63 lines
2.4 KiB
Python
Executable File
63 lines
2.4 KiB
Python
Executable File
#!/bin/env python3
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import pandas as pd
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import re
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df = pd.DataFrame(
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[
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['Nb', 9.25, 152., '[webb]', 'at 273 K [crc]'],
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['Tc', 8.2, 200., '[webb]', '[rhowiki]'],
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['Pb', 7.2, 213., '[webb]', '[crc]'],
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['La', 6, 615., '[webb]', '[crc]'],
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['V', 5.4, 202., '[webb]', '[crc]'],
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['Ta', 4.4, 135., '[webb]', '[crc]'],
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['Hg', 4.15, 961., '[webb]', 'at 298 K [crc]'],
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['Sn', 3.7, 115., '[webb]', 'at 273 K [crc]'],
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['In', 3.4, 80., '[webb]', 'at 273 K [crc]'],
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['Tl', 2.4, 150., '[webb]', 'at 273 K [crc]'],
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['Re', 1.7, 172., '[webb]', 'at 273 K [crc]'],
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['Th', 1.4, 147., '[webb]', 'at 273 K [crc]'],
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['Pa', 1.4, 108.0, '[webb]', '[crc]' ],
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['U', 1.3, 280., '[webb]', 'at 273 K [crc]'],
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['Al', 1.18, 27.33, '[webb]', '[crc]'],
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['Ga', 1.08, 136., '[webb]', 'at 273 K [crc]'],
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['Am', 1, 689., '[webb]', '[rhowiki]'],
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['Mo', .92, 55.2, '[webb]', '[crc]'],
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['Zn', .85, 60.6, '[webb]', '[crc]'],
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['Os', .7, 81., '[webb]', 'at 273 K [crc]'],
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['Zr', .6, 433., '[webb]', '[crc]'],
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['Cd', .52, 68., '[webb]', 'at 273 K [crc]'],
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['Ru', .5, 71., '[webb]', 'at 273 K [crc]'],
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['Ti', .5, 390., '[webb]', 'at 273 K [crc]'],
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['Hf', .38, 340., '[webb]', '[crc]'],
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['Ir', .1, 47., '[webb]', 'at 273 K [crc]'],
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['Lu', .1, 582., '[webb]', '[crc]'],
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#['Be', 1440, 37.6, '[webb]', '[crc]'],
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['Be', .026, 37.6, '[schmidt] (but [webb] reports 1440 K)', '[crc]'],
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['W', .01, 54.4, '[webb]', '[crc]'],
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['Li', .0004, 95.5, '[webb]', '[crc]'],
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['Rh', .0003, 43., '[webb]', 'at 273 K [crc]'],
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],
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columns = ['element', 'T_c', 'rho_300', 'T_c source', 'rho_300 source']
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)
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table = df.to_latex(index = False, header = ['Element', 'tctex', 'rhotex', 'Tcsource', 'rhosource'])
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table = table.replace('tctex', '$T_c (\\si{\\kelvin})$')
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table = table.replace('rhotex', '$\\rho_{300 K} (\\si{\\nano\\ohm\\meter})$')
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table = table.replace('Tcsource', 'Source $T_c$')
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table = table.replace('rhosource', 'Source $\\rho_{300 K}$')
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table = re.sub(r'\[(\w+)\]', r'\\cite{\1}', table)
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with open('sc_elements.tex', 'w') as table_file:
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table_file.write(table)
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from matplotlib import pyplot as plt
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fig, ax = plt.subplots(figsize=(15, 9))
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df.plot('rho_300', 'T_c', kind='scatter', ax=ax)
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for k, v in df.iterrows():
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ax.annotate(v['element'], (v['rho_300'], v['T_c']))
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#fig.show()
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fig.savefig('/home/kvkempen/Documents/20212022Q3/Superconductivity/assignments/sc_elements.pdf')
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plt.close(fig)
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