Go to the source code of this file.
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tuple | electrostatic_potential.parser = ArgumentParser() |
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tuple | electrostatic_potential.args = parser.parse_args() |
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string | electrostatic_potential.output_dir = "tmp" |
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string | electrostatic_potential.path_name = "/home/svenni/Dropbox/projects/programming/hartree-fock/build-hartree-fock-stan-Desktop_Qt_5_2_1_GCC_64bit-Release/app" |
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tuple | electrostatic_potential.atoms_data_file = h5py.File(join(path_name, "results.h5")) |
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tuple | electrostatic_potential.atom_meta = atoms_data_file.get("atomMeta") |
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tuple | electrostatic_potential.atoms = atoms_data_file.get("state") |
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string | electrostatic_potential.file_name = "electrostatic_potential.h5" |
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tuple | electrostatic_potential.density_file = h5py.File(join(path_name, file_name)) |
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tuple | electrostatic_potential.data = density_file.get("dataset") |
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tuple | electrostatic_potential.n_electrons = draw_atoms(atoms, atom_meta) |
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tuple | electrostatic_potential.data_max_min_diff = (data.max() - data.min()) |
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list | electrostatic_potential.levels = [0.0003, 0.008] |
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list | electrostatic_potential.contours = [] |
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tuple | electrostatic_potential.iso = mlab.contour3d(X, Y, Z, data, vmin=contours[0], vmax=contours[-1], opacity=0.5, contours=contours) |
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