Comments (1)
Look at:
https://github.com/JuliaDiffEq/DiffEqBase.jl/blob/master/src/solutions/solution_interface.jl#L58-L69
default plot density 10_000
(evenly spaced points) and defaulting to dense plotting, but the ability to turn it off and just plot the data points.
Converting it to this after generating the points would give a nice plot recipe:
https://github.com/JuliaDiffEq/RecursiveArrayTools.jl#diffeqarray
from datainterpolations.jl.
Related Issues (20)
- Extrapolations HOT 4
- Better show methods HOT 1
- Support for `SymbolicUtils.BasicSymbolic{Real}` HOT 1
- Few methods don't extrapolate, derivatives, integrals not implemented HOT 4
- Improve docstrings HOT 1
- Specialize the bracketing index lookup for ranges
- typos HOT 1
- Bug in derivative of Lagrange Interpolation HOT 1
- Derivative of BSplines at t=ts[1] always gives 0
- Inconsistency in Interface
- FiniteDiff vs FiniteDifferences HOT 1
- Quintic Hermite Interpolation
- ForwardDiff.gradient fails on interpolated function when passing a vector input HOT 5
- Boundary condition of Cubic Spline interpolation HOT 3
- BSplineInterpolation errors on small vectors
- Data interpolation unexpectedly behaves like a vector HOT 1
- Error displaying symbolic interpolations HOT 9
- Register HOT 1
- Type instability: Interpolations in v5 return Vector{Any} with all-Vector{Float64} inputs
- Bad type inference with RegularizationSmooth
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from datainterpolations.jl.