55 lines
1.7 KiB
Python
55 lines
1.7 KiB
Python
# Storage interfaces rates from
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# https://en.wikipedia.org/wiki/List_of_interface_bit_rates#Storage
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# Table data extracted with: https://wikitable2csv.ggor.de/
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import numpy as np
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import matplotlib
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from matplotlib import pyplot as plt
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plt.style.use('ggplot')
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matplotlib.rcParams['font.size'] = 12
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matplotlib.rcParams['font.family'] = ['Exo 2', 'sans-serif']
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data = open('storage.csv', 'rt')
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# remove units and rescale everything to MB/s
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b_to_mb = 1/(1024*1024)
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kb_to_mb = 1/1024
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gb_to_mb = 1024
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rescaled = []
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for line in data:
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typ, rate, year = line.split(',')
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value, unit = rate.split()
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value = float(value)
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if unit == 'B/s':
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value = value*b_to_mb
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elif unit == 'KB/s':
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value = value*kb_to_mb
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elif unit == 'MB/s':
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pass
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elif unit == 'GB/s':
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value = value*gb_to_mb
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else:
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raise ValueError(f'Unit not understood! {unit}')
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rescaled.append((int(year), value))
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dtype = [('year', np.float64), ('speed', np.float64)]
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rescaled = np.array(rescaled, dtype=dtype)
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# sort first by year and then by value
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rescaled.sort(order=['year', 'speed'])
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# plot the thing
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plt.figure(figsize=(8.5,7.5))
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plt.semilogy(rescaled['year'], rescaled['speed'], 'o')
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# my laptop here
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plt.semilogy([2023], [6585], 'o')
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plt.grid(None)
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plt.grid(which='both', axis='y')
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plt.grid(which='both', axis='x')
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plt.ylim(b_to_mb, 100*gb_to_mb)
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plt.xlim(1960, 2025)
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years = range(1960,2026,5)
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plt.xticks(years, years, rotation=45, ha='center')
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plt.yticks([b_to_mb, kb_to_mb, 1, 10, 100, gb_to_mb, 10*gb_to_mb, 100*gb_to_mb],
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['1 B/s', '1 KB/s', '1 MB/s', '10 MB/s', '100 MB/s', '1 GB/s', '10 GB/s', '100 GB/s'])
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plt.tick_params(labeltop=False, labelright=True, top=True, right=True)
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plt.title('Storage (read) speed')
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plt.savefig('storage.svg')
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