文件读写操作

f = open('E:\江湖.text.txt','r+',encoding='GBK')
for line in f.readlines():
    print(line)

               《江湖行》

                    黄沾

天下风云出我辈，一入江湖岁月催。

皇图霸业谈笑中，不胜人生一场醉。

提剑跨骑挥鬼雨，白骨如山鸟惊飞。

尘事如潮人如水，只叹江湖几人回。

​

0

read([size]),readline(size),readlines(size)的用法和差别

f.seek(0) #读取光标调整至第一行
f.read() # 读取文件所有行返回一个字符串

'               《江湖行》\n                    黄沾\n天下风云出我辈，一入江湖岁月催。\n皇图霸业谈笑中，不胜人生一场醉。\n提剑跨骑挥鬼雨，白骨如山鸟惊飞。\n尘事如潮人如水，只叹江湖几人回。\n'

f.seek(0)
print(f.readline()) #每次读取一行后光标移动至下一行
print(f.readline())

               《江湖行》

                    黄沾

​

f.seek(0)
print(f.readlines()) #读取文件所有行返回一个列表

['               《江湖行》\n', '                    黄沾\n', '天下风云出我辈，一入江湖岁月催。\n', '皇图霸业谈笑中，不胜人生一场醉。\n', '提剑跨骑挥鬼雨，白骨如山鸟惊飞。\n', '尘事如潮人如水，只叹江湖几人回。\n']

file = open('江湖人生.text','w',encoding='GBK') # w只写文件,若文件存在则文件内容消失，若不存在则创建文件
file.write('天下风云出我辈,一入江湖岁月催')
file.write('\r')         # 将光标移动至下一行
file.write('皇图霸业笑谈中，不胜人生一场醉')
file.close()

fi = open('江湖人生.text','r',encoding = 'GBK') # r只读文件文件必须存在
print(fi.readlines())
fi.close()

['天下风云出我辈,一入江湖岁月催\n', '皇图霸业笑谈中，不胜人生一场醉']

f_2 = open('江湖人生.text','r+',encoding = 'GBK') #r+读写文件文件必须存在
f_2.readlines()

['天下风云出我辈,一入江湖岁月催\n', '皇图霸业笑谈中，不胜人生一场醉']

write与writelines()的差别

f_2.write('\r')
f_2.write('提剑跨骑挥鬼雨,不胜人生一场醉') #写入一行文件
f_2.seek(0)
f_2.readlines()

['天下风云出我辈,一入江湖岁月催\n',
 '皇图霸业笑谈中，不胜人生一场醉\n',
 '提剑跨骑挥鬼雨,不胜人生一场醉\n',
 '提剑跨骑挥鬼雨,不胜人生一场醉']

#将一个序列写入文件
LI = ['尘世如潮人如水,','只叹江湖几人回']
f_2.write(LI) #write方法行不同会出错

---------------------------------------------------------------------------

TypeError                                 Traceback (most recent call last)

<ipython-input-128-882c119ad11b> in <module>
      1 #将一个序列写入文件
      2 LI = ['尘世如潮人如水,','只叹江湖几人回']
----> 3 f_2.write(LI) #write方法行不同会出错

TypeError: write() argument must be str, not list

#用writelines方法写入序列
f_2.writelines(LI)
f_2.seek(0)
f_2.readlines()

['天下风云出我辈,一入江湖岁月催\n',
 '皇图霸业笑谈中，不胜人生一场醉\n',
 '提剑跨骑挥鬼雨,不胜人生一场醉\n',
 '提剑跨骑挥鬼雨,不胜人生一场醉尘世如潮人如水,只叹江湖几人回']

f_2.close()

#w+ 打开可读写文件，若文件存在则文件长度清为零，即该文件内容会消失。若文件不存在则建立该文件。
f_3 = open('任我行.text','w+',encoding='GBK')#原先没有这个文件运行之后目录下多了这个文本
#写入一句
f_3.write('天下风云出我辈,一入江湖岁月催')

15

f_3.seek(0)
print(f_3.readlines())
f_3.close()

['天下风云出我辈,一入江湖岁月催']

#重新以w+打开文件因为原来已经有了该文件所以会清空文件内容
f_3 = open('任我行.text','w+',encoding='GBK')
f_3.readlines() #此时输出的是个空文件

[]

