How to use different markers for different points in a Pylab scatter plot(Matplotlib)?

Matplotlib Python Data Visualization

Python Data Science basics with Numpy, Pandas and Matplotlib

Data Visualization using MatPlotLib & Seaborn

DATAhill Solutions Srinivas Reddy

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MatPlotLib with Python

DATAhill Solutions Srinivas Reddy

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To use different markers for different points in a Pylab (Pyplot) scatter plot, we can use the following steps −

Set the figure size and adjust the padding between and around the subplots.
Initialize a variable, N, for number of sample data.
Create x and y random data points.
Make a list of markers.
Zip the x, y and markers.
Iterate the zipper objects and plot the data points with different markers.
To display the figure, use show() method.

Example

import numpy as np
from matplotlib import pyplot as plt

plt.rcParams["figure.figsize"] = [7.50, 3.50]
plt.rcParams["figure.autolayout"] = True

N = 10
x = np.random.rand(N)
y = np.random.rand(N)

markers = ["d", "v", "s", "*", "^", "d", "v", "s", "*", "^"]

for xp, yp, m in zip(x, y, markers):
   plt.scatter(xp, yp, marker=m, s=50)

plt.show()