How to draw a Matplotlib scatter plot in Python

Use the plt.plot method:

In the previous article Python data analysis - Matplotlib line chart drawing, we introduced that you can use plt.plot()Method to draw a line chart, this method can also draw a scatter chart, is as follows:

import random
x = range(15)
y = [i + random.randint(-2,2) for i in x]
plt.plot(x, y, "o")
plt.show()

The result output is as follows:

Because the plot method draws a line chart by default, plt.plot(x, y) is equivalent to plt.plot(x, y, "-" ), the third parameter is "-", which means using lines to connect the coordinate points. If you use points . or circles o to connect these 10 points, What is presented is a scatter plot.

In addition to -, ., o, there are other types, such as x, ,v,^,Wait, you can explore on your own.

Use plt.scatter method:

Matplotlib also provides another powerful methodplt.scatter(),Use format As follows:

plt.scatter(x, y, s=None, c=None, marker=None, ···)

The main parameters in the function are described as follows:

• x, y: represents respectively Data corresponding to the x-axis and y-axis, receiving list type parameters

• #s: represents the size of the point, the default is 20, it can be a character or a list, which is a list Each element of the list represents the size of the corresponding point

• c: represents the color of the point, which can be a character or a list, for each element of the list Represents the color of the corresponding point

• marker: Indicates the type of drawn point, the default small circleo

• ##······

• ##alpha:

  Represents the transparency of the point, accepting decimals between 0 and 1

For example:

import random
x = range(15)
y = [i + random.randint(-2,2) for i in x]
plt.scatter(x, y, marker="v")
plt.show()

The result output is as follows:

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