scatter plot python
# Import matplotlib
import matplotlib.pyplot as plt
# Set plot space as inline for inline plots and qt for external plots
%matplotlib inline
# Set the figure size in inches
plt.figure(figsize=(10,6))
plt.scatter(x, y, label = "label_name" )
# Set x and y axes labels
plt.xlabel('X Values')
plt.ylabel('Y Values')
plt.title('Scatter Title')
plt.legend()
plt.show()
Log in, to leave a comment
3
2
import numpy as np
np.random.seed(19680801)
import matplotlib.pyplot as plt
fig, ax = plt.subplots()
for color in ['tab:blue', 'tab:orange', 'tab:green']:
n = 750
x, y = np.random.rand(2, n)
scale = 200.0 * np.random.rand(n)
ax.scatter(x, y, c=color, s=scale, label=color,
alpha=0.3, edgecolors='none')
ax.legend()
ax.grid(True)
plt.show()
Thank you!
2
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4.38
8
import numpy as npimport matplotlib.pyplot as plt
# Create data
N = 500x = np.random.rand(N)
y = np.random.rand(N)
colors = (0,0,0)
area = np.pi*3
# Plot
plt.scatter(x, y, s=area, c=colors, alpha=0.5)
plt.title('Scatter plot pythonspot.com')
plt.xlabel('x')
plt.ylabel('y')
plt.show()
Thank you!
8
0
3.8
5
import numpy as np
np.random.seed(19680801)
import matplotlib.pyplot as plt
fig, ax = plt.subplots()
for color in ['tab:blue', 'tab:orange', 'tab:green']:
n = 750
x, y = np.random.rand(2, n)
scale = 200.0 * np.random.rand(n)
ax.scatter(x, y, c=color, s=scale, label=color,
Thank you!
5
0
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