June 2025
Intermediate to advanced
515 pages
17h 5m
English
Content preview from Python For Engineering and Scientific Computing
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6.3 Interpolations
Interpolation determines a value between two points on a curve. For any given discrete data set (e.g., measured values), a continuous function must be found that maps this data. Interpolation is used to predict trends or curve progressions.
The SciPy function interp1d(x,y,kind='linear',...) from the interpolate submodule can solve interpolation problems in the plane. The x and y parameters are arrays with the x-y coordinates of the measuring points. The third parameter specifies the interpolation method, such as linear, next, previous, quadratic, or cubic.
The discrete data shown in Figure 6.3 represents some sampled values of a sine wave. Let’s now search for the interpolating function.
Figure 6.3 Sampled Signal
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