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43 lines
706 B
43 lines
706 B
11 months ago
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import numpy as np
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# Array initialisieren
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org = np.array([1,2,3,4,5,6])
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# Kopiert das int64 Array in ein float64 Array
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def copy_to_float64(source):
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liste = []
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for i in range(source.shape[1]):
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liste.append(float(source[i]))
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return np.array(liste,dtype=float64)
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# Ein paar Kopien anlegen
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copy_sum = org.copy()
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copy_mult = org.copy()
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copy_diff = org.copy()
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copy_div = org.astype(np.float64).copy()
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# Zu allen Elementen 2 dazuzählen
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copy_sum += 2
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print(f'copy_sum={copy_sum}')
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# Alle Elemente mit 2 multiplizieren
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copy_mult *= 2
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print(f'copy_mult={copy_mult}')
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# Von allen Elementen 1 abziehen
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copy_diff -= 1
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print(f'copy_diff={copy_diff}')
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copy_div /=2
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print(f'copy_div={copy_div}')
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