32 lines
1.1 KiB
Python
32 lines
1.1 KiB
Python
import matplotlib.pyplot as plt
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import seaborn as sns
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import numpy as np
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# Deine Daten (in mV)
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data_10g = [412, 284, 360, 548, 280, 304, 380, 312, 278, 444]
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data_20g = [960, 960, 992, 968, 936, 952, 1160, 1200, 1010, 1000]
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data_50g = [1180, 2020, 1120, 1260, 1240, 1580, 1140, 2340, 1700, 1060]
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data_100g = [4080, 5280, 5160, 5080, 3520, 4280, 4800, 5120, 4400, 4240]
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data = [data_10g, data_20g, data_50g, data_100g]
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labels = ['10g', '20g', '50g', '100g']
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means = [np.mean(d) for d in data]
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# Violin Plots
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plt.figure(figsize=(8, 6))
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ax = sns.violinplot(data=data, inner="box")
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# X-Achsen-Ticks und Beschriftungen anpassen
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x_coords = ax.get_xticks() # X-Koordinaten der Ticks abrufen
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new_labels = []
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for i, label in enumerate(labels):
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new_labels.append(f"{label}\n⌀ {means[i]:.2f} mV") # Neue Beschriftungen mit Durchschnitt
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ax.set_xticks(x_coords) # Ticks setzen
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ax.set_xticklabels(new_labels) # Neue Beschriftungen setzen
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ax.set_xlabel('Gewicht')
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ax.set_ylabel('Ergebnis [mV]')
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ax.set_title('Messwert Aufteilung der gemessenen Spannungen pro Gewicht')
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plt.tight_layout()
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plt.show() |