how to do scatter plot in pyplot

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()

df.plot('x_axis', 'y_axis', kind='scatter')

# 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()

# You can use matplotlib to create a scatter plot

# Import matplotlib.pyplot
import matplotlib.pyplot as plt

# Define x and y coordinates
x = [5,7,8,7,2,17,2,9,4,11,12,9,6]
y = [99,86,87,88,111,86,103,87,94,78,77,85,86]

# Create the scatter plot and show it
plt.scatter(x, y)
plt.show()

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()