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58 lines
1.3 KiB
Python
58 lines
1.3 KiB
Python
from src.logger import LOG
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def create_string_array(values):
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return f"[{','.join(str(x) for x in values)}]"
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def create_distribution_script(*, values, title, save_path):
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values_string = create_string_array(values)
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output = f'''
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import numpy as np
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import matplotlib.pyplot as plt
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a = np.hstack({values_string})
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plt.hist(a, bins='auto') # arguments are passed to np.histogram
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plt.title("{title}")
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plt.show()'''
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fh = open(save_path, 'w')
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fh.write(output)
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fh.close()
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LOG.info(f'Run: {save_path}, to look at {title} distribution.')
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def create_plots(*, plots, xlabel, ylabel, save_path):
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legends = "["
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xlist = "["
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ylist = "["
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for plot in plots:
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legends += "'" + plot['legend'] + "'" + ','
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xlist += create_string_array(plot['points_x']) + ','
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ylist += create_string_array(plot['points_y']) + ','
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legends += ']'
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xlist += ']'
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ylist += ']'
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output = f'''
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import pylab
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legends = {legends}
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xlist = {xlist}
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ylist = {ylist}
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for (x, y, l) in zip(xlist, ylist, legends):
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pylab.plot(x, y, label=l)
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pylab.axhline(0, color='red', marker='o', linestyle='dashed')
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pylab.xlabel("{xlabel}")
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pylab.ylabel("{ylabel}")
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pylab.legend()
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pylab.tight_layout()
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pylab.show()
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'''
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fh = open(save_path, 'w')
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fh.write(output)
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fh.close()
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LOG.info(f'Run: {save_path}, to look at {xlabel} x {ylabel} plot.')
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