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How to remove all rows in a numpy.ndarray that contain non-numeric values
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>>> a = np.array([[1,2,3], [4,5,np.nan], [7,8,9]])
array([[ 1., 2., 3.],
[ 4., 5., nan],
[ 7., 8., 9.]])
>>> a[~np.isnan(a).any(axis=1)]
array([[ 1., 2., 3.],
[ 7., 8., 9.]])
and reassign this to a...
How do I find a list of Homebrew's installable packages?
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background:none vs background:transparent what is the difference?
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How can I rotate an HTML 90 degrees?
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answered Jan 9 '13 at 10:41
Dziad BorowyDziad Borowy
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Explanation of JSHint's Bad line breaking before '+' error
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Enums and Constants. Which to use when?
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answered Mar 5 '09 at 7:13
Andrew BarrettAndrew Barrett
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How to add a footer to a UITableView in Storyboard
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How can I assign the output of a function to a variable using bash?
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How to check if a column exists in Pandas
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