#w+和r+两种读写模式可以用一个if语句来联合使用
import os
if os.path.exists('任我行.text'):
    outfile = open('任我行.text','r+',encoding='GBK') #如果文件存在则采用读写模式r+否则读写模式w+
else:
    outfile = open('任我行.text','w+',encoding='GBK')

outfile.close()

# 读取imagenet分类标签文件
f = open('imagenet_class.csv')
text = f.read()
print(text)

# 读文件，按行来读取
f = open('imagenet_class.csv')
lines = f.readlines()
#print(lines)
print(len(lines))
print(lines[0])

 0, tench Tinca tinca
 1, goldfish Carassius auratus
 2, great white shark white shark man-eater man-eating shark Carcharodon carcharias
 3, tiger shark Galeocerdo cuvieri
 4, hammerhead hammerhead shark
 5, electric ray crampfish numbfish torpedo
 6, stingray
 7, cock
 8, hen
 9, ostrich Struthio camelus
 10, brambling Fringilla montifringilla
 11, goldfinch Carduelis carduelis
 12, house finch linnet Carpodacus mexicanus
 13, junco snowbird
 14, indigo bunting indigo finch indigo bird Passerina cyanea
 15, robin American robin Turdus migratorius
 16, bulbul
 17, jay
 18, magpie
 19, chickadee
 20, water ouzel dipper
 21, kite
 22, bald eagle American eagle Haliaeetus leucocephalus
 23, vulture
 24, great grey owl great gray owl Strix nebulosa
 25, European fire salamander Salamandra salamandra
 26, common newt Triturus vulgaris
 27, eft
 28, spotted salamander Ambystoma maculatum
 29, axolotl mud puppy Ambystoma mexicanum
 30, bullfrog Rana catesbeiana
 31, tree frog tree-frog
 32, tailed frog bell toad ribbed toad tailed toad Ascaphus trui
 33, loggerhead loggerhead turtle Caretta caretta
 34, leatherback turtle leatherback leathery turtle Dermochelys coriacea
 35, mud turtle
 36, terrapin
 37, box turtle box tortoise
 38, banded gecko
 39, common iguana iguana Iguana iguana
 40, American chameleon anole Anolis carolinensis
 41, whiptail whiptail lizard
 42, agama
 43, frilled lizard Chlamydosaurus kingi
 44, alligator lizard
 45, Gila monster Heloderma suspectum
 46, green lizard Lacerta viridis
 47, African chameleon Chamaeleo chamaeleon
 48, Komodo dragon Komodo lizard dragon lizard giant lizard Varanus komodoensis
 49, African crocodile Nile crocodile Crocodylus niloticus
 50, American alligator Alligator mississipiensis
 51, triceratops
 52, thunder snake worm snake Carphophis amoenus
 53, ringneck snake ring-necked snake ring snake
 54, hognose snake puff adder sand viper
 55, green snake grass snake
 56, king snake kingsnake
 57, garter snake grass snake
 58, water snake
 59, vine snake
 60, night snake Hypsiglena torquata
 61, boa constrictor Constrictor constrictor
 62, rock python rock snake Python sebae
 63, Indian cobra Naja naja
 64, green mamba
 65, sea snake
 66, horned viper cerastes sand viper horned asp Cerastes cornutus
 67, diamondback diamondback rattlesnake Crotalus adamanteus
 68, sidewinder horned rattlesnake Crotalus cerastes
 69, trilobite
 70, harvestman daddy longlegs Phalangium opilio
 71, scorpion
 72, black and gold garden spider Argiope aurantia
 73, barn spider Araneus cavaticus
 74, garden spider Aranea diademata
 75, black widow Latrodectus mactans
 76, tarantula
 77, wolf spider hunting spider
 78, tick
 79, centipede
 80, black grouse
 81, ptarmigan
 82, ruffed grouse partridge Bonasa umbellus
 83, prairie chicken prairie grouse prairie fowl
 84, peacock
 85, quail
 86, partridge
 87, African grey African gray Psittacus erithacus
 88, macaw
 89, sulphur-crested cockatoo Kakatoe galerita Cacatua galerita
 90, lorikeet
 91, coucal
 92, bee eater
 93, hornbill
 94, hummingbird
 95, jacamar
 96, toucan
 97, drake
 98, red-breasted merganser Mergus serrator
 99, goose
 100, black swan Cygnus atratus
 101, tusker
 102, echidna spiny anteater anteater
 103, platypus duckbill duckbilled platypus duck-billed platypus Ornithorhynchus anatinus
 104, wallaby brush kangaroo
