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明天咱们来探讨 Pandas 中的 reset_index() 办法，包含为什么咱们须要在 Pandas 中重置 DataFrame 的索引，以及咱们应该如何利用该办法
在本文咱们将应用 Kaggle 上的数据集样本 Animal Shelter Analytics 来作为咱们的测试数据
Pandas 中的 Reset_Index() 是什么？
如果咱们应用 Pandas 的 read_csv() 办法读取 csv 文件而不指定任何索引，则生成的 DataFrame 将具备默认的基于整数的索引，第一行从 0 开始，随后每行减少 1：
import pandas as pd
import numpy as np
df = pd.read_csv('Austin_Animal_Center_Intakes.csv').head()
dfOutput:
Animal ID Name DateTime MonthYear Found Location Intake Type Intake Condition Animal Type Sex upon Intake Age upon Intake Breed Color
0 A786884 *Brock 01/03/2019 04:19:00 PM 01/03/2019 04:19:00 PM 2501 Magin Meadow Dr in Austin (TX) Stray Normal Dog Neutered Male 2 years Beagle Mix Tricolor
1 A706918 Belle 07/05/2015 12:59:00 PM 07/05/2015 12:59:00 PM 9409 Bluegrass Dr in Austin (TX) Stray Normal Dog Spayed Female 8 years English Springer Spaniel White/Liver
2 A724273 Runster 04/14/2016 06:43:00 PM 04/14/2016 06:43:00 PM 2818 Palomino Trail in Austin (TX) Stray Normal Dog Intact Male 11 months Basenji Mix Sable/White
3 A665644 NaN 10/21/2013 07:59:00 AM 10/21/2013 07:59:00 AM Austin (TX) Stray Sick Cat Intact Female 4 weeks Domestic Shorthair Mix Calico
4 A682524 Rio 06/29/2014 10:38:00 AM 06/29/2014 10:38:00 AM 800 Grove Blvd in Austin (TX) Stray Normal Dog Neutered Male 4 years Doberman Pinsch/Australian Cattle Dog Tan/Gray 在某些状况下，咱们可能心愿领有更有意义的行标签，因而咱们将抉择 DataFrame 的其中一列作为 DataFrame 索引。咱们能够应用 read_csv() 办法的 index_col 参数间接执行此操作：
df = pd.read_csv('Austin_Animal_Center_Intakes.csv', index_col='Animal ID').head()
dfOutput:
Animal ID Name DateTime MonthYear Found Location Intake Type Intake Condition Animal Type Sex upon Intake Age upon Intake Breed Color
A786884 *Brock 01/03/2019 04:19:00 PM 01/03/2019 04:19:00 PM 2501 Magin Meadow Dr in Austin (TX) Stray Normal Dog Neutered Male 2 years Beagle Mix Tricolor
A706918 Belle 07/05/2015 12:59:00 PM 07/05/2015 12:59:00 PM 9409 Bluegrass Dr in Austin (TX) Stray Normal Dog Spayed Female 8 years English Springer Spaniel White/Liver
A724273 Runster 04/14/2016 06:43:00 PM 04/14/2016 06:43:00 PM 2818 Palomino Trail in Austin (TX) Stray Normal Dog Intact Male 11 months Basenji Mix Sable/White
A665644 NaN 10/21/2013 07:59:00 AM 10/21/2013 07:59:00 AM Austin (TX) Stray Sick Cat Intact Female 4 weeks Domestic Shorthair Mix Calico
A682524 Rio 06/29/2014 10:38:00 AM 06/29/2014 10:38:00 AM 800 Grove Blvd in Austin (TX) Stray Normal Dog Neutered Male 4 years Doberman Pinsch/Australian Cattle Dog Tan/Gray或者咱们还能够应用 set_index() 办法将 DataFrame 的任何列设置为 DataFrame 索引：
df = pd.read_csv('Austin_Animal_Center_Intakes.csv').head()
df.set_index('Animal ID', inplace=True)
dfOutput:
Animal ID Name DateTime MonthYear Found Location Intake Type Intake Condition Animal Type Sex upon Intake Age upon Intake Breed Color
A786884 *Brock 01/03/2019 04:19:00 PM 01/03/2019 04:19:00 PM 2501 Magin Meadow Dr in Austin (TX) Stray Normal Dog Neutered Male 2 years Beagle Mix Tricolor
