=============== Documentation =============== Interpolations ============== .. contents:: Interpolations need the `scipy python module `_. To enable it just specify the interpolation type to: - linear - nearest - zero - slinear - quadratic - cubic - krogh - barycentric - univariate - or an integer representing the order of the spline interpolator For more info see `interp1d definition on scipy `_ Without interpolation: ---------------------- `interpolation` .. pygal-code:: chart = pygal.Line() chart.add('line', [1, 5, 17, 12, 5, 10]) With cubic interpolation: ------------------------- `interpolation` .. pygal-code:: chart = pygal.Line(interpolate='cubic') chart.add('line', [1, 5, 17, 12, 5, 10]) With krogh interpolation: ------------------------- `interpolation` .. pygal-code:: chart = pygal.Line(interpolate='krogh') chart.add('line', [1, 5, 17, 12, 5, 10]) Interpolation precision ----------------------- `interpolation_precision` You can change the resolution of the interpolation with the help of `interpolation_precision`: .. pygal-code:: chart = pygal.Line(interpolate='krogh', interpolation_precision=15) chart.add('line', [1, 5, 17, 12, 5, 10]) .. pygal-code:: chart = pygal.Line(interpolate='krogh', interpolation_precision=50) chart.add('line', [1, 5, 17, 12, 5, 10])