 105, koala koala bear kangaroo bear native bear Phascolarctos cinereus
 106, wombat
 107, jellyfish
 108, sea anemone anemone
 109, brain coral
 110, flatworm platyhelminth
 111, nematode nematode worm roundworm
 112, conch
 113, snail
 114, slug
 115, sea slug nudibranch
 116, chiton coat-of-mail shell sea cradle polyplacophore
 117, chambered nautilus pearly nautilus nautilus
 118, Dungeness crab Cancer magister
 119, rock crab Cancer irroratus
 120, fiddler crab
 121, king crab Alaska crab Alaskan king crab Alaska king crab Paralithodes camtschatica
 122, American lobster Northern lobster Maine lobster Homarus americanus
 123, spiny lobster langouste rock lobster crawfish crayfish sea crawfish
 124, crayfish crawfish crawdad crawdaddy
 125, hermit crab
 126, isopod
 127, white stork Ciconia ciconia
 128, black stork Ciconia nigra
 129, spoonbill
 130, flamingo
 131, little blue heron Egretta caerulea
 132, American egret great white heron Egretta albus
 133, bittern
 134, crane
 135, limpkin Aramus pictus
 136, European gallinule Porphyrio porphyrio
 137, American coot marsh hen mud hen water hen Fulica americana
 138, bustard
 139, ruddy turnstone Arenaria interpres
 140, red-backed sandpiper dunlin Erolia alpina
 141, redshank Tringa totanus
 142, dowitcher
 143, oystercatcher oyster catcher
 144, pelican
 145, king penguin Aptenodytes patagonica
 146, albatross mollymawk
 147, grey whale gray whale devilfish Eschrichtius gibbosus Eschrichtius robustus
 148, killer whale killer orca grampus sea wolf Orcinus orca
 149, dugong Dugong dugon
 150, sea lion
 151, Chihuahua
 152, Japanese spaniel
 153, Maltese dog Maltese terrier Maltese
 154, Pekinese Pekingese Peke
 155, Shih-Tzu
 156, Blenheim spaniel
 157, papillon
 158, toy terrier
 159, Rhodesian ridgeback
 160, Afghan hound Afghan
 161, basset basset hound
 162, beagle
 163, bloodhound sleuthhound
 164, bluetick
 165, black-and-tan coonhound
 166, Walker hound Walker foxhound
 167, English foxhound
 168, redbone
 169, borzoi Russian wolfhound
 170, Irish wolfhound
 171, Italian greyhound
 172, whippet
 173, Ibizan hound Ibizan Podenco
 174, Norwegian elkhound elkhound
 175, otterhound otter hound
 176, Saluki gazelle hound
 177, Scottish deerhound deerhound
 178, Weimaraner
 179, Staffordshire bullterrier Staffordshire bull terrier
 180, American Staffordshire terrier Staffordshire terrier American pit bull terrier pit bull terrier
 181, Bedlington terrier
 182, Border terrier
 183, Kerry blue terrier
 184, Irish terrier
 185, Norfolk terrier
 186, Norwich terrier
 187, Yorkshire terrier
 188, wire-haired fox terrier
 189, Lakeland terrier
 190, Sealyham terrier Sealyham
 191, Airedale Airedale terrier
 192, cairn cairn terrier
 193, Australian terrier
 194, Dandie Dinmont Dandie Dinmont terrier
 195, Boston bull Boston terrier
 196, miniature schnauzer
 197, giant schnauzer
 198, standard schnauzer
 199, Scotch terrier Scottish terrier Scottie
 200, Tibetan terrier chrysanthemum dog
 201, silky terrier Sydney silky
 202, soft-coated wheaten terrier
 203, West Highland white terrier
 204, Lhasa Lhasa apso
 205, flat-coated retriever
 206, curly-coated retriever
 207, golden retriever
 208, Labrador retriever
 209, Chesapeake Bay retriever
 210, German short-haired pointer
 211, vizsla Hungarian pointer
 212, English setter
 213, Irish setter red setter
 214, Gordon setter
 215, Brittany spaniel
 216, clumber clumber spaniel
 217, English springer English springer spaniel
 218, Welsh springer spaniel
 219, cocker spaniel English cocker spaniel cocker
 220, Sussex spaniel
 221, Irish water spaniel
 222, kuvasz
 223, schipperke
 224, groenendael
 225, malinois
 226, briard
 227, kelpie
 228, komondor
 229, Old English sheepdog bobtail
 230, Shetland sheepdog Shetland sheep dog Shetland
