Python create_args 예제들

예제 #1

파일: args_v6_original_ajustado.py 프로젝트: curtarelli/qaa_kdpy_final

##  Importando pacotes básicos para calculos estatísticos.
from sklearn.metrics import mean_absolute_error as mae
from sklearn.metrics import mean_squared_error as mse

##  Importando pacotes do modelo QAA/Kd utilizados no código.
from qaapy_kdpy.definition import create_args
from qaapy_kdpy.file import read_files, load_data
from qaapy_kdpy.QAA_models.Espectral.Qaa_v6_model import Qaa_v6_model_RUN_original
from qaapy_kdpy.empirical_calc import *
from qaapy_kdpy.utils.plot_Kd_campo_vs_qaa import plot_ajuste, plot_kd_nxm
from qaapy_kdpy.utils.stats import *

###############################################################################
############################  Argumentos - V6 S2A  ############################
###############################################################################
args13 = create_args()

args13.acs = {
    'file_name': r'.\00_Dados\Dados_Renato\ACS\aACS_TRM2013.xlsx',
    'sheet_name': 'Sheet1'
}

args13.Rrs = {
    'file_name': r'.\00_Dados\Dados_Renato\Rrs\Rrs_TRM2013_PAR.xlsx',
    'sheet_name': 'Sheet1'
}

args13.aw = {
    'file_name': r'.\00_Dados\Dados_Renato\aw_pope97_PAR.xlsx',
    'sheet_name': 'Sheet1'
}

예제 #2

##  Importando pacotes básicos para calculos estatísticos.
from sklearn.metrics import mean_absolute_error as mae
from sklearn.metrics import mean_squared_error as mse

##  Importando pacotes do modelo QAA/Kd utilizados no código.
from qaapy_kdpy.definition import create_args
from qaapy_kdpy.file import read_files, load_data
from qaapy_kdpy.QAA_models.Espectral.Qaa_v6_model import Qaa_v6_model_RUN
from qaapy_kdpy.empirical_calc import *
from qaapy_kdpy.utils.plot_Kd_campo_vs_qaa import plot_ajuste
from qaapy_kdpy.utils.stats import *

###############################################################################
############################  Argumentos - V6 S2A  ############################
###############################################################################
args = create_args()

args.acs = {
    'file_name': r'.\00_Dados\Dados_Renato\ACS\aACS_TRM2013.xlsx',
    'sheet_name': 'Sheet1'
}

args.Rrs = {
    'file_name': r'.\00_Dados\Dados_Renato\Rrs\Rrs_TRM2013_PAR.xlsx',
    'sheet_name': 'Sheet1'
}

args.aw = {
    'file_name': r'.\00_Dados\Dados_Renato\aw_pope97_PAR.xlsx',
    'sheet_name': 'Sheet1'
}

예제 #3

##  Importando pacotes básicos para calculos estatísticos.
from sklearn.metrics import mean_absolute_error as mae
from sklearn.metrics import mean_squared_error as mse

##  Importando pacotes do modelo QAA/Kd utilizados no código.
from qaapy_kdpy.definition import create_args
from qaapy_kdpy.file import read_files, load_data
from qaapy_kdpy.QAA_models.Espectral.Qaa_v6_model import Qaa_v6_model_RUN_original
from qaapy_kdpy.empirical_calc import *
from qaapy_kdpy.utils.plot_Kd_campo_vs_qaa import plot_ajuste, plot_kd_nxm
from qaapy_kdpy.utils.stats import *

###############################################################################
############################  Argumentos - V6 S2A  ############################
###############################################################################
args19 = create_args()

args19.acs = {
            'file_name': r'.\00_Dados\Dados_Victor\ACS\aTot_Sus_TRM_PAR.xlsx', 
            'sheet_name': 'Sheet1'
            }

args19.Rrs = {
            'file_name': r'.\00_Dados\Dados_Victor\Rrs\Rrs_TRM_PAR.xlsx', 
            'sheet_name': 'Sheet1'
            }

args19.aw = {
                'file_name': r'.\00_Dados\Dados_Victor\aw_pope97_PAR.xlsx', 
                'sheet_name': 'Sheet1'
            }