How to set same color for markers and lines in a Matplotlib plot loop?

To set the same color for markers and lines in a matplotlib, we can take the following Steps −

  • Initialize m, n and x data points using numpy.

  • Create a new figure or activate an existing figure using figure() method.

  • Clear the figure using clf() method.

  • Add a subplot to the current figure using subplot() method.

  • Get a marker from a iterable marker type.

  • Iterate a range from 1 to n.

  • Plot the lines and markers in the loop using plot() method with the same marker and colors for a line.

  • To display the figure, use show() method.


import numpy as np
import itertools
from matplotlib import pyplot as plt
plt.rcParams["figure.figsize"] = [7.00, 3.50]
plt.rcParams["figure.autolayout"] = True
m = 5
n = 5
x = np.zeros(shape=(m, n))
marker = itertools.cycle(('o', 'v', '^', '<', '>', 's', '8', 'p'))
for i in range(1, n):
   x =, [1, 1.1, 1.2, 1.3])
   y = x ** 2
   plt.plot(x, y, linestyle='', markeredgecolor='none', marker=next(marker), alpha=1)
   plt.plot(x, y, linestyle='-')


Updated on: 15-May-2021

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