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What is matplotlib?

Partners who have used python for data analysis know that matplotlib is a commanding, low-level, customizable, rich in chart resources, easy to use, publishing quality level of python 2D drawing library.

Matplotlib is the veteran library of python drawing, similar to the C language in the programming language. Many other python drawing libraries are developed based on matplotlib, such as seaborn, ggplot, plotnine, holoviews, basemap and so on.

Matplotlib can be used for python scripts, python shell, jupyter notebook, web, and so on. The best tool to run matplotlib drawings is jupyter notebook, and this tutorial is also based on this tool for experiments. This is an interactive notebook that runs code on a browser and can directly display the results and charts, as described in jupyter notebook.

Which charts can be drawn with matplotlib?

Histogram, dotted chart, histogram, pie chart, stacked histogram, filling histogram, histogram, area chart, trend chart, box chart, violin chart, data map, radar chart, funnel chart, nested pie chart, all kinds of 3D charts, etc., and so on.

Some of the drawings are listed. For details, please see: matplotlib gallery

The use of matplotlib drawing mainly uses its pyplot module, which can be programmed to generate a variety of charts, as long as a simple function can customize the chart independently, adding text, points, lines, colors, images and other elements.

What are the adjustable chart elements?

These elements need to be controlled by methods in the pyplot module, which will be described one by one in future examples.

How do I install matplotlib?

Matplotlib and its dependent packages can be installed through pip, which is very simple. On the command line, enter:

Pip install matplotlib

For beginners, they are tired of installing various packages. You can download and install Anaconda directly, including python and hundreds of data science third-party libraries, once and for all.

How to use matplotlib drawing?

1. Open jupyter notebook and create a new python3 notebook with the following interface:

2. Import the pyplot module and use the magic image function to display the chart in notebook

Import matplotlib.pyplot as plt

% matplotlib inline # magic function

3. Type the drawing code

Plt.figure () # create a figure object

Plt.plot ([1,2,3,4], [1,2,3,4], label='my first line') # drawing function plot

Plt.legend () # legend function, which is used to adjust the position of the legend, etc.

Plt.xlabel ('X') # x axis label

Plt.ylabel ('Y') # y axis label

Plt.show () # display chart

4. Results

What do the pyplot module method functions do here?

Plot (): draw a straight line or mark according to the given x and y values

Figure (): create a new chart

Legend (): place a legend on a chart

Xlabel (): label the x-axis

Ylabel (): label the y-axis

Show (): show chart

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