python技巧 - 筛选 Dataframe 数据的 10 种方法
liuian 2024-12-20 17:18 82 浏览
python工具包pandas提供了一种存储和处理的数据类型 dataframe,和数据库中的数据表很相似,这种数据类型也提供了query()查询数据的方法。从dataframe中筛选数据是经常用的数据操作方法,还介绍了 iloc 和 loc 的区别。本文把这些常用的方法汇集在一起,供学习者参考。
数据准备
import pandas as pd
df = pd.read_csv("flights_short.csv", usecols=range(1,17))
# 共111条数据某国航空公司的飞行数据,格式和数据见本文末尾。
(01) 使用列值筛选数据
查找 飞机始发机场为“JFK” 且航空公司代号为“B6”的飞行记录,
newdf = df[(df.origin == "JFK") & (df.carrier == "B6")]
print(len(newdf))
print(newdf[0:10])输出结果如下:
(02) 使用Query()函数
可以使用dataframe提供的函数query()查找,
newdf = df.query('origin == "JFK" & carrier == "B6"')(03) 使用 loc 函数
newdf = df.loc[(df.origin == "JFK") & (df.carrier == "B6")](方法02和03的结果和方法01的结果一样)
(04) 使用行位置和列位置筛选
df.iloc[:5,] #找出前5行
df.iloc[1:5,] #找出第2行到第5行
df.iloc[5,0] #找出第6行第1列的值
df.iloc[1:5,0] #找出第2行到第5行的第1列
df.iloc[1:5,:5] #找出第2行到第5行的第5列
df.iloc[2:7,1:3] #找出第3到7行, 第2列到第3列(05) 使用行位置和列名称筛选数据
df.loc[df.index[0:5],["origin","dest"]](06) 查找某一列的多个值
newdf = df.loc[(df.origin == "JFK") | (df.origin == "LGA")]
# 或者
newdf = df[df.origin.isin(["JFK", "LGA"])](07) 按指定条件搜索行数据
newdf = df.loc[(df.origin != "JFK") & (df.carrier == "B6")](08) 找出某一列中不重复的值
newpd.unique(newdf.origin)结果为:['LGA', 'EWR']
(09) 找出不满足某个条件的值
newdf = df[df.origin.notnull()](10) 查找dataframe中的字符串
import pandas as pd
df = pd.DataFrame({"var1": ["AA_2", "B_1", "C_2", "A_2"]})
df运行结果如下:
var1
0 AA_2
1 B_1
2 C_2
3 A_2查找以A开头的字符串,
df[df['var1'].str[0] == 'A']查找长度大于3的字符串,
df[df['var1'].str.len()>3]查找包括字母A或B的字符串,
df[df['var1'].str.contains('A|B')]筛选数据时,如何处理列名称中的空格
df.rename(columns={'var1':'var 1'}, inplace = True)
df运行结果如下图所示:
loc 和 iloc 之间的区别
import numpy as np
x = pd.DataFrame({"col1" : np.arange(1,20,2)}, index=[9,8,7,6,0, 1, 2, 3, 4, 5])
结果如下图:
使用 iloc[0:5] 的结果:
使用 loc[0:5] 的结果:
其中,iloc 的结果中使用指定的索引标识,而loc则是默认的序列值。
附:本文实例中用到的数据及其格式:
"","year","month","day","dep_time","dep_delay","arr_time","arr_delay","carrier","tailnum","flight","origin","dest","air_time","distance","hour","minute"
"1",2013,1,1,517,2,830,11,"UA","N14228",1545,"EWR","IAH",227,1400,5,17
"2",2013,1,1,533,4,850,20,"UA","N24211",1714,"LGA","IAH",227,1416,5,33
"3",2013,1,1,542,2,923,33,"AA","N619AA",1141,"JFK","MIA",160,1089,5,42
"4",2013,1,1,544,-1,1004,-18,"B6","N804JB",725,"JFK","BQN",183,1576,5,44
"5",2013,1,1,554,-6,812,-25,"DL","N668DN",461,"LGA","ATL",116,762,5,54
"6",2013,1,1,554,-4,740,12,"UA","N39463",1696,"EWR","ORD",150,719,5,54
"7",2013,1,1,555,-5,913,19,"B6","N516JB",507,"EWR","FLL",158,1065,5,55
"8",2013,1,1,557,-3,709,-14,"EV","N829AS",5708,"LGA","IAD",53,229,5,57
"9",2013,1,1,557,-3,838,-8,"B6","N593JB",79,"JFK","MCO",140,944,5,57