 231, collie
 232, Border collie
 233, Bouvier des Flandres Bouviers des Flandres
 234, Rottweiler
 235, German shepherd German shepherd dog German police dog alsatian
 236, Doberman Doberman pinscher
 237, miniature pinscher
 238, Greater Swiss Mountain dog
 239, Bernese mountain dog
 240, Appenzeller
 241, EntleBucher
 242, boxer
 243, bull mastiff
 244, Tibetan mastiff
 245, French bulldog
 246, Great Dane
 247, Saint Bernard St Bernard
 248, Eskimo dog husky
 249, malamute malemute Alaskan malamute
 250, Siberian husky
 251, dalmatian coach dog carriage dog
 252, affenpinscher monkey pinscher monkey dog
 253, basenji
 254, pug pug-dog
 255, Leonberg
 256, Newfoundland Newfoundland dog
 257, Great Pyrenees
 258, Samoyed Samoyede
 259, Pomeranian
 260, chow chow chow
 261, keeshond
 262, Brabancon griffon
 263, Pembroke Pembroke Welsh corgi
 264, Cardigan Cardigan Welsh corgi
 265, toy poodle
 266, miniature poodle
 267, standard poodle
 268, Mexican hairless
 269, timber wolf grey wolf gray wolf Canis lupus
 270, white wolf Arctic wolf Canis lupus tundrarum
 271, red wolf maned wolf Canis rufus Canis niger
 272, coyote prairie wolf brush wolf Canis latrans
 273, dingo warrigal warragal Canis dingo
 274, dhole Cuon alpinus
 275, African hunting dog hyena dog Cape hunting dog Lycaon pictus
 276, hyena hyaena
 277, red fox Vulpes vulpes
 278, kit fox Vulpes macrotis
 279, Arctic fox white fox Alopex lagopus
 280, grey fox gray fox Urocyon cinereoargenteus
 281, tabby tabby cat
 282, tiger cat
 283, Persian cat
 284, Siamese cat Siamese
 285, Egyptian cat
 286, cougar puma catamount mountain lion painter panther Felis concolor
 287, lynx catamount
 288, leopard Panthera pardus
 289, snow leopard ounce Panthera uncia
 290, jaguar panther Panthera onca Felis onca
 291, lion king of beasts Panthera leo
 292, tiger Panthera tigris
 293, cheetah chetah Acinonyx jubatus
 294, brown bear bruin Ursus arctos
 295, American black bear black bear Ursus americanus Euarctos americanus
 296, ice bear polar bear Ursus Maritimus Thalarctos maritimus
 297, sloth bear Melursus ursinus Ursus ursinus
 298, mongoose
 299, meerkat mierkat
 300, tiger beetle
 301, ladybug ladybeetle lady beetle ladybird ladybird beetle
 302, ground beetle carabid beetle
 303, long-horned beetle longicorn longicorn beetle
 304, leaf beetle chrysomelid
 305, dung beetle
 306, rhinoceros beetle
 307, weevil
 308, fly
 309, bee
 310, ant emmet pismire
 311, grasshopper hopper
 312, cricket
 313, walking stick walkingstick stick insect
 314, cockroach roach
 315, mantis mantid
 316, cicada cicala
 317, leafhopper
 318, lacewing lacewing fly
 319, "dragonfly darning needle devils darning needle sewing needle snake feeder snake doctor mosquito hawk skeeter hawk"
 320, damselfly
 321, admiral
 322, ringlet ringlet butterfly
 323, monarch monarch butterfly milkweed butterfly Danaus plexippus
 324, cabbage butterfly
 325, sulphur butterfly sulfur butterfly
 326, lycaenid lycaenid butterfly
 327, starfish sea star
 328, sea urchin
 329, sea cucumber holothurian
 330, wood rabbit cottontail cottontail rabbit
 331, hare
 332, Angora Angora rabbit
 333, hamster
 334, porcupine hedgehog
 335, fox squirrel eastern fox squirrel Sciurus niger
 336, marmot
 337, beaver
 338, guinea pig Cavia cobaya
 339, sorrel
 340, zebra
 341, hog pig grunter squealer Sus scrofa
 342, wild boar boar Sus scrofa
 343, warthog
 344, hippopotamus hippo river horse Hippopotamus amphibius
 345, ox
 346, water buffalo water ox Asiatic buffalo Bubalus bubalis
 347, bison
 348, ram tup
 349, bighorn bighorn sheep cimarron Rocky Mountain bighorn Rocky Mountain sheep Ovis canadensis
 350, ibex Capra ibex
 351, hartebeest
 352, impala Aepyceros melampus
 353, gazelle
