Flash cards
Review the key moves
1/4
Core idea
What is the main idea behind Matplotlib Adding Grid Lines?
Lesson checks
Practice each idea before moving on
Short Mimo-style checks built from this lesson's code, terms, and sequence.
1Quick choice
Which statement best captures the main point of this lesson?
2Fill blank
Complete the missing token from the example code.
___ numpy as np3Order
Put the learning moves in the order that makes the concept easiest to apply.
Set Line Properties for the Grid
Specify Which Grid Lines to Display
Add Grid Lines to a Plot
Add Grid Lines to a Plot
With Pyplot, you can use the grid() function to add grid lines to the plot.
Example
import numpy as np
import matplotlib.pyplot as plt
x = np.array([80,
85, 90, 95, 100, 105, 110, 115, 120, 125])
y = np.array([240, 250, 260,
270, 280, 290, 300, 310, 320, 330])
plt.title("Sports Watch Data")
plt.xlabel("Average Pulse")
plt.ylabel("Calorie Burnage")
plt.plot(x,
y)
plt.grid()
plt.show()Specify Which Grid Lines to Display
You can use the axis parameter in the grid() function to specify which grid lines to display.
Legal values are: 'x', 'y', and 'both'. Default value is 'both'.
Example
import numpy as np
import matplotlib.pyplot as plt
x = np.array([80,
85, 90, 95, 100, 105, 110, 115, 120, 125])
y = np.array([240, 250, 260,
270, 280, 290, 300, 310, 320, 330])
plt.title("Sports Watch Data")
plt.xlabel("Average Pulse")
plt.ylabel("Calorie Burnage")
plt.plot(x,
y)
plt.grid(axis = 'x')
plt.show()Example
import numpy as np
import matplotlib.pyplot as plt
x = np.array([80,
85, 90, 95, 100, 105, 110, 115, 120, 125])
y = np.array([240, 250, 260,
270, 280, 290, 300, 310, 320, 330])
plt.title("Sports Watch Data")
plt.xlabel("Average Pulse")
plt.ylabel("Calorie Burnage")
plt.plot(x,
y)
plt.grid(axis = 'y')
plt.show()Set Line Properties for the Grid
You can also set the line properties of the grid, like this: grid(color = ' color ', linestyle = ' linestyle ', linewidth = number ).
Example
import numpy as np
import matplotlib.pyplot as plt
x = np.array([80,
85, 90, 95, 100, 105, 110, 115, 120, 125])
y = np.array([240, 250, 260,
270, 280, 290, 300, 310, 320, 330])
plt.title("Sports Watch Data")
plt.xlabel("Average
Pulse")
plt.ylabel("Calorie Burnage")
plt.plot(x,
y)
plt.grid(color = 'green', linestyle = '--', linewidth = 0.5)
plt.show()