如何按类别读取数据以分隔varibales

Question

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from scipy import stats
dataFileName='RFInput.xlsx'
sheetName='Rawdata'
sheetNamePara='paraList'
dataRaw=pd.read_excel(dataFileName, sheetname = sheetName)
datapara=pd.read_excel(dataFileName, sheetname = sheetNamePara)

noData=len(dataRaw)
import matplotlib.pylab as plt
from sklearn.cross_validation import train_test_split
from sklearn.cross_validation import cross_val_score
from sklearn.preprocessing import StandardScaler


labels = datapara
x = dataRaw[labels]
y = dataRaw['classVariable']

在RFInput.xlsx中，sheetname =“paraList”，我有一些参数列表，我需要从Rawdata中提取数据。在paraList中，第一行是变量的名称，在第二行中，我将每个变量的类别标记为Y或N.我想将Y类变量数据读入x_Y，将N类变量数据读入x_N。 / p>

classVariable   Category    Group Category.pare Status.dist
N                 N                Y               N