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How to add a marker to a line size in Matplotlib

Onyejiaku Theophilus Chidalu


Markers are used in matplot library (matplotlib) to simply enhance the visual of line size of a plot. You can use the keyword argument marker to emphasize which marker you want on the line of plot.

Marker references in Python

Below is a table showing the list of some markers present in the matplot library and their respective descriptions.

Marker Description
‘*’ Star
‘o’ Circle
‘.’ Point
‘x’ X
'X X (filled)
‘D’ Diamond
‘d’ Thin diamond
‘p’ Pentagon
‘H’ Hexagon
‘h’ hexagon
‘+’ Plus
‘P’ Plus (filled)
‘,’ Pixel
‘s’ Square
‘v’ Triangle down
‘^’ Triangle up
‘>’ Triangle right
‘<’ Triangle left
‘1’ Tri down
‘2’ Tri up
‘3’ Tri left
‘4’ Tri right
‘|’ Vine
‘-’ Hline
(numsides, style, angle) This marker can also be a tuple (numsides, style, angle), which will create a custom, regular symbol.
path A Path instance.
verts A list of (x, y) pairs used for Path vertices. The center of the marker is located at (0,0) and the size is normalized, such that the created path is encapsulated inside the unit cell.

From the table above, we can see that in matplotlib, markers take different symbols: ‘H’ for hexagon marker, ‘s’ for star marker, ‘d’ for thin diamond marker, etc.

How to add markers to the line size of a plot

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt

x=[1, 2, 3, 4, 5, 6]
y=[2, 4, 6, 8, 10, 12]
# using a point '.' marker
plt.plot(x,y,linewidth=2, marker ='.')


  • Line 1: We imported pandas as we gave it a name, pd.
  • Line2: We imported numpy as we gave it a name, np.
  • Line 3: We imported matplotlib.pyplot as plt.
  • Line 5: We created a variable.
  • Line 6: We created another variable, y.
  • Line 8: We called the plt function, i.e., the pyplot function plt.plot to help us plot a graph of x against y. The line width of the graph should be of size 2. Then, finally, the marker should be of the fullstop ‘.’ sign using marker ='.'
Output of the code

Now, let’s make subplots showing various markers.

import numpy as np
import matplotlib.pyplot as plt

# Fixing random state for reproducibility

x=[1, 2, 3, 4, 5, 6]
y=[2, 4, 6, 8, 10, 12]

fig, axs = plt.subplots(2, 3)

# Triangular right marker
axs[0, 0].scatter(x, y, s=80, marker=">")
axs[0, 0].set_title("marker='>'")

# pentagon marker
axs[0, 1].scatter(x, y, s=80, marker='p')
axs[0, 1].set_title(r"marker='Pentagon'")

# marker from path
verts = [[-1, -1], [1, -1], [1, 1], [-1, -1]]
axs[0, 2].scatter(x, y, s=80, marker=verts)
axs[0, 2].set_title("marker=verts")

# V line marker
axs[1, 0].scatter(x, y, s=80, marker='|')
axs[1, 0].set_title("marker=Vline")

# Star marker
axs[1, 1].scatter(x, y, s=80, marker=('*'))
axs[1, 1].set_title("marker=Star")

# regular asterisk marker
axs[1, 2].scatter(x, y, s=80, marker=(5, 2))
axs[1, 2].set_title("marker=(5, 2)")

Output of the code




Onyejiaku Theophilus Chidalu

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