"10",2013,1,1,558,-2,753,8,"AA","N3ALAA",301,"LGA","ORD",138,733,5,58
"11",2013,1,1,558,-2,849,-2,"B6","N793JB",49,"JFK","PBI",149,1028,5,58
"12",2013,1,1,558,-2,853,-3,"B6","N657JB",71,"JFK","TPA",158,1005,5,58
"13",2013,1,1,558,-2,924,7,"UA","N29129",194,"JFK","LAX",345,2475,5,58
"14",2013,1,1,558,-2,923,-14,"UA","N53441",1124,"EWR","SFO",361,2565,5,58
"15",2013,1,1,559,-1,941,31,"AA","N3DUAA",707,"LGA","DFW",257,1389,5,59
"16",2013,1,1,559,0,702,-4,"B6","N708JB",1806,"JFK","BOS",44,187,5,59
"17",2013,1,1,559,-1,854,-8,"UA","N76515",1187,"EWR","LAS",337,2227,5,59
"18",2013,1,1,600,0,851,-7,"B6","N595JB",371,"LGA","FLL",152,1076,6,0
"19",2013,1,1,600,0,837,12,"MQ","N542MQ",4650,"LGA","ATL",134,762,6,0
"20",2013,1,1,601,1,844,-6,"B6","N644JB",343,"EWR","PBI",147,1023,6,1
"21",2013,1,1,602,-8,812,-8,"DL","N971DL",1919,"LGA","MSP",170,1020,6,2
"22",2013,1,1,602,-3,821,16,"MQ","N730MQ",4401,"LGA","DTW",105,502,6,2
"23",2013,1,1,606,-4,858,-12,"AA","N633AA",1895,"EWR","MIA",152,1085,6,6
"24",2013,1,1,606,-4,837,-8,"DL","N3739P",1743,"JFK","ATL",128,760,6,6
"25",2013,1,1,607,0,858,-17,"UA","N53442",1077,"EWR","MIA",157,1085,6,7
"26",2013,1,1,608,8,807,32,"MQ","N9EAMQ",3768,"EWR","ORD",139,719,6,8
"27",2013,1,1,611,11,945,14,"UA","N532UA",303,"JFK","SFO",366,2586,6,11
"28",2013,1,1,613,3,925,4,"B6","N635JB",135,"JFK","RSW",175,1074,6,13
"29",2013,1,1,615,0,1039,-21,"B6","N794JB",709,"JFK","SJU",182,1598,6,15
"30",2013,1,1,615,0,833,-9,"DL","N326NB",575,"EWR","ATL",120,746,6,15
"31",2013,1,1,622,-8,1017,3,"US","N807AW",245,"EWR","PHX",342,2133,6,22
"32",2013,1,1,623,13,920,5,"AA","N3EMAA",1837,"LGA","MIA",153,1096,6,23
"33",2013,1,1,623,-4,933,1,"UA","N459UA",496,"LGA","IAH",229,1416,6,23
"34",2013,1,1,624,-6,909,29,"EV","N11107",4626,"EWR","MSP",190,1008,6,24
"35",2013,1,1,624,-6,840,10,"MQ","N518MQ",4599,"LGA","MSP",166,1020,6,24
"36",2013,1,1,627,-3,1018,0,"US","N535UW",27,"JFK","PHX",330,2153,6,27
"37",2013,1,1,628,-2,1137,-3,"AA","N3BAAA",413,"JFK","SJU",192,1598,6,28
"38",2013,1,1,628,-2,1016,29,"UA","N33289",1665,"EWR","LAX",366,2454,6,28
"39",2013,1,1,629,-1,824,14,"AA","N3CYAA",303,"LGA","ORD",140,733,6,29
"40",2013,1,1,629,-1,721,-19,"WN","N273WN",4646,"LGA","BWI",40,185,6,29
"41",2013,1,1,629,-1,824,-9,"US","N426US",1019,"EWR","CLT",91,529,6,29
"42",2013,1,1,632,24,740,12,"EV","N13553",4144,"EWR","IAD",52,212,6,32
"43",2013,1,1,635,0,1028,48,"AA","N3GKAA",711,"LGA","DFW",248,1389,6,35
"44",2013,1,1,637,-8,930,-5,"B6","N709JB",389,"LGA","MCO",144,950,6,37
"45",2013,1,1,639,-1,739,-10,"B6","N805JB",1002,"JFK","BOS",41,187,6,39
