1. Introduction
This experiment mainly introduces histogram theory and the realization of histogram based on Python.
1.1. The purpose of the experiment
Master the basic usage scenarios of the histogram, and use the pyecharts module of Python to implement the histogram.
1.2. Knowledge points
- Histogram theory
- Histogram implementation
2. Histogram Theory
- Column chart introduction:
The bar chart is also called the bar chart. It is a statistical report chart that expresses the value by the length of a rectangle, and a series of vertical sections with different heights indicate the distribution of data.
- scenes to be used:
It is suitable for displaying two-dimensional data sets. One axis represents the classification dimension that needs to be compared, and the other axis represents the corresponding value, such as month, product sales, or the comparison of multiple homogeneous and comparable indicators displayed in one dimension. For example, the production of apples and peaches by month.
- Advantages of Column Chart:
Simple and intuitive, it is easy to see the value of the value according to the length of the column; it is easy to compare the differences between the data sets.
- Disadvantages of column chart:
Not suitable for large data sets.
3. Histogram classification
4. Histogram implementation
Output result:
5. Bar graph implementation
Output result:
6. Stacked graph implementation
Output result:
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