本文介绍了在matplotlib中不绘制“零"或将零更改为“无" [Python]的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
我有下面的代码,我想将数据中的所有零转换为None
(因为我不想在matplotlib中绘制数据).但是,该代码无法正常工作,并且仍在打印0.
I have the code below and I would like to convert all zero's in the data to None
's (as I do not want to plot the data here in matplotlib). However, the code is notworking and 0.
is still being printed
sd_rel_track_sum=np.sum(sd_rel_track, axis=1)
for i in sd_rel_track_sum:
print i
if i==0:
i=None
return sd_rel_track_sum
任何人都可以想到解决方案.或只是我如何将所有0转移到None
的答案.或者只是不绘制Matplotlib中的零值.
Can anyone think of a solution to this. Or just an answer for how I can transfer all 0 to None
. Or just not plot the zero values in Matplotlib.
推荐答案
values = [3, 5, 0, 3, 5, 1, 4, 0, 9]
def zero_to_nan(values):
"""Replace every 0 with 'nan' and return a copy."""
return [float('nan') if x==0 else x for x in values]
print(zero_to_nan(values))
给您
[3, 5, nan, 3, 5, 1, 4, nan, 9]
Matplotlib不会绘制nan
(不是数字)值.
Matplotlib won't plot nan
(not a number) values.
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