 354, Arabian camel dromedary Camelus dromedarius
 355, llama
 356, weasel
 357, mink
 358, polecat fitch foulmart foumart Mustela putorius
 359, black-footed ferret ferret Mustela nigripes
 360, otter
 361, skunk polecat wood pussy
 362, badger
 363, armadillo
 364, three-toed sloth ai Bradypus tridactylus
 365, orangutan orang orangutang Pongo pygmaeus
 366, gorilla Gorilla gorilla
 367, chimpanzee chimp Pan troglodytes
 368, gibbon Hylobates lar
 369, siamang Hylobates syndactylus Symphalangus syndactylus
 370, guenon guenon monkey
 371, patas hussar monkey Erythrocebus patas
 372, baboon
 373, macaque
 374, langur
 375, colobus colobus monkey
 376, proboscis monkey Nasalis larvatus
 377, marmoset
 378, capuchin ringtail Cebus capucinus
 379, howler monkey howler
 380, titi titi monkey
 381, spider monkey Ateles geoffroyi
 382, squirrel monkey Saimiri sciureus
 383, Madagascar cat ring-tailed lemur Lemur catta
 384, indri indris Indri indri Indri brevicaudatus
 385, Indian elephant Elephas maximus
 386, African elephant Loxodonta africana
 387, lesser panda red panda panda bear cat cat bear Ailurus fulgens
 388, giant panda panda panda bear coon bear Ailuropoda melanoleuca
 389, barracouta snoek
 390, eel
 391, coho cohoe coho salmon blue jack silver salmon Oncorhynchus kisutch
 392, rock beauty Holocanthus tricolor
 393, anemone fish
 394, sturgeon
 395, gar garfish garpike billfish Lepisosteus osseus
 396, lionfish
 397, puffer pufferfish blowfish globefish
 398, abacus
 399, abaya
 400, "academic gown academic robe judges robe"
 401, accordion piano accordion squeeze box
 402, acoustic guitar
 403, aircraft carrier carrier flattop attack aircraft carrier
 404, airliner
 405, airship dirigible
 406, altar
 407, ambulance
 408, amphibian amphibious vehicle
 409, analog clock
 410, apiary bee house
 411, apron
 412, ashcan trash can garbage can wastebin ash bin ash-bin ashbin dustbin trash barrel trash bin
 413, assault rifle assault gun
 414, backpack back pack knapsack packsack rucksack haversack
 415, bakery bakeshop bakehouse
 416, balance beam beam
 417, balloon
 418, ballpoint ballpoint pen ballpen Biro
 419, Band Aid
 420, banjo
 421, bannister banister balustrade balusters handrail
 422, barbell
 423, barber chair
 424, barbershop
 425, barn
 426, barometer
 427, barrel cask
 428, barrow garden cart lawn cart wheelbarrow
 429, baseball
 430, basketball
 431, bassinet
 432, bassoon
 433, bathing cap swimming cap
 434, bath towel
 435, bathtub bathing tub bath tub
 436, beach wagon station wagon wagon estate car beach waggon station waggon waggon
 437, beacon lighthouse beacon light pharos
 438, beaker
 439, bearskin busby shako
 440, beer bottle
 441, beer glass
 442, bell cote bell cot
 443, bib
 444, bicycle-built-for-two tandem bicycle tandem
 445, bikini two-piece
 446, binder ring-binder
 447, binoculars field glasses opera glasses
 448, birdhouse
 449, boathouse
 450, bobsled bobsleigh bob
 451, bolo tie bolo bola tie bola
 452, bonnet poke bonnet
 453, bookcase
 454, bookshop bookstore bookstall
 455, bottlecap
 456, bow
 457, bow tie bow-tie bowtie
 458, brass memorial tablet plaque
 459, brassiere bra bandeau
 460, breakwater groin groyne mole bulwark seawall jetty
 461, breastplate aegis egis
 462, broom
 463, bucket pail
 464, buckle
 465, bulletproof vest
 466, bullet train bullet
 467, butcher shop meat market
 468, cab hack taxi taxicab
 469, caldron cauldron
 470, candle taper wax light
 471, cannon
 472, canoe
 473, can opener tin opener
 474, cardigan
 475, car mirror
 476, carousel carrousel merry-go-round roundabout whirligig
 477, "carpenters kit tool kit"
 478, carton
 479, car wheel
 480, cash machine cash dispenser automated teller machine automatic teller machine automated teller automatic teller ATM
