Solved Task 2.1

roman_schenk_S1_Aufg2.py

@@ -0,0 +1,49 @@
+import numpy as np
+import matplotlib.pyplot as plt
+
+plotLegend = []
+
+def showPlot(xmin, xmax, xsteps):
+    plt.xlim(-11, 11)
+    plt.xticks(np.arange(xmin, xmax + xsteps, 1.0))
+    plt.xlabel("x")
+    plt.ylim(-1300, 1300)
+    plt.ylabel("y")
+    plt.grid(markevery=1)
+    plt.legend(plotLegend)
+    plt.title("Aufgabe 2")
+    plt.show()
+
+def polynom_function(coefficients, x):
+    n = len(coefficients) - 1
+    result = 0
+    for power, coefficient in enumerate(coefficients):
+        result += coefficient * x ** power
+        power += 1
+    return result
+
+def plot_polynom_function(coefficients, xmin, xmax, xsteps):
+    x = np.arange(xmin, xmax + xsteps, xsteps)
+    f = np.array(polynom_function(coefficients, x))
+    plt.plot(x, f)
+    plotLegend.append('f(x)')
+
+def plot_derivative_f(xmin, xmax, xsteps):
+    x = np.arange(xmin, xmax + xsteps, xsteps)
+    f = np.array(polynom_function(x))
+    plt.plot(x, f)
+    plotLegend.append('f\'(x)')
+
+def plot_integral_f(xmin, xmax, xsteps):
+    x = np.arange(xmin, xmax + xsteps, xsteps)
+    f = np.array(polynom_function(x))
+    plt.plot(x, f)
+    plotLegend.append('F(x)')
+
+if __name__ == "__main__":
+    xmin, xmax, xsteps = -10, 10, 0.1
+    coefficients_task_1 = [-105, 29, 110, -30, -5, 1]
+    plot_polynom_function(coefficients_task_1, xmin, xmax, xsteps)
+    #plot_derivative_f(xmin, xmax, xsteps)
+    #plot_integral_f(xmin, xmax, xsteps)
+    showPlot(xmin, xmax, xsteps)