from featurebox.selection.quickmethod import dict_method_reg
from featurebox.tools.exports import Store
from featurebox.tools.imports import Call
from featurebox.tools.show import BasePlot
from featurebox.tools.tool import name_to_name
warnings.filterwarnings("ignore")
"""
this is a description
"""
if __name__ == "__main__":
store = Store(
r'C:\Users\Administrator\Desktop\band_gap_exp\3.sum\method', )
data = Call(r'C:\Users\Administrator\Desktop\band_gap_exp')
data_import = data.csv().all_import
name_init, abbr_init = data.pickle_pd().name_and_abbr
select = [
'cell volume', 'electron density', 'lattice constants a',
'lattice constants c', 'radii covalent', 'radii ionic(shannon)',
'distance core electron(schubert)', 'latent heat of fusion',
'energy cohesive brewer', 'total energy',
'charge nuclear effective(slater)', 'valence electron number',
'electronegativity(martynov&batsanov)', 'volume atomic(villars,daams)'
]
select = [
'cell volume',
'electron density',
] + [j + "_%i" % i for j in select[2:] for i in range(2)]
data225_import = data_import.iloc[np.where(
from featurebox.tools.exports import Store
from featurebox.tools.imports import Call
from featurebox.tools.tool import name_to_name
warnings.filterwarnings("ignore")
"""
this is a description
"""
if __name__ == "__main__":
store = Store(r'C:\Users\Administrator\Desktop\band_gap_exp\3.sum\sub')
data = Call(
r'C:\Users\Administrator\Desktop\band_gap_exp',
r'C:\Users\Administrator\Desktop\band_gap_exp\3.sum\method',
)
data_import = data.csv().all_import
name_init, abbr_init = data.pickle_pd().name_and_abbr
select = [
'cell volume', 'electron density', 'lattice constants a',
'lattice constants c', 'radii covalent', 'radii ionic(shannon)',
'distance core electron(schubert)', 'latent heat of fusion',
'energy cohesive brewer', 'total energy',
'charge nuclear effective(slater)', 'valence electron number',
'electronegativity(martynov&batsanov)', 'volume atomic(villars,daams)'
]
select = ['cell volume', 'electron density'
] + [j + "_%i" % i for j in select[2:] for i in range(2)]
data225_import = data_import.iloc[np.where(
data_import['group_number'] == 225)[0]]