A706918 Belle 07/05/2015 12:59:00 PM 07/05/2015 12:59:00 PM 9409 Bluegrass Dr in Austin (TX) Stray Normal Dog Spayed Female 8 years English Springer Spaniel White/Liver
A724273 Runster 04/14/2016 06:43:00 PM 04/14/2016 06:43:00 PM 2818 Palomino Trail in Austin (TX) Stray Normal Dog Intact Male 11 months Basenji Mix Sable/White
A665644 NaN 10/21/2013 07:59:00 AM 10/21/2013 07:59:00 AM Austin (TX) Stray Sick Cat Intact Female 4 weeks Domestic Shorthair Mix Calico
A682524 Rio 06/29/2014 10:38:00 AM 06/29/2014 10:38:00 AM 800 Grove Blvd in Austin (TX) Stray Normal Dog Neutered Male 4 years Doberman Pinsch/Australian Cattle Dog Tan/Gray如果在某个时候咱们须要复原默认的数字索引呢，这时就能够应用 reset_index() 函数了
df.reset_index()Output:
Animal ID Name DateTime MonthYear Found Location Intake Type Intake Condition Animal Type Sex upon Intake Age upon Intake Breed Color
0 A786884 *Brock 01/03/2019 04:19:00 PM 01/03/2019 04:19:00 PM 2501 Magin Meadow Dr in Austin (TX) Stray Normal Dog Neutered Male 2 years Beagle Mix Tricolor
1 A706918 Belle 07/05/2015 12:59:00 PM 07/05/2015 12:59:00 PM 9409 Bluegrass Dr in Austin (TX) Stray Normal Dog Spayed Female 8 years English Springer Spaniel White/Liver
2 A724273 Runster 04/14/2016 06:43:00 PM 04/14/2016 06:43:00 PM 2818 Palomino Trail in Austin (TX) Stray Normal Dog Intact Male 11 months Basenji Mix Sable/White
3 A665644 NaN 10/21/2013 07:59:00 AM 10/21/2013 07:59:00 AM Austin (TX) Stray Sick Cat Intact Female 4 weeks Domestic Shorthair Mix Calico
4 A682524 Rio 06/29/2014 10:38:00 AM 06/29/2014 10:38:00 AM 800 Grove Blvd in Austin (TX) Stray Normal Dog Neutered Male 4 years Doberman Pinsch/Australian Cattle Dog Tan/Gray此办法的默认行为包含用默认的基于整数的索引替换现有的 DataFrame 索引，并将旧索引转换为与旧索引同名的新列（或名称索引）。此外，默认状况下，reset_index() 办法会从 MultiIndex 中删除所有级别并且不会影响原始 DataFrame 数据，而是创立一个新的
何时应用 Reset_Index() 办法
reset_index() 办法将 DataFrame 索引重置为默认数字索引，在以下状况下特地有用：
- 执行数据整顿时——尤其是过滤数据或删除缺失值等预处理操作，会导致较小的 DataFrame 具备不再间断的数字索引
- 当索引应该被视为一个常见的 DataFrame 列时
- 当索引标签没有提供无关数据的任何有价值的信息时
如何调整 Reset_Index() 办法
后面的探讨中，咱们看到了当咱们不向它传递任何参数时，reset_index() 办法是如何工作的，当然如果有须要，咱们能够通过调整办法的各种参数来更改此默认行为。让咱们看看最有用的三种参数：level、drop 和 inplace
level
此参数采纳整数、字符串、元组或列表作为可能的数据类型，并且仅实用于具备 MultiIndex 的 DataFrame，如下所示：
df_multiindex = pd.read_csv('Austin_Animal_Center_Intakes.csv', index_col=['Animal ID', 'Name']).head()
df_multiindexOutput:
Animal ID Name DateTime MonthYear Found Location Intake Type Intake Condition Animal Type Sex upon Intake Age upon Intake Breed Color
A786884 *Brock 01/03/2019 04:19:00 PM 01/03/2019 04:19:00 PM 2501 Magin Meadow Dr in Austin (TX) Stray Normal Dog Neutered Male 2 years Beagle Mix Tricolor
A706918 Belle 07/05/2015 12:59:00 PM 07/05/2015 12:59:00 PM 9409 Bluegrass Dr in Austin (TX) Stray Normal Dog Spayed Female 8 years English Springer Spaniel White/Liver
