What are the drawing methods of Matplotlib?

Drawing methods include line charts, scatter charts, column charts, histograms, pie charts, box plots, heat maps, contour charts, 3D graphics, etc. Detailed introduction: 1. Line chart: Use the plot() function to draw a line chart, which can show the changing trend of data over time or other continuous variables; 2. Scatter chart: Use the scatter() function to draw a scatter chart, which can show two The relationship between variables, each data point corresponds to a coordinate; 3. Histogram: Use the bar() or barh() function to draw a histogram, which can show the distribution or comparison of discrete variables, etc.

The operating system for this tutorial: Windows 10 system, Python version 3.11.4, Dell G3 computer.

Matplotlib is a powerful drawing library that provides a variety of drawing methods to meet different types of data visualization needs. The following are some commonly used Matplotlib drawing methods:

1. Line chart: Use the plot() function to draw a line chart, which can show the trend of data over time or other continuous variables.

2. Scatter plot: Use the scatter() function to draw a scatter plot, which can show the relationship between two variables. Each data point corresponds to a coordinate.

3. Histogram: Use the bar() or barh() function to draw a histogram, which can show the distribution or comparison of discrete variables.

4. Histogram: Use the hist() function to draw a histogram, which can show the distribution of continuous variables.

5. Pie chart: Use the pie() function to draw a pie chart, which can show the proportion relationship of different categories.

6. Boxplot: Use the boxplot() function to draw a boxplot, which can display statistical information such as data distribution and outliers.

7. Heat map: Use the imshow() function to draw a heat map, which can display the color coding of two-dimensional data.

8. Contour plot: Use the contour() function to draw a contour plot, which can display the contours of two-dimensional data.

9. 3D graphics: Use the plot_surface() function to draw a three-dimensional surface graph, which can display the distribution of three-dimensional data.

The above are just some commonly used drawing methods. Matplotlib also provides more drawing methods and options. You can choose the appropriate method to draw different types of graphics according to specific needs.

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