How to draw a heat map using ECharts in Python

How to use ECharts to draw a heat map in Python

Heat map is a visualization method that displays data changes based on color depth. It is widely used to analyze hot spot density, Scenarios such as trend and correlation analysis. In Python, we can use the ECharts library to draw heat maps and demonstrate its use through specific code examples.

ECharts is a powerful data visualization library that supports multiple chart types, including heat maps. Before we begin, we first need to install the ECharts library. You can use pip to install through the following command:

pip install pyecharts

After the installation is complete, we can draw the heat map through the following code:

from pyecharts.charts import HeatMap import random data = [] for i in range(10): for j in range(10): data.append([i, j, random.randint(0, 100)]) heatmap = ( HeatMap() .add_xaxis(range(10)) .add_yaxis("", range(10), data) .set_global_opts( visualmap_opts=opts.VisualMapOpts(), title_opts=opts.TitleOpts(title="热力图示例") ) ) heatmap.render("heatmap.html")

In the above code, we first importHeatMapClasses andrandommodules. Then, a set of random data is generated through a double loop. Here we generate a 10x10 matrix, where the value of each element is a random integer between 0 and 100.

Next, we created aHeatMapinstance and used theadd_xaxismethod to set the x-axis value range from 0 to 9, using theadd_yaxisMethod sets the value range of the y-axis from 0 to 9, and passes in the previously generated random data.

After setting the x-axis and y-axis data, we can set the global options of the heat map through theset_global_optsmethod. Here we set up a basic visual mapping option and title options.

Finally, we call therendermethod to save the heat map as an HTML file. You can open the file in a browser to view the heat map results.

Through the above steps, we can easily use ECharts to draw heat maps in Python. Of course, ECharts also supports more customized options and functions. You can set the chart style, interactive effects, etc. according to your specific needs. I hope this article can help you get started using ECharts to draw heat maps and inspire your creativity in the field of data visualization.

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