A724273 Runster 04/14/2016 06:43:00 PM 04/14/2016 06:43:00 PM 2818 Palomino Trail in Austin (TX) Stray Normal Dog Intact Male 11 months Basenji Mix Sable/White
A665644 NaN 10/21/2013 07:59:00 AM 10/21/2013 07:59:00 AM Austin (TX) Stray Sick Cat Intact Female 4 weeks Domestic Shorthair Mix Calico
A682524 Rio 06/29/2014 10:38:00 AM 06/29/2014 10:38:00 AM 800 Grove Blvd in Austin (TX) Stray Normal Dog Neutered Male 4 years Doberman Pinsch/Australian Cattle Dog Tan/Gray事实上，如果当初咱们查看下面 DataFrame 的索引，咱们会发现它不是一个常见的 DataFrame 索引，而是一个 MultiIndex 对象：
df_multiindex.indexOutput:
MultiIndex([('A786884', '*Brock'),
('A706918', 'Belle'),
('A724273', 'Runster'),
('A665644', nan),
('A682524', 'Rio')],
names=['Animal ID', 'Name'])默认状况下，reset_index() 办法参数 level (level=None) 会移除 MultiIndex 的所有级别：
df_multiindex.reset_index()Output:
Animal ID Name DateTime MonthYear Found Location Intake Type Intake Condition Animal Type Sex upon Intake Age upon Intake Breed Color
0 A786884 *Brock 01/03/2019 04:19:00 PM 01/03/2019 04:19:00 PM 2501 Magin Meadow Dr in Austin (TX) Stray Normal Dog Neutered Male 2 years Beagle Mix Tricolor
1 A706918 Belle 07/05/2015 12:59:00 PM 07/05/2015 12:59:00 PM 9409 Bluegrass Dr in Austin (TX) Stray Normal Dog Spayed Female 8 years English Springer Spaniel White/Liver
2 A724273 Runster 04/14/2016 06:43:00 PM 04/14/2016 06:43:00 PM 2818 Palomino Trail in Austin (TX) Stray Normal Dog Intact Male 11 months Basenji Mix Sable/White
3 A665644 NaN 10/21/2013 07:59:00 AM 10/21/2013 07:59:00 AM Austin (TX) Stray Sick Cat Intact Female 4 weeks Domestic Shorthair Mix Calico
4 A682524 Rio 06/29/2014 10:38:00 AM 06/29/2014 10:38:00 AM 800 Grove Blvd in Austin (TX) Stray Normal Dog Neutered Male 4 years Doberman Pinsch/Australian Cattle Dog Tan/Gray咱们看到 DataFrame 的两个索引都被转换为通用 DataFrame 列，而索引被重置为默认的基于整数的索引
相同，如果咱们显式传递 level 的值，则此参数会从 DataFrame 索引中删除选定的级别，并将它们作为常见的 DataFrame 列返回（除非咱们抉择应用 drop 参数从 DataFrame 中齐全删除此信息）。比拟以下操作：
df_multiindex.reset_index(level='Animal ID')Output:
Name Animal ID DateTime MonthYear Found Location Intake Type Intake Condition Animal Type Sex upon Intake Age upon Intake Breed Color
*Brock A786884 01/03/2019 04:19:00 PM 01/03/2019 04:19:00 PM 2501 Magin Meadow Dr in Austin (TX) Stray Normal Dog Neutered Male 2 years Beagle Mix Tricolor
Belle A706918 07/05/2015 12:59:00 PM 07/05/2015 12:59:00 PM 9409 Bluegrass Dr in Austin (TX) Stray Normal Dog Spayed Female 8 years English Springer Spaniel White/Liver
Runster A724273 04/14/2016 06:43:00 PM 04/14/2016 06:43:00 PM 2818 Palomino Trail in Austin (TX) Stray Normal Dog Intact Male 11 months Basenji Mix Sable/White
NaN A665644 10/21/2013 07:59:00 AM 10/21/2013 07:59:00 AM Austin (TX) Stray Sick Cat Intact Female 4 weeks Domestic Shorthair Mix Calico
Rio A682524 06/29/2014 10:38:00 AM 06/29/2014 10:38:00 AM 800 Grove Blvd in Austin (TX) Stray Normal Dog Neutered Male 4 years Doberman Pinsch/Australian Cattle Dog Tan/Gray最开始 Animal ID 是 DataFrame 的索引之一，当咱们设置 level 参数后，将其从索引中删除并作为称为 Animal ID 的公共列插入到 DataFrame 中
