplotlib-chart-scatter-markers-filled.png

../../_images/matplotlib-chart-scatter-markers-unfilled.png

import matplotlib.pyplot as plt


x = [1, 2, 3, 4, 5, 6, 7, 8]
y = [5, 2, 4, 2, 1, 4, 5, 2]

plt.scatter(x, y, marker='*', s=100)
plt.show()  # doctest: +SKIP

import matplotlib.pyplot as plt
import numpy as np


x = [1, 2, 3, 4, 5, 6, 7, 8]
y = [5, 2, 4, 2, 1, 4, 5, 2]

plt.scatter(x, y, marker='x', s=100)
plt.show()  # doctest: +SKIP

import matplotlib.pyplot as plt
import numpy as np


x = [1, 2, 3, 4, 5, 6, 7, 8]
y = [4, 7, 6, 2, 7, 4, 5, 2]

plt.scatter(x, y, marker='*', s=500)
plt.scatter(y, x, marker='o', s=500)

plt.show()  # doctest: +SKIP