Comments (7)
Freed-Wu
commented on May 27, 2024
1
No.
import numpy as np
from matplotlib import pyplot as plt
a = np.arange(10.)
a[2:5] = [np.nan] * 3
plt.plot(a)
plt.show()
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olavolav
commented on May 27, 2024
@Freed-Wu Thanks for the suggestion! I guess what you would want is that when plotting NaN's are silently dropped, right?
So plot([1,2,3]) should be itentical to plot([1,2,3,np.nan]), right?
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olavolav
commented on May 27, 2024
Okay got it, I'll look into it. Might be that I'll only get around to the simpler option of the above.
Let me know if you want to have a go at this yourself, and we'll coordinate
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Freed-Wu
commented on May 27, 2024
Not sure. I notice another library named plotext has same problem, however, it only ignore NaN (the simpler option of the above). I maybe try to solve piccolomo/plotext#114
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olavolav
commented on May 27, 2024
@Freed-Wu It sounds like you have another solution now. In any case I've implemented the simple version we discussed in 0.6.0 and maybe I'll get around to the more sophisticated one eventually.
Thank you for your input!
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Freed-Wu
commented on May 27, 2024
You are welcome. 😄
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olavolav
commented on May 27, 2024
This should now work as requested. 😄
>>> import numpy as np
>>> from uniplot import plot
>>> a = np.arange(10.)
>>> a[2:5] = [np.nan] * 3
>>> plot(a, lines=True)
┌────────────────────────────────────────────────────────────┐
│ ▗▄▀▀│
│ ▄▞▀▘ │ 8
│ ▗▄▀▀ │
│ ▄▞▀▘ │
│ ▗▄▀▀ │
│ ▄▞▀▘ │
│ ▗▄▀▀ │
│ ▞▀▘ │
│ │
│ │ 4
│ │
│ │
│ │
│ │
│ │
│ ▗▄▞▀ │
│▄▄▀▘▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁│ 0
└────────────────────────────────────────────────────────────┘
2 5 7 10
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