df_multiindex.reset_index(level='Name')Output:
Animal ID Name DateTime MonthYear Found Location Intake Type Intake Condition Animal Type Sex upon Intake Age upon Intake Breed Color
A786884 *Brock 01/03/2019 04:19:00 PM 01/03/2019 04:19:00 PM 2501 Magin Meadow Dr in Austin (TX) Stray Normal Dog Neutered Male 2 years Beagle Mix Tricolor
A706918 Belle 07/05/2015 12:59:00 PM 07/05/2015 12:59:00 PM 9409 Bluegrass Dr in Austin (TX) Stray Normal Dog Spayed Female 8 years English Springer Spaniel White/Liver
A724273 Runster 04/14/2016 06:43:00 PM 04/14/2016 06:43:00 PM 2818 Palomino Trail in Austin (TX) Stray Normal Dog Intact Male 11 months Basenji Mix Sable/White
A665644 NaN 10/21/2013 07:59:00 AM 10/21/2013 07:59:00 AM Austin (TX) Stray Sick Cat Intact Female 4 weeks Domestic Shorthair Mix Calico
A682524 Rio 06/29/2014 10:38:00 AM 06/29/2014 10:38:00 AM 800 Grove Blvd in Austin (TX) Stray Normal Dog Neutered Male 4 years Doberman Pinsch/Australian Cattle Dog Tan/Gray在这里，Name 最后是 DataFrame 的索引之一，设置完 level 参数后，就变成了一个罕用的列，叫做 Name
drop
此参数决定在索引重置后是否将旧索引保留为通用 DataFrame 列，或者将其从 DataFrame 中齐全删除。默认状况下 (drop=False) 是进行保留的，正如咱们在后面的所有示例中看到的那样。否则，如果咱们不想将旧索引保留为列，咱们能够在索引重置后将其从 DataFrame 中齐全删除（drop=True）：
dfOutput:
Animal ID Name DateTime MonthYear Found Location Intake Type Intake Condition Animal Type Sex upon Intake Age upon Intake Breed Color
A786884 *Brock 01/03/2019 04:19:00 PM 01/03/2019 04:19:00 PM 2501 Magin Meadow Dr in Austin (TX) Stray Normal Dog Neutered Male 2 years Beagle Mix Tricolor
A706918 Belle 07/05/2015 12:59:00 PM 07/05/2015 12:59:00 PM 9409 Bluegrass Dr in Austin (TX) Stray Normal Dog Spayed Female 8 years English Springer Spaniel White/Liver
A724273 Runster 04/14/2016 06:43:00 PM 04/14/2016 06:43:00 PM 2818 Palomino Trail in Austin (TX) Stray Normal Dog Intact Male 11 months Basenji Mix Sable/White
A665644 NaN 10/21/2013 07:59:00 AM 10/21/2013 07:59:00 AM Austin (TX) Stray Sick Cat Intact Female 4 weeks Domestic Shorthair Mix Calico
A682524 Rio 06/29/2014 10:38:00 AM 06/29/2014 10:38:00 AM 800 Grove Blvd in Austin (TX) Stray Normal Dog Neutered Male 4 years Doberman Pinsch/Australian Cattle Dog Tan/Gray减少 drop 参数
df.reset_index(drop=True)Output:
Name DateTime MonthYear Found Location Intake Type Intake Condition Animal Type Sex upon Intake Age upon Intake Breed Color
0 *Brock 01/03/2019 04:19:00 PM 01/03/2019 04:19:00 PM 2501 Magin Meadow Dr in Austin (TX) Stray Normal Dog Neutered Male 2 years Beagle Mix Tricolor
1 Belle 07/05/2015 12:59:00 PM 07/05/2015 12:59:00 PM 9409 Bluegrass Dr in Austin (TX) Stray Normal Dog Spayed Female 8 years English Springer Spaniel White/Liver
2 Runster 04/14/2016 06:43:00 PM 04/14/2016 06:43:00 PM 2818 Palomino Trail in Austin (TX) Stray Normal Dog Intact Male 11 months Basenji Mix Sable/White
