Pattern 1: Load and Process Engineering Data (+2)
Pattern 1: Load and Process Engineering Data
import numpy as np
# Load CSV data
data = np.loadtxt('../data/measurements.csv', delimiter=',', skiprows=1)
# Extract columns
time = data[:, 0]
temperature = data[:, 1]
pressure = data[:, 2]
*See sub-skills for full details.*
## Pattern 2: Solve System of Equations
```python
from scipy.optimize import fsolve
def system(vars):
x, y, z = vars
eq1 = x + y + z - 6
eq2 = 2*x - y + z - 1
eq3 = x + 2*y - z - 3
return [eq1, eq2, eq3]
solution = fsolve(system, [1, 1, 1])
Pattern 3: Curve Fitting
from scipy.optimize import curve_fit
def model(x, a, b, c):
return a * np.exp(-b * x) + c
# Fit data
params, covariance = curve_fit(model, x_data, y_data)
a_fit, b_fit, c_fit = params
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