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Topic #123

Matplotlib Grid

Gridlines add reference lines to a plot so values can be read precisely. They make professional-looking charts with one call.


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()

image


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()

image

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()

image


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()

image

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Matplotlib Grid – FAQs

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