3 NaN 10/21/2013 07:59:00 AM 10/21/2013 07:59:00 AM Austin (TX) Stray Sick Cat Intact Female 4 weeks Domestic Shorthair Mix Calico
4 Rio 06/29/2014 10:38:00 AM 06/29/2014 10:38:00 AM 800 Grove Blvd in Austin (TX) Stray Normal Dog Neutered Male 4 years Doberman Pinsch/Australian Cattle Dog Tan/Gray在下面的 DataFrame 中，旧索引中蕴含的信息已齐全从 DataFrame 中删除了
drop 参数也实用于具备 MultiIndex 的 DataFrame，就像咱们之前创立的那样：
df_multiindexOutput:
Animal ID Name DateTime MonthYear Found Location Intake Type Intake Condition Animal Type Sex upon Intake Age upon Intake Breed Color
A786884 *Brock 01/03/2019 04:19:00 PM 01/03/2019 04:19:00 PM 2501 Magin Meadow Dr in Austin (TX) Stray Normal Dog Neutered Male 2 years Beagle Mix Tricolor
A706918 Belle 07/05/2015 12:59:00 PM 07/05/2015 12:59:00 PM 9409 Bluegrass Dr in Austin (TX) Stray Normal Dog Spayed Female 8 years English Springer Spaniel White/Liver
A724273 Runster 04/14/2016 06:43:00 PM 04/14/2016 06:43:00 PM 2818 Palomino Trail in Austin (TX) Stray Normal Dog Intact Male 11 months Basenji Mix Sable/White
A665644 NaN 10/21/2013 07:59:00 AM 10/21/2013 07:59:00 AM Austin (TX) Stray Sick Cat Intact Female 4 weeks Domestic Shorthair Mix Calico
A682524 Rio 06/29/2014 10:38:00 AM 06/29/2014 10:38:00 AM 800 Grove Blvd in Austin (TX) Stray Normal Dog Neutered Male 4 years Doberman Pinsch/Australian Cattle Dog Tan/Gray减少 drop 参数
df_multiindex.reset_index(drop=True)Output:
DateTime MonthYear Found Location Intake Type Intake Condition Animal Type Sex upon Intake Age upon Intake Breed Color
0 01/03/2019 04:19:00 PM 01/03/2019 04:19:00 PM 2501 Magin Meadow Dr in Austin (TX) Stray Normal Dog Neutered Male 2 years Beagle Mix Tricolor
1 07/05/2015 12:59:00 PM 07/05/2015 12:59:00 PM 9409 Bluegrass Dr in Austin (TX) Stray Normal Dog Spayed Female 8 years English Springer Spaniel White/Liver
2 04/14/2016 06:43:00 PM 04/14/2016 06:43:00 PM 2818 Palomino Trail in Austin (TX) Stray Normal Dog Intact Male 11 months Basenji Mix Sable/White
3 10/21/2013 07:59:00 AM 10/21/2013 07:59:00 AM Austin (TX) Stray Sick Cat Intact Female 4 weeks Domestic Shorthair Mix Calico
4 06/29/2014 10:38:00 AM 06/29/2014 10:38:00 AM 800 Grove Blvd in Austin (TX) Stray Normal Dog Neutered Male 4 years Doberman Pinsch/Australian Cattle Dog Tan/Gray两个旧索引都已从 Dataframe 中齐全删除，并且索引已重置为默认值
当然，咱们能够联合 drop 和 level 参数，指定要从 DataFrame 中齐全删除哪些旧索引：
df_multiindex.reset_index(level='Animal ID', drop=True)Output:
DateTime MonthYear Found Location Intake Type Intake Condition Animal Type Sex upon Intake Age upon Intake Breed Color
Name
*Brock 01/03/2019 04:19:00 PM 01/03/2019 04:19:00 PM 2501 Magin Meadow Dr in Austin (TX) Stray Normal Dog Neutered Male 2 years Beagle Mix Tricolor
Belle 07/05/2015 12:59:00 PM 07/05/2015 12:59:00 PM 9409 Bluegrass Dr in Austin (TX) Stray Normal Dog Spayed Female 8 years English Springer Spaniel White/Liver
Runster 04/14/2016 06:43:00 PM 04/14/2016 06:43:00 PM 2818 Palomino Trail in Austin (TX) Stray Normal Dog Intact Male 11 months Basenji Mix Sable/White
