Dear all matplotlib users, Happy New Year. I try to check the distribution of a 2D array and I find that the histogram plot function doesn't respect the numpy masked array?
In [188]: a=range(1,6); b=np.array(a+a[::-1])
In [189]: b=np.ma.masked_equal(b,2); b=np.ma.masked_equal(b,5)
In [190]: b
Out[190]:
masked_array(data = [1 -- 3 4 -- -- 4 3 -- 1],
mask = [False True False False True True False False True
False],
fill_value = 5)
In [191]: n,bins,patches=plt.hist(b)
In [192]: n
Out[192]: array([2, 0, 2, 0, 0, 2, 0, 2, 0, 2])
In [193]: n.sum()
Out[193]: 10
it seems that all the elements (masked or not) are counted in the history
plotting?
and the original value is used but not the fill_value?
I attach a figure below.
In [194]: plt.show()
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Chao YUE
Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL)
UMR 1572 CEA-CNRS-UVSQ
Batiment 712 - Pe 119
91191 GIF Sur YVETTE Cedex
Tel: (33) 01 69 08 29 02; Fax:01.69.08.77.16
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<<attachment: eg_hist.png>>
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