pandas归一化与反归一化操作实现

import numpy as np
import pandas as pd
import matplotlib.pylab as plt
 
if __name__ == '__main__':
    """
    原数据
    """
    df = pd.DataFrame({'A': [10, 20, 30], 'B': [1, 2, 6]})
    # 图表
    plt.plot(df)
    plt.show()
 
    """
    归一化
    """
    # 最小值
    minimum = df.min()
    # 最大值
    maximum = df.max()
 
    df_zero_one = (df - minimum) / (maximum - minimum)
 
    # 图表
    plt.plot(df_zero_one)
    plt.show()
 
    """
    反归一化
    """
    df_un_zero_one = (maximum - minimum) * df_zero_one + minimum
 
    # 图表
    plt.plot(df_un_zero_one)
    plt.show()

import numpy as np
import pandas as pd
import matplotlib.pylab as plt
 
if __name__ == '__main__':
    """
    原数据
    """
    df = pd.DataFrame({'A': [10, 20, 30], 'B': [1, 2, 6]})
    # 图表
    subplot_1 = plt.subplot(2, 2, 1)
    subplot_1.plot(df)
 
    """
    归一化
    """
    # 最小值
    minimum = df.min()
    # 最大值
    maximum = df.max()
 
    df_zero_one = (df - minimum) / (maximum - minimum)
 
    # 图表
    subplot_2 = plt.subplot(2, 2, 2)
    subplot_2.plot(df_zero_one)
 
    """
    反归一化
    """
    df_un_zero_one = (maximum - minimum) * df_zero_one + minimum
 
    # 图表
    subplot_3 = plt.subplot(2, 2, 3)
    subplot_3.plot(df_un_zero_one)
 
    plt.show()