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This article mainly introduces how Matplotlib object-oriented drawing, has a certain reference value, interested friends can refer to, I hope you can learn a lot after reading this article, the following let the editor take you to understand it.

A brief introduction to 0Jet Matplotlib

Matplotlib is the most famous library for data visualization in Python data analysis, and its drawing method is very similar to that in matlab.

There are usually two different ways to draw with Matplotlib: object-oriented drawing and functional drawing. In addition, you can also draw quickly with the plot function of dataframe. Their characteristics are as follows.

1. Object-oriented drawing Scheme (ax.plot) has clear structure, complete functions and easy to understand. [recommended]

2. The functional drawing scheme (plt.plot) code is relatively short, but it is easy to lose the operating object and cause confusion.

3Jing dataframe rapid drawing scheme (df.plot) can link up the data analysis and visualization process well. [highly recommended]

First, the structure of the image in Matplotlib

The three most important objects in matplotlib images are figure (canvas), ax (coordinate system) and axis (coordinate axis). There can be multiple ax (multiple sub-images) in a figure, and figure can set the image size, background color, pixels, and so on. There are usually multiple axis in an ax, such as xaxis,yaxis. Ax can set the size of the subimage, title, data presentation, linetype, color, and so on. Axis also has label,tick and other objects, you can set axis scale, axis label, axis title and so on.

Second, the general steps of Matplotlib object-oriented drawing

Object-oriented drawing is generally top-down:

0, set global parameters such as drawing style before drawing, such as style,font, etc.

1, when starting to draw, the first is the layout of figure objects, including size size, pixel dpi and so on.

2, followed by axes object planning, including graphics (such as dotted column cakes), axes areas (such as background colors, grids, legends) and so on.

3, followed by axis object settings, including axes, ticks, labels, etc.

4. Finally, add text information, including title, data annotation, other text description and so on.

Third, object-oriented drawing demonstration.

0, set global parameters such as drawing style before drawing, such as style,font, etc.

1, when starting to draw, the first is the layout of figure objects, including size figsize, pixel dpi and so on.

2, followed by axes object planning, including graphics (such as dotted column cakes), axes areas (such as background colors, grids, legends) and so on.

3, followed by axis object settings, including axes, ticks, labels, etc.

4. Finally, add text information, including title, data annotation, other text description and so on.

(note: the above code should be executed in the cell of the same Jupyter notebook. )

The effect picture is as follows:

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