 481, cassette
 482, cassette player
 483, castle
 484, catamaran
 485, CD player
 486, cello violoncello
 487, cellular telephone cellular phone cellphone cell mobile phone
 488, chain
 489, chainlink fence
 490, chain mail ring mail mail chain armor chain armour ring armor ring armour
 491, chain saw chainsaw
 492, chest
 493, chiffonier commode
 494, chime bell gong
 495, china cabinet china closet
 496, Christmas stocking
 497, church church building
 498, cinema movie theater movie theatre movie house picture palace
 499, cleaver meat cleaver chopper
 500, cliff dwelling
 501, cloak
 502, clog geta patten sabot
 503, cocktail shaker
 504, coffee mug
 505, coffeepot
 506, coil spiral volute whorl helix
 507, combination lock
 508, computer keyboard keypad
 509, confectionery confectionary candy store
 510, container ship containership container vessel
 511, convertible
 512, corkscrew bottle screw
 513, cornet horn trumpet trump
 514, cowboy boot
 515, cowboy hat ten-gallon hat
 516, cradle
 517, crane
 518, crash helmet
 519, crate
 520, crib cot
 521, Crock Pot
 522, croquet ball
 523, crutch
 524, cuirass
 525, dam dike dyke
 526, desk
 527, desktop computer
 528, dial telephone dial phone
 529, diaper nappy napkin
 530, digital clock
 531, digital watch
 532, dining table board
 533, dishrag dishcloth
 534, dishwasher dish washer dishwashing machine
 535, disk brake disc brake
 536, dock dockage docking facility
 537, dogsled dog sled dog sleigh
 538, dome
 539, doormat welcome mat
 540, drilling platform offshore rig
 541, drum membranophone tympan
 542, drumstick
 543, dumbbell
 544, Dutch oven
 545, electric fan blower
 546, electric guitar
 547, electric locomotive
 548, entertainment center
 549, envelope
 550, espresso maker
 551, face powder
 552, feather boa boa
 553, file file cabinet filing cabinet
 554, fireboat
 555, fire engine fire truck
 556, fire screen fireguard
 557, flagpole flagstaff
 558, flute transverse flute
 559, folding chair
 560, football helmet
 561, forklift
 562, fountain
 563, fountain pen
 564, four-poster
 565, freight car
 566, French horn horn
 567, frying pan frypan skillet
 568, fur coat
 569, garbage truck dustcart
 570, gasmask respirator gas helmet
 571, gas pump gasoline pump petrol pump island dispenser
 572, goblet
 573, go-kart
 574, golf ball
 575, golfcart golf cart
 576, gondola
 577, gong tam-tam
 578, gown
 579, grand piano grand
 580, greenhouse nursery glasshouse
 581, grille radiator grille
 582, grocery store grocery food market market
 583, guillotine
 584, hair slide
 585, hair spray
 586, half track
 587, hammer
 588, hamper
 589, hand blower blow dryer blow drier hair dryer hair drier
 590, hand-held computer hand-held microcomputer
 591, handkerchief hankie hanky hankey
 592, hard disc hard disk fixed disk
 593, harmonica mouth organ harp mouth harp
 594, harp
 595, harvester reaper
 596, hatchet
 597, holster
 598, home theater home theatre
 599, honeycomb
 600, hook claw
 601, hoopskirt crinoline
 602, horizontal bar high bar
 603, horse cart horse-cart
 604, hourglass
 605, iPod
 606, iron smoothing iron
 607, "jack-o-lantern"
 608, jean blue jean denim
 609, jeep landrover
 610, jersey T-shirt tee shirt
 611, jigsaw puzzle
 612, jinrikisha ricksha rickshaw
 613, joystick
 614, kimono
 615, knee pad
 616, knot
 617, lab coat laboratory coat
 618, ladle
 619, lampshade lamp shade
 620, laptop laptop computer
 621, lawn mower mower
 622, lens cap lens cover
 623, letter opener paper knife paperknife
 624, library
 625, lifeboat
 626, lighter light igniter ignitor
 627, limousine limo
 628, liner ocean liner
 629, lipstick lip rouge
 630, Loafer
 631, lotion
 632, loudspeaker speaker speaker unit loudspeaker system speaker system
 633, "loupe jewelers loupe"
