垃圾箱必须单调增加

问题描述

我只想从 skimage.exposure 绘制 Matplotlib 直方图，但我得到一个 ValueError: bins must increase monotonically. 原始图像来自 这里 和这里我的代码:

from skimage import io，曝光导入matplotlib.pyplot作为pltimg = io.imread('img/coins_black_small.jpg', as_grey=True)hist,bins=exposure.histogram(img)plt.hist(bins，hist)

ValueError: bins 必须单调增加.

但是当我对bin值进行排序时，会出现相同的错误:

将 numpy 导入为 npsorted_bins = np.sort(bins)plt.hist(sorted_bins,hist)

ValueError: bins 必须单调增加.

我终于尝试检查bins值，但在我看来它们似乎是有序的(有关这种测试的任何建议也将不胜感激):

if any(bins[:-1] >= bins[1:]):打印边框"

没有输出.

对发生的事情有什么建议吗?
我正在尝试学习 Python，所以请放纵一下.这是我的安装(在 Linux Mint 上):

• Python 2.7.13 :: Anaconda 4.3.1(64 位)
• Jupyter 4.2.1

解决方案

Matplotlib hist 接受数据作为第一个参数，尚未分箱计数.使用 matplotlib bar 绘制它.请注意，与 numpy histogram 不同，skimage exposure.histogram 返回 bin 的中心.

  width = bins [1]-bins [0]plt.bar(bins，hist，align ='center'，width = width)plt.show()

I just want to draw Matplotlib histograms from skimage.exposure but I get a ValueError: bins must increase monotonically. The original image comes from here and here my code:

from skimage import io, exposure
import matplotlib.pyplot as plt

img = io.imread('img/coins_black_small.jpg', as_grey=True)
hist,bins=exposure.histogram(img)

plt.hist(bins,hist)

But the same error arises when I sort the bins values:

import numpy as np
sorted_bins = np.sort(bins)
plt.hist(sorted_bins,hist)

I finally tried to check the bins values, but they seem sorted in my opinion (any advice for this kind of test would appreciated also):

if any(bins[:-1] >= bins[1:]):
    print "bim"

No output from this.

Any suggestion on what happens?
I'm trying to learn Python, so be indulgent please. Here my install (on Linux Mint):

• Python 2.7.13 :: Anaconda 4.3.1 (64-bit)
• Jupyter 4.2.1

解决方案

Matplotlib hist accept data as first argument, not already binned counts. Use matplotlib bar to plot it. Note that unlike numpy histogram, skimage exposure.histogram returns the centers of bins.

width = bins[1] - bins[0]
plt.bar(bins, hist, align='center', width=width)
plt.show()

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