forked from IPKM/nmreval
use gnuplot as lightweight plotter
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@ -11,6 +11,7 @@ import numpy as np
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from nmreval.data.points import Points
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from nmreval.io.asciireader import AsciiReader
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from nmreval.io.hdfreader import HdfReader
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from nmreval.lib.logger import logger
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from nmreval.utils.utils import get_temperature, roundrobin
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@ -56,7 +57,7 @@ class FCReader:
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_temp = self._read_from_dir(filename)
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else:
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raise TypeError
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raise TypeError(f'{filename} is of unknown type')
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if not _temp:
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raise OSError(-666, f'No magnetization found for {filename.name}.', filename.name)
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@ -224,33 +225,30 @@ class FCReader:
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img_file = image_path.joinpath(save_name).with_suffix(".png")
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gnuplot_args = [
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'gnuplot',
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'-e',
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'set terminal png',
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f'set output "{img_file}"',
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f'set title "f = {k:.4g} Hz\n{p0[2]:.4g}(+/-{perr[2]:.4g}) beta: {p0[3]:.4g}(+/-{perr[3]:.4g})"',
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'set xlabel "t / s"',
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'set logscale x',
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'set format x "10^{{%L}}"',
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'set ylabel "M"',
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'set key off',
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f'plot "{data_path.joinpath(save_name)}" with points pointtype 5, "{fit_path.joinpath(save_name)}" with lines',
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'set terminal png;',
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f'set output "{img_file}";',
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f'set title "f = {k:.4g} Hz\\n{p0[2]:.4g}(+/-{perr[2]:.4g}) beta: {p0[3]:.4g}(+/-{perr[3]:.4g})";',
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'set xlabel "t / s";',
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'set logscale x;',
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'set format x "10^{{%L}}";',
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'set ylabel "M";',
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'set key off;',
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f'plot "{data_path.joinpath(save_name)}" with points pointtype 5, "{fit_path.joinpath(save_name)}" with lines;',
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]
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print(gnuplot_args)
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subprocess.Popen(gnuplot_args)
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# if save_fig:
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# fig, ax = plt.subplots()
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# ax.set_xlabel('t / s')
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# ax.set_ylabel('M')
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# axheader = f'T1: {p0[2]:.4g}(+/-{perr[2]:.4g}) beta: {p0[3]:.4g}(+/-{perr[3]:.4g})'
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# ax.set_title(f'f = {k:.4g} Hz\n{axheader}')
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# ax.semilogx(v.x, v.y, 'o')
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# ax.semilogx(xplot, yplot, '-')
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# fig.savefig(image_path.joinpath(save_name).with_suffix('.png'))
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# plt.close(fig)
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try:
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proc = subprocess.Popen(
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['gnuplot', '-p'],
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shell=True,
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stdin=subprocess.PIPE,
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encoding='utf8',
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)
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for args in gnuplot_args:
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proc.stdin.write(args)
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proc.stdin.write('quit\n')
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proc.stdin.flush()
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except Exception as e:
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logger.error(f'saving image {save_name} failed', e)
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freqs = np.asanyarray(freqs)
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params = np.asanyarray(params)
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