"46",2013,1,1,643,-3,922,-18,"UA","N497UA",556,"EWR","PBI",146,1023,6,43
"47",2013,1,1,643,-2,837,-11,"US","N178US",926,"EWR","CLT",91,529,6,43
"48",2013,1,1,644,8,931,-9,"UA","N75435",1701,"EWR","FLL",151,1065,6,44
"49",2013,1,1,645,-2,815,5,"B6","N796JB",102,"JFK","BUF",63,301,6,45
"50",2013,1,1,646,1,910,-6,"UA","N569UA",883,"LGA","DEN",243,1620,6,46
"51",2013,1,1,646,1,1023,-7,"UA","N38727",1496,"EWR","SNA",380,2434,6,46
"52",2013,1,1,651,-4,936,-6,"B6","N558JB",203,"JFK","LAS",323,2248,6,51
"53",2013,1,1,652,-3,932,11,"B6","N178JB",117,"JFK","MSY",191,1182,6,52
"54",2013,1,1,653,-7,936,-33,"DL","N327NW",1383,"LGA","PBI",149,1035,6,53
"55",2013,1,1,655,0,1021,-9,"DL","N3763D",1415,"JFK","SLC",294,1990,6,55
"56",2013,1,1,655,-5,1037,-8,"DL","N705TW",1865,"JFK","SFO",362,2586,6,55
"57",2013,1,1,655,-5,1002,-18,"DL","N997DL",2003,"LGA","MIA",161,1096,6,55
"58",2013,1,1,656,-4,854,4,"AA","N4WNAA",305,"LGA","ORD",143,733,6,56
"59",2013,1,1,656,-3,949,-10,"AA","N5FMAA",1815,"JFK","MCO",142,944,6,56
"60",2013,1,1,656,-9,1007,27,"MQ","N722MQ",4534,"LGA","XNA",233,1147,6,56
"61",2013,1,1,656,-4,948,-23,"UA","N24212",1115,"EWR","TPA",156,997,6,56
"62",2013,1,1,657,-3,959,-14,"DL","N318NB",1879,"LGA","FLL",164,1076,6,57
"63",2013,1,1,658,-2,944,5,"DL","N6703D",1547,"LGA","ATL",126,762,6,58
"64",2013,1,1,658,-2,1027,2,"VX","N627VA",399,"JFK","LAX",361,2475,6,58
"65",2013,1,1,659,-1,1008,-7,"AA","N3EKAA",2279,"LGA","MIA",159,1096,6,59
"66",2013,1,1,659,-1,1008,1,"B6","N646JB",981,"JFK","FLL",156,1069,6,59
"67",2013,1,1,659,-6,907,-6,"DL","N998DL",831,"LGA","DTW",105,502,6,59
"68",2013,1,1,659,-1,959,-9,"UA","N838UA",960,"EWR","RSW",164,1068,6,59
"69",2013,1,1,701,1,1123,-31,"UA","N77296",1203,"EWR","SJU",188,1608,7,1
"70",2013,1,1,702,2,1058,44,"B6","N779JB",671,"JFK","LAX",381,2475,7,2
"71",2013,1,1,709,9,852,20,"UA","N26226",1092,"LGA","ORD",135,733,7,9
"72",2013,1,1,711,-4,1151,-15,"B6","N651JB",715,"JFK","SJU",190,1598,7,11
"73",2013,1,1,712,-3,1023,-12,"AA","N3ETAA",825,"JFK","FLL",159,1069,7,12
"74",2013,1,1,715,2,911,21,"UA","N841UA",544,"EWR","ORD",156,719,7,15
"75",2013,1,1,717,-3,850,10,"FL","N978AT",850,"LGA","MKE",134,738,7,17
"76",2013,1,1,719,-2,1017,5,"B6","N562JB",987,"JFK","MCO",147,944,7,19
"77",2013,1,1,723,-2,1013,-4,"UA","N514UA",962,"EWR","PBI",153,1023,7,23
"78",2013,1,1,724,-6,1111,31,"AA","N541AA",715,"LGA","DFW",254,1389,7,24
"79",2013,1,1,724,-1,1020,-10,"AS","N594AS",11,"EWR","SEA",338,2402,7,24
"80",2013,1,1,725,-5,1052,12,"AA","N4WRAA",2083,"EWR","DFW",238,1372,7,25
"81",2013,1,1,727,-3,959,7,"UA","N37462",1162,"EWR","DEN",254,1605,7,27
