Matplotlib

The scale refers to the marking of data points on the axis, and Matplotlib automatically plots the scale on the x and y axes. This functionality is made possible by Matplotlib’s built-in calibration locator and formator (two built-in classes). In most cases, these two built-in classes are perfectly adequate for our drawing needs, However, in […]

Matplotlib can automatically set x and y values based on the value range of the variable. But you can also customize the range of values on the x and y axes by the method set_xlim(xmin, xmax) and set_ylim(ymin, ymax). When setting a 3D image, the z-axis will be added. You can use set_zlim(zmin, zmzx) to

In a function graph, sometimes the independent variable X and the dependent variable Y correspond exponentially, so the scale of the coordinate axis needs to be set to a logarithmic scale. This article will tell you how to implement it in Matplotlib by resetting the axis format with examples.

The grid() method provided by the Matplotlib axes object can turn on (show) or off (hide) the grid in the canvas and the primary/secondary scale of the grid. In addition, the grid() function can also set the color, line type, line weight, and other properties of the grid. This article will show you an example

The matplotlib.pyplot module provides the function subplot2grid(), which creates axes objects ( plot areas ) at specific locations on the canvas. Not only that, but it can also use a different number of rows and columns to create drawing areas with different spans. Unlike the subplot() and subplots() functions, the subplot2gird() function splits the canvas

This article shows you how to insert another plot into the same figure canvas by adding axes objects to the figure, then you can plot multiple plots on the same figure using Python Matplotlib.

When you use matplotlib.pyplot module’s subplot() method to plot multiple figures, you may find the figures may overlap each other. This article will tell you how to fix the issue.

When drawing with Matplotlib, in most cases, we need to divide a canvas into several sub-areas, and then we can draw different graphics on these areas. In this section, we will learn how to draw multiple subgraphs on the same canvas.

Matplotlib defines an axes class (axis domain class). The objects of this class are called axes objects (i.e. axis domain objects). It specifies a drawing area with value range restrictions. This article will tell you how to use Matplotlib axes classes with some examples.

In Matplotlib, the core idea of object-oriented programming is to create a figure object, and then call the figure object’s methods and properties to draw the image. In this process, the PyPlot library is responsible for generating a graphic object and adding one or more axes objects (i.e. drawing area) through the object. This article