dataframe数据归一化python

要对DataFrame数据进行归一化，可以使用Python中的sklearn库中的preprocessing模块中的MinMaxScaler()方法。以下是实现数据归一化的示例代码：

import pandas as pd
from sklearn import preprocessing

def min_max_sca(data_x01, data_type):
    if data_type == 'df':
        data_x01 = data_x01.values.tolist()
    
    data_x01 = pd.DataFrame(data_x01)
    min_max_scaler = preprocessing.MinMaxScaler()
    data_x01_Sca = min_max_scaler.fit_transform(data_x01)
    data_x01_Sca = data_x01_Sca.reshape(1, -1)[0]
    
    if data_type == 'df':
        data_x01_Sca = pd.DataFrame(data_x01_Sca).iloc[:,0]
    
    return data_x01_Sca

lists = [10, 20, 30, 40, 50]
dataCol_i = min_max_sca(lists, 'list')
print(dataCol_i)

dataCol_i = pd.DataFrame(lists)
print(type(dataCol_i), dataCol_i)

dataCol_i = min_max_sca(dataCol_i, 'df')
print(type(dataCol_i), dataCol_i)

这段代码会将DataFrame类型的数据进行归一化，输出结果为归一化后的DataFrame数据。 <span class="em">1</span><span class="em">2</span><span class="em">3</span>
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