"82",2013,1,1,728,-4,1041,3,"UA","N488UA",473,"LGA","IAH",238,1416,7,28
"83",2013,1,1,729,-1,1049,-26,"VX","N635VA",11,"JFK","SFO",356,2586,7,29
"84",2013,1,1,732,-3,857,-1,"B6","N304JB",20,"JFK","ROC",64,264,7,32
"85",2013,1,1,732,3,1041,2,"B6","N563JB",1601,"LGA","RSW",167,1080,7,32
"86",2013,1,1,732,47,1011,30,"UA","N37456",1111,"EWR","MCO",145,937,7,32
"87",2013,1,1,733,-3,854,4,"B6","N552JB",44,"JFK","SYR",54,209,7,33
"88",2013,1,1,734,-3,1047,-26,"B6","N625JB",643,"JFK","SFO",350,2586,7,34
"89",2013,1,1,739,-6,918,-12,"AA","N4WPAA",309,"LGA","ORD",137,733,7,39
"90",2013,1,1,739,0,1104,26,"UA","N37408",1479,"EWR","IAH",249,1400,7,39
"91",2013,1,1,741,-4,1038,2,"B6","N633JB",983,"LGA","TPA",158,1010,7,41
"92",2013,1,1,743,13,1107,7,"AA","N338AA",33,"JFK","LAX",358,2475,7,43
"93",2013,1,1,743,-6,1043,-11,"B6","N624JB",341,"JFK","SRQ",164,1041,7,43
"94",2013,1,1,743,13,1059,3,"DL","N3760C",495,"JFK","SEA",349,2422,7,43
"95",2013,1,1,745,0,1135,10,"AA","N336AA",59,"JFK","SFO",378,2586,7,45
"96",2013,1,1,746,0,1119,-10,"UA","N24224",1668,"EWR","SFO",373,2565,7,46
"97",2013,1,1,749,39,939,49,"MQ","N508MQ",3737,"EWR","ORD",148,719,7,49
"98",2013,1,1,752,-3,1041,-18,"DL","N325US",2263,"LGA","MCO",140,950,7,52
"99",2013,1,1,752,2,1025,-4,"UA","N511UA",477,"LGA","DEN",249,1620,7,52
"100",2013,1,1,752,-7,955,-4,"US","N543UW",1733,"LGA","CLT",96,544,7,52
"101",2013,1,1,753,-2,1056,-14,"AA","N3HMAA",2267,"LGA","MIA",157,1096,7,53
"102",2013,1,1,754,-5,1039,-2,"DL","N935DL",2047,"LGA","ATL",126,762,7,54
"103",2013,1,1,754,-1,1103,33,"WN","N789SW",733,"LGA","DEN",279,1620,7,54
"104",2013,1,1,758,-2,1053,-1,"B6","N645JB",517,"EWR","MCO",142,937,7,58
"105",2013,1,1,759,-1,1057,-30,"DL","N955DL",1843,"JFK","MIA",158,1089,7,59
"106",2013,1,1,800,0,1022,8,"DL","N317US",2119,"LGA","MSP",171,1020,8,0
"107",2013,1,1,800,-10,949,-6,"MQ","N828MQ",4406,"JFK","RDU",80,427,8,0
"108",2013,1,1,801,-4,900,-19,"B6","N206JB",1172,"EWR","BOS",38,200,8,1
"109",2013,1,1,803,-7,903,-22,"AA","N3GEAA",1838,"JFK","BOS",38,187,8,3
"110",2013,1,1,803,3,1132,-12,"UA","N510UA",223,"JFK","SFO",369,2586,8,3
"111",2013,1,1,804,-6,1103,-13,"DL","N947DL",1959,"JFK","MCO",147,944,8,4相关推荐
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曾帅,高宗彬,赵国锋(重庆邮电大学通信与信息工程学院,重庆400065)摘要:设计了一种基于Tilera众核平台高强度的流媒体流量发生系统架构,其主要包括:系统界面管理模块、服务承载模块和流媒体...
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1.主要实现rtsp转tcp协议视频流播放ffmpeg下载安装(公认业界视频处理大佬)a、官网地址:www.ffmpeg.org/b、gitHub:github.com/FFmpeg/FFmp…c、推...
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