What are some examples of interpolation using SciPy?
SciPy offers various interpolation methods. Would you like to see examples of linear, cubic, or spline interpolation?
Can you show me a linear interpolation example?
Sure! Here's a simple example using scipy.interpolate.interp1d
for linear interpolation:
import numpy as np
from scipy.interpolate import interp1d
# Sample data
x = np.array([0, 1, 2, 3, 4])
y = np.array([0, 1, 4, 9, 16])
# Create a linear interpolation function
linear_interp = interp1d(x, y)
# Interpolate at new points
new_x = np.array([1.5, 2.5])
new_y = linear_interp(new_x)
print(new_y) # Output: [2.5 6.5]
What about cubic interpolation?
For cubic interpolation, you can use the same interp1d
function but specify the kind as 'cubic'. Here's an example:
cubic_interp = interp1d(x, y, kind='cubic')
new_y_cubic = cubic_interp(new_x)
print(new_y_cubic) # Output will be smoother than linear interpolation.
Thanks! Can you explain spline interpolation?
Absolutely! Spline interpolation can be done using scipy.interpolate.UnivariateSpline
. It fits a spline to the data points. Here's a quick example:
from scipy.interpolate import UnivariateSpline
spline = UnivariateSpline(x, y)
new_y_spline = spline(new_x)
print(new_y_spline) # This will give you a smooth curve through the points.
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