Example 1: scatter plot python
df.plot('x_axis', 'y_axis', kind='scatter')
Example 2: how to do scatter plot in pyplot
import numpy as npimport matplotlib.pyplot as plt
N = 500x = np.random.rand(N)
y = np.random.rand(N)
colors = (0,0,0)
area = np.pi*3
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()
Example 3: matplotlib scatter plot python
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()
Example 4: matplotlib scatter
import matplotlib.pyplot as plt
%matplotlib inline
fig, ax = plt.subplots()
ax.scatter(x, y)
ax.set_title("Title")
ax.set_xlabel("X_Label")
ax.set_ylabel("Y_Label")
Example 5: plot scatter python
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,