SciPy TutorialLesson 10Free preview
SciPy Interpolation
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Summary
Interpolation is the technique of estimating the value between known data dots to form a continuous function. It provides a variety of methods ranging from linear, cubic, to splines interpolation. This technique is useful when measurement data is available at finite dots but values are needed at other positions.
Key points
- Interpolation estimates the value between the data dots that exist
- Common methods include linear, cubic, and spline
- Interp1d constructs interpolation functions from the observation point
- The smoother the method, the smoother the resulting curve.
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