 634, lumbermill sawmill
 635, magnetic compass
 636, mailbag postbag
 637, mailbox letter box
 638, maillot
 639, maillot tank suit
 640, manhole cover
 641, maraca
 642, marimba xylophone
 643, mask
 644, matchstick
 645, maypole
 646, maze labyrinth
 647, measuring cup
 648, medicine chest medicine cabinet
 649, megalith megalithic structure
 650, microphone mike
 651, microwave microwave oven
 652, military uniform
 653, milk can
 654, minibus
 655, miniskirt mini
 656, minivan
 657, missile
 658, mitten
 659, mixing bowl
 660, mobile home manufactured home
 661, Model T
 662, modem
 663, monastery
 664, monitor
 665, moped
 666, mortar
 667, mortarboard
 668, mosque
 669, mosquito net
 670, motor scooter scooter
 671, mountain bike all-terrain bike off-roader
 672, mountain tent
 673, mouse computer mouse
 674, mousetrap
 675, moving van
 676, muzzle
 677, nail
 678, neck brace
 679, necklace
 680, nipple
 681, notebook notebook computer
 682, obelisk
 683, oboe hautboy hautbois
 684, ocarina sweet potato
 685, odometer hodometer mileometer milometer
 686, oil filter
 687, organ pipe organ
 688, oscilloscope scope cathode-ray oscilloscope CRO
 689, overskirt
 690, oxcart
 691, oxygen mask
 692, packet
 693, paddle boat paddle
 694, paddlewheel paddle wheel
 695, padlock
 696, paintbrush
 697, "pajama pyjama pjs jammies"
 698, palace
 699, panpipe pandean pipe syrinx
 700, paper towel
 701, parachute chute
 702, parallel bars bars
 703, park bench
 704, parking meter
 705, passenger car coach carriage
 706, patio terrace
 707, pay-phone pay-station
 708, pedestal plinth footstall
 709, pencil box pencil case
 710, pencil sharpener
 711, perfume essence
 712, Petri dish
 713, photocopier
 714, pick plectrum plectron
 715, pickelhaube
 716, picket fence paling
 717, pickup pickup truck
 718, pier
 719, piggy bank penny bank
 720, pill bottle
 721, pillow
 722, ping-pong ball
 723, pinwheel
 724, pirate pirate ship
 725, pitcher ewer
 726, "plane carpenters plane woodworking plane"
 727, planetarium
 728, plastic bag
 729, plate rack
 730, plow plough
 731, "plunger plumbers helper"
 732, Polaroid camera Polaroid Land camera
 733, pole
 734, police van police wagon paddy wagon patrol wagon wagon black Maria
 735, poncho
 736, pool table billiard table snooker table
 737, pop bottle soda bottle
 738, pot flowerpot
 739, "potters wheel"
 740, power drill
 741, prayer rug prayer mat
 742, printer
 743, prison prison house
 744, projectile missile
 745, projector
 746, puck hockey puck
 747, punching bag punch bag punching ball punchball
 748, purse
 749, quill quill pen
 750, quilt comforter comfort puff
 751, racer race car racing car
 752, racket racquet
 753, radiator
 754, radio wireless
 755, radio telescope radio reflector
 756, rain barrel
 757, recreational vehicle RV R.V.
 758, reel
 759, reflex camera
 760, refrigerator icebox
 761, remote control remote
 762, restaurant eating house eating place eatery
 763, revolver six-gun six-shooter
 764, rifle
 765, rocking chair rocker
 766, rotisserie
 767, rubber eraser rubber pencil eraser
 768, rugby ball
 769, rule ruler
 770, running shoe
 771, safe
 772, safety pin
 773, saltshaker salt shaker
 774, sandal
 775, sarong
 776, sax saxophone
 777, scabbard
 778, scale weighing machine
 779, school bus
 780, schooner
 781, scoreboard
 782, screen CRT screen
 783, screw
 784, screwdriver
 785, seat belt seatbelt
 786, sewing machine
 787, shield buckler
 788, shoe shop shoe-shop shoe store
 789, shoji
 790, shopping basket
 791, shopping cart
 792, shovel
 793, shower cap
 794, shower curtain
 795, ski
 796, ski mask
 797, sleeping bag
 798, slide rule slipstick
 799, sliding door
 800, slot one-armed bandit
 801, snorkel
 802, snowmobile
 803, snowplow snowplough
