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What the object means ... in a numpy array. I am working with a database and when I use the Unique method in one of the columns, between the objects it returns this ... What these reservations represent?
1 answer
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He does not "return" .... When the array has a number of elements greater than a certain threshold (the default value is 1000) the numpy places ... just to say that it has more elements that it is not showing. For example
a = np.arange(10000)
print(a)
will display
array([ 0, 1, 2, ..., 9997, 9998, 9999])
This array has 10000 elements and ... is not in the array.
You can see the threshold with the command
np.get_printoptions()
that this shows
{'edgeitems': 3,
'threshold': 1000,
'floatmode': 'maxprec',
'precision': 4,
'suppress': False,
'linewidth': 140,
'nanstr': 'nan',
'infstr': 'inf',
'sign': '-',
'formatter': None,
'legacy': False}
You can display all the elements in a loop or change the threshold to something larger. For example, using np.set_printoptions(threshold=2000) then arrays with up to 2000 elements will be displayed without .... I think 1000 is a very sensible figure.
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