Pygame Timeコントロールの具体的な使用方法について説明します。

from sklearn.feature_selection import VarianceThreshold
from sklearn.decomposition import PCA
import pandas as pd
def filter_Variance():
    '''
    Remove data with low variance
        Specify the threshold variance
        Call fit_transform
    :return:
    '''
    var = VarianceThreshold(threshold=1.0)

    data = var.fit_transform([[0,2,0,3],[0,1,4,3],[0,1,1,3]])

    print(data)
    '''
    Default threshold=0.0
    [[2 0]]
     [1 4]
     [1 1]]
     
     Take the variance of 1.0
     [[0]]
      [4]
      [1] ]
    '''
    return None

def pca():
    '''
    Principal component analysis, dimensionality reduction of data features
        Specify the reduced dimensionality
        Call fit_transform
    :return:
    '''
    pca = PCA(n_components = 0.9)
    data = pca.fit_transform([[2,8,4,5],[6,3,0,8],[5,4,9,1]])
    print(data)
    '''
    [[ 1.28620952e-15 3.82970843e+00]
     [ 5.74456265e+00 -1.91485422e+00]
     [ -5.74456265e+00 -1.91485422e+00]]
    '''
    return None