Python pylab直方图摆脱nan
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pylab histogram get rid of nan
提问by usethedeathstar
I have a problem with making a histogram when some of my data contains "not a number" values. I can get rid of the error by using nan_to_numfrom numpy, but than i get a lot of zero values which mess up the histogram as well.
当我的某些数据包含“非数字”值时，我在制作直方图时遇到问题。我可以通过使用nan_to_numnumpy来消除错误，但是我得到了很多零值，这也弄乱了直方图。
pylab.figure()
pylab.hist(numpy.nan_to_num(A))
pylab.show()
So the idea would be to make another array in which all the nan values are gone, or to just mask them in the histogram in some way (preferrably with some builtin method).
所以这个想法是制作另一个数组，其中所有的 nan 值都消失了，或者只是以某种方式在直方图中掩盖它们（最好使用一些内置方法）。
采纳答案by jabaldonedo
Remove np.nanvalues from your array using A[~np.isnan(A)], this will select all entries in Awhich values are not nan, so they will be excluded when calculating histogram. Here is an example of how to use it:
使用 删除np.nan数组中的值A[~np.isnan(A)]，这将选择A值不是 的所有条目nan，因此在计算直方图时将排除它们。以下是如何使用它的示例：
>>> import numpy as np
>>> import pylab
>>> A = np.array([1,np.nan, 3,5,1,2,5,2,4,1,2,np.nan,2,1,np.nan,2,np.nan,1,2])
>>> pylab.figure()
>>> pylab.hist(A[~np.isnan(A)])
>>> pylab.show()
