compact coefficient show for Fun

[jishnub]

On master

julia> f = Fun((x,y) -> x^2*y^2, Chebyshev()^2)
Fun(Chebyshev() ⊗ Chebyshev(), [0.25, 0.0, -4.0571552518292214e-17, 0.25, 0.0, 0.24999999999999994, 0.0, -5.001914895543676e-17, 0.0, -1.0316031908487694e-17, -3.271192840413408e-17, 0.0, 0.24999999999999994])

This PR

julia> f = Fun((x,y) -> x^2*y^2, Chebyshev()^2)
Fun(Chebyshev() ⊗ Chebyshev(), [0.25, 0.0, -4.05716e-17, 0.25, 0.0, 0.25, 0.0, -5.00191e-17, 0.0, -1.0316e-17, -3.27119e-17, 0.0, 0.25])

[codecov]

Codecov Report

Base: 71.98% // Head: 72.06% // Increases project coverage by +0.07% 🎉

Coverage data is based on head (d028904) compared to base (6e231f8).
Patch coverage: 96.42% of modified lines in pull request are covered.

Additional details and impacted files

@@            Coverage Diff             @@
##           master     #371      +/-   ##
==========================================
+ Coverage   71.98%   72.06%   +0.07%     
==========================================
  Files          79       79              
  Lines        8311     8323      +12     
==========================================
+ Hits         5983     5998      +15     
+ Misses       2328     2325       -3     

Impacted Files	Coverage Δ
src/Multivariate/TrivialTensorFun.jl	96.00% <ø> (ø)
src/Operators/SubOperator.jl	83.16% <88.88%> (+0.16%)	⬆️
src/ApproxFunBase.jl	83.33% <100.00%> (+2.38%)	⬆️
src/LinearAlgebra/helper.jl	64.93% <100.00%> (+0.69%)	⬆️
src/Multivariate/TensorSpace.jl	88.08% <100.00%> (+0.58%)	⬆️
src/Operators/banded/CalculusOperator.jl	78.89% <100.00%> (+0.19%)	⬆️
src/PDE/KroneckerOperator.jl	79.60% <100.00%> (ø)
src/Space.jl	86.08% <100.00%> (+0.12%)	⬆️
src/show.jl	98.47% <100.00%> (ø)
src/Spaces/ArraySpace.jl	75.42% <0.00%> (-0.85%)	⬇️
... and 2 more

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