来自已经分箱的数据的直方图,我有箱子和频率值

时间:2013-06-21 14:44:09

标签: python matplotlib histogram

所有带有hist()的matplotlib examples都会生成一个数据集,将数据集提供给hist函数,并带有一些二进制数(可能是非均匀间隔),并且该函数会自动计算和然后绘制直方图。

我已经有直方图数据,我只想绘制它,我该怎么做?!例如,我有箱子(半开放范围用方括号和弯曲括号表示),

[0, 1)   0
[1, 2)   3
[2, 3)   8
[3, 4)   6
[4, 5)   2
[5, 6)   3
[6, 7)   1
[7, 8)   0

2 个答案:

答案 0 :(得分:11)

也许重量参数对您的问题有帮助。

import matplotlib.pyplot as plt

a= [1,2,3,4,5,6,7,8,9]
b= [5,3,4,5,3,2,1,2,3]
plt.hist(a,9, weights=b)
plt.show()

或者,正如tcaswell所说,你可以制作条形图并改变x轴。

Using matplotlib how could I plot a histogram with given data in python

是一个链接。

答案 1 :(得分:1)

此外,作为替代方案(类似于Matlab),您可以使用dataset = pd.read_csv(r'Documents/clusters.csv') X = dataset.iloc[:, 1] X = X.values.reshape(1, -1) from sklearn.cluster import OPTICS db = OPTICS(eps=3, min_samples=0).fit(X)

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enter image description here

然后,您还可以添加标题和其他内容,最后保存图像:

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