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) ValueError: bins must increase monotonically.
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) ValueError: bins must increase monotonically.
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
3 Answers
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() The correct solution is:
All bin values must be whole numbers, no decimals! You can use round() function.
The signature of plt.hist is plt.hist(data, bins, ...). So you are trying to plug the already computed histogram as bins into the matplotlib hist function. The histogram is of course not sorted and therefore the "bins must increase monotonically"-error is thrown.
While you could of course use plt.hist(hist, bins), it's questionable if histogramming a histogram is of any use. I would guess that you want to simply plot the result of the first histogramming.
Using a bar chart would make sense for this purpose:
hist,bins=numpy.histogram(img) plt.bar(bins[:-1], hist, width=(bins[-1]-bins[-2]), align="edge") 
