|NO.Z.00047|——————————|BigDataEnd|——|Hadoop&Python.v11|——|Arithmetic.v11|Pandas数据分析库：Pandas数据排序|

一、数据排序

### --- 数据排序

import numpy as np
import pandas as pd
df = pd.DataFrame(data = np.random.randint(0,30,size = (30,3)),
                  index = list('qwertyuioijhgfcasdcvbnerfghjcf'),
                  columns = ['Python','Keras','Pytorch'])
# 1、索引列名排序
df.sort_index(axis = 0,ascending=True)                              # 按索引排序，降序
df.sort_index(axis = 1,ascending=False)                             # 按列名排序，升序
# 2、属性值排序
df.sort_values(by = ['Python'])                                     # 按Python属性值排序
df.sort_values(by = ['Python','Keras'])                             # 先按Python，再按Keras排序
# 3、返回属性n?或者n?的值
df.nlargest(10,columns='Keras')                                     # 根据属性Keras排序,返回最?10个数据
df.nsmallest(5,columns='Python')                                    # 根据属性Python排序，返回最?5个数据

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Walter Savage Landor:strove with none,for none was worth my strife.Nature I loved and, next to Nature, Art:I warm'd both hands before the fire of life.It sinks, and I am ready to depart                                                                                                                                                    ——W.S.Landor

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