scatter plot python matplotlib code example

Example 1: how to plot a scatter plot in matplotlib

# 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()

Example 2: 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()

Example 3: scatter plot of a dataframe in python

>>> ax2 = df.plot.scatter(x='length',
...                       y='width',
...                       c='species',
...                       colormap='viridis')

Example 4: 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 5: matplotlib scatter

# Import packages
import matplotlib.pyplot as plt
%matplotlib inline

# Create the plot
fig, ax = plt.subplots()

# Plot with scatter()
ax.scatter(x, y)

# Set x and y axes labels, legend, and title
ax.set_title("Title")
ax.set_xlabel("X_Label")
ax.set_ylabel("Y_Label")

Example 6: 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,