You can install the Matplotlib library using the 'pip' package manager. Open a terminal or command prompt or PowerShell for Windows and type the command If the installation process is completed correctly we can import the library into our project. Typically the main module of this library 'pyplot' is imported. It contains the necessary functions to generate charts. import as plt The library itself uses default styles when "beautifying" and modifying charts. These include for example color modifications fonts adding additional information legends etc.
If you want to learn about the different styles offered by Matplotlib check the documentation or use the ' print ' command Basics of creating and discussing the structure of charts The concept and structure of a chart in Matplotlib can be most simply explained using a line chart. Charts are created on the basis of the Email Marketing List socalled Figur ' figure '. The figure can be described as a container for one or more axes. The axes define the surface of the chart on which the data is drawn. If we are talking about a D chart it will contain X and Y axes and a D chart X Y and Z. Descriptive elements can also be assigned to a given chart.
These can be axis labels legends titles and values above bars. To create a simple line chart we will use the previously mentioned NumPy library see my previous article. We will create a list containing numerical values for the X axis and use the sine function values for the Y axis. As you probably guessed this chart is not very clear because apart from the values the axes themselves are not described the chart does not have a title so we are unable to determine what it actually shows. We can guess that it is a sine function but it is better to improve this graph to make it more readable especially for a person without knowledge of selected mathematical issues.
發表於 2023-12-3 14:37:50
收藏