forked from IPKM/nmreval
Remove matplotlib dependence to fix T234
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551a06cb4b
commit
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@ -41,8 +41,8 @@ AppDir:
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- python3.9-minimal
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- python3.9-minimal
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- python3-pyqt5
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- python3-pyqt5
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- python3-numpy
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- python3-numpy
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- python3-matplotlib
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# - python3-matplotlib
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- python-matplotlib-data
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# - python-matplotlib-data
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- python3-scipy
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- python3-scipy
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- python3-bsddb3
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- python3-bsddb3
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- python3-h5py
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- python3-h5py
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@ -2,7 +2,7 @@ from __future__ import annotations
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import pathlib
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import pathlib
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import matplotlib.pyplot as plt
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# import matplotlib.pyplot as plt
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from scipy.optimize import curve_fit
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from scipy.optimize import curve_fit
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import numpy as np
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import numpy as np
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@ -148,9 +148,9 @@ class FCReader:
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fit_path = fname_no_ext.joinpath('fit')
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fit_path = fname_no_ext.joinpath('fit')
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fit_path.mkdir(parents=True, exist_ok=True)
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fit_path.mkdir(parents=True, exist_ok=True)
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if save_fig:
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# if save_fig:
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image_path = fname_no_ext.joinpath('png')
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# image_path = fname_no_ext.joinpath('png')
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image_path.mkdir(parents=True, exist_ok=True)
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# image_path.mkdir(parents=True, exist_ok=True)
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header = 'm0\tt1\tbeta\toff\n'
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header = 'm0\tt1\tbeta\toff\n'
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@ -189,16 +189,16 @@ class FCReader:
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np.savetxt(fit_path.joinpath(save_name), np.c_[xplot, yplot],
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np.savetxt(fit_path.joinpath(save_name), np.c_[xplot, yplot],
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header=header+'\t'.join([f'{p}+/-{err}' for p, err in zip(p0, perr)]))
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header=header+'\t'.join([f'{p}+/-{err}' for p, err in zip(p0, perr)]))
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if save_fig:
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# if save_fig:
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fig, ax = plt.subplots()
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# fig, ax = plt.subplots()
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ax.set_xlabel('t / s')
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# ax.set_xlabel('t / s')
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ax.set_ylabel('M')
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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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# 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.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(v.x, v.y, 'o')
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ax.semilogx(xplot, yplot, '-')
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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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# fig.savefig(image_path.joinpath(save_name).with_suffix('.png'))
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plt.close(fig)
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# plt.close(fig)
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freqs = np.asanyarray(freqs)
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freqs = np.asanyarray(freqs)
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params = np.asanyarray(params)
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params = np.asanyarray(params)
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@ -282,53 +282,53 @@ class FCReader:
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fig_beta.savefig(path.joinpath(f'beta_{kind}.png'), bbox_inches="tight")
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fig_beta.savefig(path.joinpath(f'beta_{kind}.png'), bbox_inches="tight")
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fig_mag.savefig(path.joinpath(f'mag_{kind}.png'), bbox_inches="tight")
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fig_mag.savefig(path.joinpath(f'mag_{kind}.png'), bbox_inches="tight")
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fig_t1.savefig(path.joinpath(f't1_{kind}.png'), bbox_inches="tight")
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fig_t1.savefig(path.joinpath(f't1_{kind}.png'), bbox_inches="tight")
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plt.close(fig_mag)
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# plt.close(fig_mag)
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plt.close(fig_beta)
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# plt.close(fig_beta)
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plt.close(fig_t1)
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# plt.close(fig_t1)
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def plot_parameter(self, path, kind):
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def plot_parameter(self, path, kind):
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path = pathlib.Path(path)
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path = pathlib.Path(path)
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path.mkdir(parents=True, exist_ok=True)
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path.mkdir(parents=True, exist_ok=True)
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fig_mag, ax_mag = plt.subplots()
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# fig_mag, ax_mag = plt.subplots()
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fig_t1, ax_t1 = plt.subplots()
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# fig_t1, ax_t1 = plt.subplots()
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fig_beta, ax_beta = plt.subplots()
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# fig_beta, ax_beta = plt.subplots()
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#
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if kind == 'temp':
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# if kind == 'temp':
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_params = self.t_params
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# _params = self.t_params
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else:
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# else:
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_params = self.f_params
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# _params = self.f_params
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#
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save_path = path.joinpath(kind)
