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This is not an abstract symbolic expression for a rage - which I would still like, but this answer uses numpy to provide its default output summary with ellipses for large arrays. Solves my practical problem of too much output. ref: https://doc.sagemath.org/html/en/thematic_tutorials/numerical_sage/numpy.html

  import numpy as np

    l = np.array(srange(-3,3,0.002))
    show(l)

   [⎯𝟹.⎯𝟸.𝟿𝟿𝟾⎯𝟸.𝟿𝟿𝟼...𝟸.𝟿𝟿𝟺𝟸.𝟿𝟿𝟼𝟸.𝟿𝟿𝟾]

This is not an abstract symbolic expression for a rage - which I would still like, but this answer uses numpy to provide its default output summary with ellipses for large arrays. Solves my practical problem of too much output. output.
ref: https://doc.sagemath.org/html/en/thematic_tutorials/numerical_sage/numpy.html

  import numpy as np

    l = np.array(srange(-3,3,0.002))
    show(l)

   [⎯𝟹.⎯𝟸.𝟿𝟿𝟾⎯𝟸.𝟿𝟿𝟼...𝟸.𝟿𝟿𝟺𝟸.𝟿𝟿𝟼𝟸.𝟿𝟿𝟾]

This is not an abstract symbolic expression for a rage range - which I would still like, but this answer uses numpy to provide its default output summary with ellipses for large arrays. Solves my practical problem of too much output.
ref: https://doc.sagemath.org/html/en/thematic_tutorials/numerical_sage/numpy.html

  import numpy as np

   l = np.array(srange(-3,3,0.002))
    show(l)

   [⎯𝟹.⎯𝟸.𝟿𝟿𝟾⎯𝟸.𝟿𝟿𝟼...𝟸.𝟿𝟿𝟺𝟸.𝟿𝟿𝟼𝟸.𝟿𝟿𝟾]

This is not an abstract symbolic expression for a range - which I would still like, but this answer uses numpy to provide its default output summary with ellipses for large arrays. Solves my practical problem of too much output.
ref: https://doc.sagemath.org/html/en/thematic_tutorials/numerical_sage/numpy.html

  import numpy as np

  l = np.array(srange(-3,3,0.002))
np.array(srange(-3.0, 3.0, 0.002))
    show(l)

   [⎯𝟹.⎯𝟸.𝟿𝟿𝟾⎯𝟸.𝟿𝟿𝟼...𝟸.𝟿𝟿𝟺𝟸.𝟿𝟿𝟼𝟸.𝟿𝟿𝟾]