NaN 10/21/2013 07:59:00 AM 10/21/2013 07:59:00 AM Austin (TX) Stray Sick Cat Intact Female 4 weeks Domestic Shorthair Mix Calico
Rio 06/29/2014 10:38:00 AM 06/29/2014 10:38:00 AM 800 Grove Blvd in Austin (TX) Stray Normal Dog Neutered Male 4 years Doberman Pinsch/Australian Cattle Dog Tan/Gray旧索引 Animal ID 已从索引和 DataFrame 自身中删除，另一个索引 Name 被保留为 DataFrame 的以后索引
inplace
该参数决定是间接批改原来的 DataFrame 还是新建一个 DataFrame 对象。默认状况下，它会应用新索引 (inplace=False) 创立一个新的 DataFrame，并放弃原始 DataFrame 不变。让咱们应用默认参数再次运行 reset_index() 办法，而后将后果与原始 DataFrame 进行比拟：
df.reset_index()Output:
Animal ID Name DateTime MonthYear Found Location Intake Type Intake Condition Animal Type Sex upon Intake Age upon Intake Breed Color
0 A786884 *Brock 01/03/2019 04:19:00 PM 01/03/2019 04:19:00 PM 2501 Magin Meadow Dr in Austin (TX) Stray Normal Dog Neutered Male 2 years Beagle Mix Tricolor
1 A706918 Belle 07/05/2015 12:59:00 PM 07/05/2015 12:59:00 PM 9409 Bluegrass Dr in Austin (TX) Stray Normal Dog Spayed Female 8 years English Springer Spaniel White/Liver
2 A724273 Runster 04/14/2016 06:43:00 PM 04/14/2016 06:43:00 PM 2818 Palomino Trail in Austin (TX) Stray Normal Dog Intact Male 11 months Basenji Mix Sable/White
3 A665644 NaN 10/21/2013 07:59:00 AM 10/21/2013 07:59:00 AM Austin (TX) Stray Sick Cat Intact Female 4 weeks Domestic Shorthair Mix Calico
4 A682524 Rio 06/29/2014 10:38:00 AM 06/29/2014 10:38:00 AM 800 Grove Blvd in Austin (TX) Stray Normal Dog Neutered Male 4 years Doberman Pinsch/Australian Cattle Dog Tan/GraydfOutput:
Animal ID Name DateTime MonthYear Found Location Intake Type Intake Condition Animal Type Sex upon Intake Age upon Intake Breed Color
A786884 *Brock 01/03/2019 04:19:00 PM 01/03/2019 04:19:00 PM 2501 Magin Meadow Dr in Austin (TX) Stray Normal Dog Neutered Male 2 years Beagle Mix Tricolor
A706918 Belle 07/05/2015 12:59:00 PM 07/05/2015 12:59:00 PM 9409 Bluegrass Dr in Austin (TX) Stray Normal Dog Spayed Female 8 years English Springer Spaniel White/Liver
A724273 Runster 04/14/2016 06:43:00 PM 04/14/2016 06:43:00 PM 2818 Palomino Trail in Austin (TX) Stray Normal Dog Intact Male 11 months Basenji Mix Sable/White
A665644 NaN 10/21/2013 07:59:00 AM 10/21/2013 07:59:00 AM Austin (TX) Stray Sick Cat Intact Female 4 weeks Domestic Shorthair Mix Calico
A682524 Rio 06/29/2014 10:38:00 AM 06/29/2014 10:38:00 AM 800 Grove Blvd in Austin (TX) Stray Normal Dog Neutered Male 4 years Doberman Pinsch/Australian Cattle Dog Tan/Gray即便咱们将索引重置为运行第一段代码的默认数字，原始 DataFrame 依然放弃不变。如果咱们须要将原始 DataFrame 重新分配给对其利用 reset_index() 办法的后果，咱们能够间接重新分配它（df = df.reset_index()）或将参数 inplace=True 传递给该办法：
df.reset_index(inplace=True)
dfOutput:
Animal ID Name DateTime MonthYear Found Location Intake Type Intake Condition Animal Type Sex upon Intake Age upon Intake Breed Color
0 A786884 *Brock 01/03/2019 04:19:00 PM 01/03/2019 04:19:00 PM 2501 Magin Meadow Dr in Austin (TX) Stray Normal Dog Neutered Male 2 years Beagle Mix Tricolor