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# save_path = path.joinpath(kind)
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if not save_path.exists():
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# if not save_path.exists():
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save_path.mkdir(parents=True)
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# save_path.mkdir(parents=True)
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#
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for key, par in _params.items():
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# for key, par in _params.items():
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pl, = ax_mag.plot(par[:, 0], par[:, 1], 'o', label=key)
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# pl, = ax_mag.plot(par[:, 0], par[:, 1], 'o', label=key)
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ax_mag.plot(par[:, 0], par[:, 3], 's', color=pl.get_color())
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# ax_mag.plot(par[:, 0], par[:, 3], 's', color=pl.get_color())
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ax_t1.plot(par[:, 0], par[:, 5], 'o', label=key)
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# ax_t1.plot(par[:, 0], par[:, 5], 'o', label=key)
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ax_beta.plot(par[:, 0], par[:, 7], 'o', label=key)
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# ax_beta.plot(par[:, 0], par[:, 7], 'o', label=key)
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#
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for a in [ax_mag, ax_t1, ax_beta]:
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# for a in [ax_mag, ax_t1, ax_beta]:
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if kind == 'freq':
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# if kind == 'freq':
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a.legend(loc='upper left', bbox_to_anchor=(1, 1), ncol=2)
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# a.legend(loc='upper left', bbox_to_anchor=(1, 1), ncol=2)
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a.set_xlabel('T / K')
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# a.set_xlabel('T / K')
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else:
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# else:
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a.set_xscale('log')
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# a.set_xscale('log')
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a.legend(loc='upper left', bbox_to_anchor=(1, 1))
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# a.legend(loc='upper left', bbox_to_anchor=(1, 1))
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a.set_xlabel('f / Hz')
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# a.set_xlabel('f / Hz')
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#
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ax_t1.set_yscale('log')
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# ax_t1.set_yscale('log')
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ax_t1.set_ylabel('T1 / s')
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# ax_t1.set_ylabel('T1 / s')
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ax_beta.set_ylabel('beta')
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# ax_beta.set_ylabel('beta')
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ax_mag.set_ylabel('M0 (squares), Offset (circles)')
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# ax_mag.set_ylabel('M0 (squares), Offset (circles)')
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#
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fig_beta.savefig(path.joinpath(f'beta_{kind}.png'), bbox_inches="tight")
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# fig_beta.savefig(path.joinpath(f'beta_{kind}.png'), bbox_inches="tight")
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fig_mag.savefig(path.joinpath(f'mag_{kind}.png'), bbox_inches="tight")
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# fig_mag.savefig(path.joinpath(f'mag_{kind}.png'), bbox_inches="tight")
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fig_t1.savefig(path.joinpath(f't1_{kind}.png'), bbox_inches="tight")
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# fig_t1.savefig(path.joinpath(f't1_{kind}.png'), bbox_inches="tight")
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plt.close(fig_mag)
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# plt.close(fig_mag)
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plt.close(fig_beta)
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# plt.close(fig_beta)
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plt.close(fig_t1)
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# plt.close(fig_t1)
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def get_parameter(self, parameter='all', kind='freq', path=None, write=True, plot=True):
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def get_parameter(self, parameter='all', kind='freq', path=None, write=True, plot=True):
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param_list = []
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param_list = []
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@ -359,10 +359,10 @@ class FCReader:
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_params = self.f_params
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_params = self.f_params
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fmt = '011.2f'
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fmt = '011.2f'
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if plot:
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# if plot:
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fig_mag, ax_mag = plt.subplots()
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# fig_mag, ax_mag = plt.subplots()
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fig_t1, ax_t1 = plt.subplots()
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# fig_t1, ax_t1 = plt.subplots()
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fig_beta, ax_beta = plt.subplots()
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# fig_beta, ax_beta = plt.subplots()
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ret_val = []
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ret_val = []
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for key, par in _params.items():
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for key, par in _params.items():
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@ -374,15 +374,15 @@ class FCReader:
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if write:
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if write:
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self._write_parameter(key, par, path, kind, fmt)
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self._write_parameter(key, par, path, kind, fmt)
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if plot:
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# if plot:
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self._plot_parameter(key, par, fig_mag, fig_t1, fig_beta)
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# self._plot_parameter(key, par, fig_mag, fig_t1, fig_beta)
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for i, name in param_list:
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for i, name in param_list:
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ret_val.append(Points(x=par[:, 0], y=par[:, 2*i+1], y_err=par[:, 2*i+2],
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ret_val.append(Points(x=par[:, 0], y=par[:, 2*i+1], y_err=par[:, 2*i+2],
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name=f'{key} ({name})', value=value))
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name=f'{key} ({name})', value=value))
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if plot:
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# if plot:
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self._save_parameter_plot(path, kind, fig_mag, fig_t1, fig_beta)
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# self._save_parameter_plot(path, kind, fig_mag, fig_t1, fig_beta)
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return ret_val
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return ret_val
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