mirror of https://github.com/Kozea/pygal.git
Python to generate nice looking SVG graph
http://pygal.org/
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76 lines
1.4 KiB
76 lines
1.4 KiB
=============== |
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Documentation |
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=============== |
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Interpolations |
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============== |
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.. contents:: |
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Interpolations need the `scipy python module <http://www.scipy.org/>`_. |
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To enable it just specify the interpolation type to: |
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- linear |
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- nearest |
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- zero |
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- slinear |
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- quadratic |
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- cubic |
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- krogh |
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- barycentric |
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- univariate |
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- or an integer representing the order of the spline interpolator |
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For more info see `interp1d definition on scipy <http://docs.scipy.org/doc/scipy/reference/generated/scipy.interpolate.interp1d.html#scipy.interpolate.interp1d>`_ |
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Without interpolation: |
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---------------------- |
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`interpolation` |
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.. pygal-code:: |
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chart = pygal.Line() |
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chart.add('line', [1, 5, 17, 12, 5, 10]) |
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With cubic interpolation: |
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------------------------- |
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`interpolation` |
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.. pygal-code:: |
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chart = pygal.Line(interpolate='cubic') |
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chart.add('line', [1, 5, 17, 12, 5, 10]) |
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With krogh interpolation: |
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------------------------- |
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`interpolation` |
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.. pygal-code:: |
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chart = pygal.Line(interpolate='krogh') |
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chart.add('line', [1, 5, 17, 12, 5, 10]) |
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Interpolation precision |
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----------------------- |
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`interpolation_precision` |
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You can change the resolution of the interpolation with the help of `interpolation_precision`: |
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.. pygal-code:: |
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chart = pygal.Line(interpolate='krogh', interpolation_precision=15) |
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chart.add('line', [1, 5, 17, 12, 5, 10]) |
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.. pygal-code:: |
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chart = pygal.Line(interpolate='krogh', interpolation_precision=50) |
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chart.add('line', [1, 5, 17, 12, 5, 10])
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