1 A706918 Belle 07/05/2015 12:59:00 PM 07/05/2015 12:59:00 PM 9409 Bluegrass Dr in Austin (TX) Stray Normal Dog Spayed Female 8 years English Springer Spaniel White/Liver
2 A724273 Runster 04/14/2016 06:43:00 PM 04/14/2016 06:43:00 PM 2818 Palomino Trail in Austin (TX) Stray Normal Dog Intact Male 11 months Basenji Mix Sable/White
3 A665644 NaN 10/21/2013 07:59:00 AM 10/21/2013 07:59:00 AM Austin (TX) Stray Sick Cat Intact Female 4 weeks Domestic Shorthair Mix Calico
4 A682524 Rio 06/29/2014 10:38:00 AM 06/29/2014 10:38:00 AM 800 Grove Blvd in Austin (TX) Stray Normal Dog Neutered Male 4 years Doberman Pinsch/Australian Cattle Dog Tan/Gray咱们看到当初更改已间接利用于原始 DataFrame 之上了
利用实例：删除缺失值后重置索引
让咱们将到目前为止探讨的所有内容付诸实践，看看当咱们从 DataFrame 中删除缺失值时，重置 DataFrame 索引是如何有用的
首先，让咱们复原咱们最开始时创立的第一个 DataFrame，它具备默认数字索引：
df = pd.read_csv('Austin_Animal_Center_Intakes.csv').head()
dfOutput:
Animal ID Name DateTime MonthYear Found Location Intake Type Intake Condition Animal Type Sex upon Intake Age upon Intake Breed Color
0 A786884 *Brock 01/03/2019 04:19:00 PM 01/03/2019 04:19:00 PM 2501 Magin Meadow Dr in Austin (TX) Stray Normal Dog Neutered Male 2 years Beagle Mix Tricolor
1 A706918 Belle 07/05/2015 12:59:00 PM 07/05/2015 12:59:00 PM 9409 Bluegrass Dr in Austin (TX) Stray Normal Dog Spayed Female 8 years English Springer Spaniel White/Liver
2 A724273 Runster 04/14/2016 06:43:00 PM 04/14/2016 06:43:00 PM 2818 Palomino Trail in Austin (TX) Stray Normal Dog Intact Male 11 months Basenji Mix Sable/White
3 A665644 NaN 10/21/2013 07:59:00 AM 10/21/2013 07:59:00 AM Austin (TX) Stray Sick Cat Intact Female 4 weeks Domestic Shorthair Mix Calico
4 A682524 Rio 06/29/2014 10:38:00 AM 06/29/2014 10:38:00 AM 800 Grove Blvd in Austin (TX) Stray Normal Dog Neutered Male 4 years Doberman Pinsch/Australian Cattle Dog Tan/Gray咱们看到 DataFrame 中有一个缺失值，让咱们应用 dropna() 办法删除具备缺失值的整行
df.dropna(inplace=True)
dfOutput:
Animal ID Name DateTime MonthYear Found Location Intake Type Intake Condition Animal Type Sex upon Intake Age upon Intake Breed Color
0 A786884 *Brock 01/03/2019 04:19:00 PM 01/03/2019 04:19:00 PM 2501 Magin Meadow Dr in Austin (TX) Stray Normal Dog Neutered Male 2 years Beagle Mix Tricolor
1 A706918 Belle 07/05/2015 12:59:00 PM 07/05/2015 12:59:00 PM 9409 Bluegrass Dr in Austin (TX) Stray Normal Dog Spayed Female 8 years English Springer Spaniel White/Liver
2 A724273 Runster 04/14/2016 06:43:00 PM 04/14/2016 06:43:00 PM 2818 Palomino Trail in Austin (TX) Stray Normal Dog Intact Male 11 months Basenji Mix Sable/White
4 A682524 Rio 06/29/2014 10:38:00 AM 06/29/2014 10:38:00 AM 800 Grove Blvd in Austin (TX) Stray Normal Dog Neutered Male 4 years Doberman Pinsch/Australian Cattle Dog Tan/Gray该行已从 DataFrame 中删除，然而索引不再是间断的：0、1、2、4。让咱们从新设置它：
df.reset_index()Output:
index Animal ID Name DateTime MonthYear Found Location Intake Type Intake Condition Animal Type Sex upon Intake Age upon Intake Breed Color
0 0 A786884 *Brock 01/03/2019 04:19:00 PM 01/03/2019 04:19:00 PM 2501 Magin Meadow Dr in Austin (TX) Stray Normal Dog Neutered Male 2 years Beagle Mix Tricolor
1 1 A706918 Belle 07/05/2015 12:59:00 PM 07/05/2015 12:59:00 PM 9409 Bluegrass Dr in Austin (TX) Stray Normal Dog Spayed Female 8 years English Springer Spaniel White/Liver
2 2 A724273 Runster 04/14/2016 06:43:00 PM 04/14/2016 06:43:00 PM 2818 Palomino Trail in Austin (TX) Stray Normal Dog Intact Male 11 months Basenji Mix Sable/White
3 4 A682524 Rio 06/29/2014 10:38:00 AM 06/29/2014 10:38:00 AM 800 Grove Blvd in Austin (TX) Stray Normal Dog Neutered Male 4 years Doberman Pinsch/Australian Cattle Dog Tan/Gray当初索引是间断的了，然而因为咱们没有显式传递 drop 参数，旧索引被转换为列，具备默认名称 index，上面让咱们从 DataFrame 中齐全删除旧索引：
df.reset_index(drop=True)Output:
Animal ID Name DateTime MonthYear Found Location Intake Type Intake Condition Animal Type Sex upon Intake Age upon Intake Breed Color
0 A786884 *Brock 01/03/2019 04:19:00 PM 01/03/2019 04:19:00 PM 2501 Magin Meadow Dr in Austin (TX) Stray Normal Dog Neutered Male 2 years Beagle Mix Tricolor
1 A706918 Belle 07/05/2015 12:59:00 PM 07/05/2015 12:59:00 PM 9409 Bluegrass Dr in Austin (TX) Stray Normal Dog Spayed Female 8 years English Springer Spaniel White/Liver
2 A724273 Runster 04/14/2016 06:43:00 PM 04/14/2016 06:43:00 PM 2818 Palomino Trail in Austin (TX) Stray Normal Dog Intact Male 11 months Basenji Mix Sable/White
3 A682524 Rio 06/29/2014 10:38:00 AM 06/29/2014 10:38:00 AM 800 Grove Blvd in Austin (TX) Stray Normal Dog Neutered Male 4 years Doberman Pinsch/Australian Cattle Dog Tan/Gray当初咱们彻底解脱了无意义的旧索引，以后索引是间断的。最初一步是应用 inplace 参数将这些批改保留到咱们的原始 DataFrame 中：
df.reset_index(drop=True, inplace=True)
dfOutput:
Animal ID Name DateTime MonthYear Found Location Intake Type Intake Condition Animal Type Sex upon Intake Age upon Intake Breed Color
0 A786884 *Brock 01/03/2019 04:19:00 PM 01/03/2019 04:19:00 PM 2501 Magin Meadow Dr in Austin (TX) Stray Normal Dog Neutered Male 2 years Beagle Mix Tricolor
1 A706918 Belle 07/05/2015 12:59:00 PM 07/05/2015 12:59:00 PM 9409 Bluegrass Dr in Austin (TX) Stray Normal Dog Spayed Female 8 years English Springer Spaniel White/Liver
2 A724273 Runster 04/14/2016 06:43:00 PM 04/14/2016 06:43:00 PM 2818 Palomino Trail in Austin (TX) Stray Normal Dog Intact Male 11 months Basenji Mix Sable/White
3 A682524 Rio 06/29/2014 10:38:00 AM 06/29/2014 10:38:00 AM 800 Grove Blvd in Austin (TX) Stray Normal Dog Neutered Male 4 years Doberman Pinsch/Australian Cattle Dog Tan/Gray总结
明天咱们从多个方面探讨了 reset_index() 办法
- reset_index() 办法的默认行为
- 如何复原 DataFrame 的默认数字索引
- 何时应用 reset_index() 办法
- 该办法最重要的几个参数
- 如何应用 MultiIndex
- 如何从 DataFrame 中齐全删除旧索引
- 如何将批改间接保留到原始 DataFrame 中
最好咱们又残缺的实现了一个在删除缺失值后重置 DataFrame 索引的实战案例
好了，这就是明天分享的全部内容，喜爱就点个赞吧
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