Matplotlib直方图显示错误的预测

Question

我正在使用matplotlib来绘制python列表中出现的频率，但是它正在绘制列表中不存在的值。

widthList：

/*
* 提示：该行代码过长，系统自动注释不进行高亮。一键复制会移除系统注释 
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*/

在这里，我们可以清楚地看到，甚至没有一个7，但是直方图显示了奇怪的输出：

​

代码：

 width_frequency = Counter(','.join([str(i) for i in widthList])).most_common(6)
    print(width_frequency)
    width = [widths for widths, _ in width_frequency]
    freq = [counts for _, counts in width_frequency]
    #
    plt.bar(width, freq)
    plt.ylabel("Frequency")
    plt.xlabel("Width")
    plt.show()

Answer 1

你在用

width_frequency = Counter(','.join([str(i) for i in widthList])).most_common(6)

也就是说，您正在将列表转换为,分隔的字符串，并将整个字符串传递给计数器，这将只对应输入中出现的字符数：

Counter(','.join([str(i) for i in widthList]))

产出：

Counter({',': 1789,
         '.': 1790,
         '0': 1792,
         '1': 1252,
         '2': 3492,
         '3': 1559,
         '4': 1904,
         '5': 403,
         '6': 1950,
         '7': 3636,
         '8': 587,
         '9': 3357})

修正：

传递数字列表

width_frequency = Counter(widthList).most_common(6)

​

​

使用直方图：

plt.hist(widthList, bins=10, rwidth = 0.8)
plt.ylabel("Frequency")
plt.xlabel("Width")
plt.show()

输出：

​

​