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