mirror of
https://github.com/kuhyx/WUT_Computer_Science.git
synced 2026-07-04 20:43:06 +02:00
128 lines
3.9 KiB
Python
128 lines
3.9 KiB
Python
import matplotlib.pyplot as plt
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# Prepare the datasets
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datasets_200Hz = []
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datasets_400Hz = []
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# Dataset 1: Wieloton 200 Hz, 7 (1400 Hz), 3 składowe
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# Starting x value is 1400 Hz
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datasets_200Hz.append({
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'name': '200 Hz, 7 (1400 Hz), 3 składowe',
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'x': [1400 + 0, 1400 + 50, 1400 + 100, 1400 + 150],
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'y': [200, 200, 215, 230]
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})
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# Dataset 2: Wieloton 200 Hz, 7 (1400 Hz), 7 składowych
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datasets_200Hz.append({
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'name': '200 Hz, 7 (1400 Hz), 7 składowych',
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'x': [1400 + 0, 1400 + 50, 1400 + 100, 1400 + 150],
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'y': [190, 190, 200, 195]
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})
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# Dataset 3: Wieloton 200 Hz, 10 (2000 Hz), 3 składowe
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# Starting x value is 2000 Hz
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datasets_200Hz.append({
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'name': '200 Hz, 10 (2000 Hz), 3 składowe',
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'x': [2000 + 0, 2000 + 50, 2000 + 100, 2000 + 150],
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'y': [225, 215, 220, 265]
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})
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# Dataset 4: Wieloton 200 Hz, 10 (2000 Hz), 7 składowych
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datasets_200Hz.append({
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'name': '200 Hz, 10 (2000 Hz), 7 składowych',
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'x': [2000 + 0, 2000 + 50, 2000 + 100, 2000 + 150],
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'y': [190, 205, 205, 210]
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})
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# Dataset 4: Wieloton 200 Hz, 10 (2000 Hz), 7 składowych
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datasets_200Hz.append({
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'name': 'Shouten - 7',
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'x': [1400 + 0, 1400 + 50, 1400 + 100, 1400 + 150],
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'y': [200, 207.5, 214, 222]
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})
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# Dataset 4: Wieloton 200 Hz, 10 (2000 Hz), 7 składowych
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datasets_200Hz.append({
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'name': 'Shouten - 10',
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'x': [2000 + 0, 2000 + 50, 2000 + 100, 2000 + 150],
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'y': [200, 205, 210, 215]
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})
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# Dataset 5: Wieloton 400 Hz, 7 (2800 Hz), 3 składowe
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# Starting x value is 2800 Hz
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datasets_400Hz.append({
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'name': '400 Hz, 7 (2800 Hz), 3 składowe',
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'x': [2800 + 0, 2800 + 100, 2800 + 200, 2800 + 300],
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'y': [405, 410, 410, 405]
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})
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# Dataset 6: Wieloton 400 Hz, 7 (2800 Hz), 7 składowych
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datasets_400Hz.append({
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'name': '400 Hz, 7 (2800 Hz), 7 składowych',
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'x': [2800 + 0, 2800 + 100, 2800 + 200, 2800 + 300],
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'y': [410, 420, 420, 425]
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})
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# Dataset 7: Wieloton 400 Hz, 10 (4000 Hz), 3 składowe
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# Starting x value is 4000 Hz
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datasets_400Hz.append({
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'name': '400 Hz, 10 (4000 Hz), 3 składowe',
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'x': [4000 + 0, 4000 + 100, 4000 + 200, 4000 + 300],
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'y': [407, 419, 425, 425]
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})
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# Dataset 8: Wieloton 400 Hz, 10 (4000 Hz), 7 składowych
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# Note: The last two 'Wynik [Hz]' values seem inconsistent.
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# They are much lower than expected based on prior values.
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# Assuming there might be typos, and they should be 2200 and 2400
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# instead of 220 and 240.
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datasets_400Hz.append({
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'name': '400 Hz, 10 (4000 Hz), 7 składowych',
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'x': [4000 + 0, 4000 + 100, 4000 + 200, 4000 + 300],
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'y': [405, 410, 415, 415] # Original data
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})
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datasets_400Hz.append({
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'name': 'Shouten - 7',
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'x': [2800 + 0, 2800 + 100, 2800 + 200, 2800 + 300],
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'y': [400, 414, 428, 443]
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})
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datasets_400Hz.append({
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'name': 'Shouten - 10',
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'x': [4000 + 0, 4000 + 100, 4000 + 200, 4000 + 300],
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'y': [400, 410, 420, 430] # Original data
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})
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# Plot the data for 200 Hz
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plt.figure(figsize=(12, 8))
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for dataset in datasets_200Hz:
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if 'Shouten' in dataset['name']:
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plt.plot(dataset['x'], dataset['y'], marker='s', color='red', label=dataset['name']) # Shouten datasets
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else:
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plt.plot(dataset['x'], dataset['y'], marker='o', label=dataset['name']) # Other datasets
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plt.xlabel('Frequency [Hz]')
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plt.ylabel('Result [Hz]')
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plt.title('Combined Graph of Results for 200 Hz')
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plt.legend()
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plt.grid(True)
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plt.savefig('results_200Hz.png') # Save the plot
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plt.show()
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# Plot the data for 400 Hz
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plt.figure(figsize=(12, 8))
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for dataset in datasets_400Hz:
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if 'Shouten' in dataset['name']:
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plt.plot(dataset['x'], dataset['y'], marker='s', color='red', label=dataset['name']) # Shouten datasets
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else:
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plt.plot(dataset['x'], dataset['y'], marker='o', label=dataset['name']) # Other datasets
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plt.xlabel('Frequency [Hz]')
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plt.ylabel('Result [Hz]')
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plt.title('Combined Graph of Results for 400 Hz')
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plt.legend()
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plt.grid(True)
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plt.savefig('results_400Hz.png') # Save the plot
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plt.show() |