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Merge pull request #33 from ergodicio/epw_iaw_simul
Epw iaw simul
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,46 @@ | ||
| import numpy as np | ||
| import matplotlib.pyplot as plt | ||
| import tempfile, mlflow, os | ||
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| def launch_data_visualizer(elecData, ionData, all_axes, config): | ||
| with tempfile.TemporaryDirectory() as td: | ||
| #until this can be made interactive this plots all the data regions | ||
| if config["other"]["extraoptions"]["load_ion_spec"]: | ||
| X, Y = np.meshgrid(all_axes["iaw_x"], all_axes["iaw_y"]) | ||
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| fig, ax = plt.subplots() | ||
| ax.pcolormesh(X, Y, ionData, | ||
| cmap="gist_ncar", | ||
| vmin=np.amin(ionData), | ||
| vmax=np.amax(ionData),) | ||
| sline, = ax.plot([all_axes["iaw_x"][config["data"]["lineouts"]["start"]], all_axes["iaw_x"][config["data"]["lineouts"]["start"]]], [all_axes["iaw_y"][0], all_axes["iaw_y"][-1]], lw=2, color = 'w') | ||
| eline, = ax.plot([all_axes["iaw_x"][config["data"]["lineouts"]["end"]], all_axes["iaw_x"][config["data"]["lineouts"]["end"]]], [all_axes["iaw_y"][0], all_axes["iaw_y"][-1]], lw=2, color = 'w') | ||
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| lamsline, = ax.plot([all_axes["iaw_x"][0], all_axes["iaw_x"][-1]], [config["data"]["fit_rng"]["iaw_min"], config["data"]["fit_rng"]["iaw_min"]], lw=2, color = 'w', linestyle = '--') | ||
| lameline, = ax.plot([all_axes["iaw_x"][0], all_axes["iaw_x"][-1]], [config["data"]["fit_rng"]["iaw_max"], config["data"]["fit_rng"]["iaw_max"]], lw=2, color = 'w', linestyle = '--') | ||
| ax.set_xlabel(all_axes["x_label"]) | ||
| ax.set_ylabel("Wavelength") | ||
| fig.savefig(os.path.join(td, "ion_fit_ranges.png"), bbox_inches="tight") | ||
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| if config["other"]["extraoptions"]["load_ele_spec"]: | ||
| X, Y = np.meshgrid(all_axes["epw_x"], all_axes["epw_y"]) | ||
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| fig, ax = plt.subplots() | ||
| ax.pcolormesh(X, Y, elecData, | ||
| cmap="gist_ncar", | ||
| vmin=np.amin(elecData), | ||
| vmax=np.amax(elecData),) | ||
| sline, = ax.plot([all_axes["epw_x"][config["data"]["lineouts"]["start"]], all_axes["epw_x"][config["data"]["lineouts"]["start"]]], [all_axes["epw_y"][0], all_axes["epw_y"][-1]], lw=2, color = 'w') | ||
| eline, = ax.plot([all_axes["epw_x"][config["data"]["lineouts"]["end"]], all_axes["epw_x"][config["data"]["lineouts"]["end"]]], [all_axes["epw_y"][0], all_axes["epw_y"][-1]], lw=2, color = 'w') | ||
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| lamsline, = ax.plot([all_axes["epw_x"][0], all_axes["epw_x"][-1]], [config["data"]["fit_rng"]["blue_min"], config["data"]["fit_rng"]["blue_min"]], lw=2, color = 'w', linestyle = '--') | ||
| lameline, = ax.plot([all_axes["epw_x"][0], all_axes["epw_x"][-1]], [config["data"]["fit_rng"]["blue_max"], config["data"]["fit_rng"]["blue_max"]], lw=2, color = 'w', linestyle = '--') | ||
| lamsline, = ax.plot([all_axes["epw_x"][0], all_axes["epw_x"][-1]], [config["data"]["fit_rng"]["red_min"], config["data"]["fit_rng"]["red_min"]], lw=2, color = 'w', linestyle = '--') | ||
| lameline, = ax.plot([all_axes["epw_x"][0], all_axes["epw_x"][-1]], [config["data"]["fit_rng"]["red_max"], config["data"]["fit_rng"]["red_max"]], lw=2, color = 'w', linestyle = '--') | ||
| ax.set_xlabel(all_axes["x_label"]) | ||
| ax.set_ylabel("Wavelength") | ||
| fig.savefig(os.path.join(td, "electron_fit_ranges.png"), bbox_inches="tight") | ||
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| mlflow.log_artifacts(td) |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,37 @@ | ||
| import matplotlib.pyplot as plt | ||
| import numpy as np | ||
| import os | ||
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| def lineout_plot(sorted_data, sorted_fits, sorted_sqdev, yaxis, s_ind, e_ind, titlestr, filename, td, tag): | ||
| if len(sorted_data) == 2: | ||
| num_col = 2 | ||
| else: | ||
| num_col = 1 | ||
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| fig, ax = plt.subplots(2, num_col, figsize=(12, 8), squeeze=False, tight_layout=True, sharex=False) | ||
| for col in range(num_col): | ||
| ax[0][col].plot( | ||
| yaxis[col][s_ind[col] : e_ind[col]], | ||
| np.squeeze(sorted_data[col][s_ind[col] : e_ind[col]]), | ||
| label="Data") | ||
| ax[0][col].plot( | ||
| yaxis[col][s_ind[col] : e_ind[col]], | ||
| np.squeeze(sorted_fits[col][s_ind[col] : e_ind[col]]), | ||
| label="Fit") | ||
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| ax[0][col].set_title(titlestr, fontsize=14) | ||
| ax[0][col].set_ylabel("Amp (arb. units)") | ||
| ax[0][col].legend(fontsize=14) | ||
| ax[0][col].grid() | ||
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| ax[1][col].plot( | ||
| yaxis[col][s_ind[col] : e_ind[col]], | ||
| np.squeeze(sorted_sqdev[col][s_ind[col] : e_ind[col]]), | ||
| label="Residual", | ||
| ) | ||
| ax[1][col].set_xlabel("Wavelength (nm)") | ||
| ax[1][col].set_ylabel("$\chi_i^2$") | ||
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| fig.savefig(os.path.join(td, tag, filename), bbox_inches="tight") | ||
| plt.close(fig) |
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