常见数值型类型特征

在一些数值型类型的，常使用的特征

###连续型的统计特征,如均值、方差等
##传入：去掉id和label的DataFrame
##传出：特征DataFrame

def  psfeatureTime(data):
    #data = pd.Series(data)
    # 均值
    df_mean = data.mean(axis=1)
    # 方差
    df_var = data.var(axis=1)
    # 标准差
    df_std = data.std(axis=1)
    # 均方根
    df_rms = pow((pow(df_mean, 2) + pow(df_std, 2)),0.5)
    # 偏度
    df_skew = data.skew(axis=1)
    # 峭度---这里好像是空值
    df_kurt = data.kurt(axis=1)
    
    df_median = data.median(axis=1)

    df_sum = data.sum(axis=1)
    
    column = ['df_mean', 'df_var', 'df_std', 'df_rms', 'df_skew', 'df_kurt','df_median', 'df_sum']
    featuretime_list = pd.concat([df_mean, df_var, df_std, df_rms, df_skew, df_kurt ,df_median, df_sum],axis=1)
    
    featuretime_list.columns = column
    
    return featuretime_list