 804, soap dispenser
 805, soccer ball
 806, sock
 807, solar dish solar collector solar furnace
 808, sombrero
 809, soup bowl
 810, space bar
 811, space heater
 812, space shuttle
 813, spatula
 814, speedboat
 815, "spider web spiders web"
 816, spindle
 817, sports car sport car
 818, spotlight spot
 819, stage
 820, steam locomotive
 821, steel arch bridge
 822, steel drum
 823, stethoscope
 824, stole
 825, stone wall
 826, stopwatch stop watch
 827, stove
 828, strainer
 829, streetcar tram tramcar trolley trolley car
 830, stretcher
 831, studio couch day bed
 832, stupa tope
 833, submarine pigboat sub U-boat
 834, suit suit of clothes
 835, sundial
 836, sunglass
 837, sunglasses dark glasses shades
 838, sunscreen sunblock sun blocker
 839, suspension bridge
 840, swab swob mop
 841, sweatshirt
 842, swimming trunks bathing trunks
 843, swing
 844, switch electric switch electrical switch
 845, syringe
 846, table lamp
 847, tank army tank armored combat vehicle armoured combat vehicle
 848, tape player
 849, teapot
 850, teddy teddy bear
 851, television television system
 852, tennis ball
 853, thatch thatched roof
 854, theater curtain theatre curtain
 855, thimble
 856, thresher thrasher threshing machine
 857, throne
 858, tile roof
 859, toaster
 860, tobacco shop tobacconist shop tobacconist
 861, toilet seat
 862, torch
 863, totem pole
 864, tow truck tow car wrecker
 865, toyshop
 866, tractor
 867, trailer truck tractor trailer trucking rig rig articulated lorry semi
 868, tray
 869, trench coat
 870, tricycle trike velocipede
 871, trimaran
 872, tripod
 873, triumphal arch
 874, trolleybus trolley coach trackless trolley
 875, trombone
 876, tub vat
 877, turnstile
 878, typewriter keyboard
 879, umbrella
 880, unicycle monocycle
 881, upright upright piano
 882, vacuum vacuum cleaner
 883, vase
 884, vault
 885, velvet
 886, vending machine
 887, vestment
 888, viaduct
 889, violin fiddle
 890, volleyball
 891, waffle iron
 892, wall clock
 893, wallet billfold notecase pocketbook
 894, wardrobe closet press
 895, warplane military plane
 896, washbasin handbasin washbowl lavabo wash-hand basin
 897, washer automatic washer washing machine
 898, water bottle
 899, water jug
 900, water tower
 901, whiskey jug
 902, whistle
 903, wig
 904, window screen
 905, window shade
 906, Windsor tie
 907, wine bottle
 908, wing
 909, wok
 910, wooden spoon
 911, wool woolen woollen
 912, worm fence snake fence snake-rail fence Virginia fence
 913, wreck
 914, yawl
 915, yurt
 916, web site website internet site site
 917, comic book
 918, crossword puzzle crossword
 919, street sign
 920, traffic light traffic signal stoplight
 921, book jacket dust cover dust jacket dust wrapper
 922, menu
 923, plate
 924, guacamole
 925, consomme
 926, hot pot hotpot
 927, trifle
 928, ice cream icecream
 929, ice lolly lolly lollipop popsicle
 930, French loaf
 931, bagel beigel
 932, pretzel
 933, cheeseburger
 934, hotdog hot dog red hot
 935, mashed potato
 936, head cabbage
 937, broccoli
 938, cauliflower
 939, zucchini courgette
 940, spaghetti squash
 941, acorn squash
 942, butternut squash
 943, cucumber cuke
 944, artichoke globe artichoke
 945, bell pepper
 946, cardoon
 947, mushroom
 948, Granny Smith
 949, strawberry
 950, orange
 951, lemon
 952, fig
 953, pineapple ananas
 954, banana
 955, jackfruit jak jack
 956, custard apple
 957, pomegranate
 958, hay
 959, carbonara
 960, chocolate sauce chocolate syrup
 961, dough
 962, meat loaf meatloaf
 963, pizza pizza pie
 964, potpie
 965, burrito
 966, red wine
 967, espresso
 968, cup
 969, eggnog
 970, alp
 971, bubble
 972, cliff drop drop-off
 973, coral reef
 974, geyser
 975, lakeside lakeshore
 976, promontory headland head foreland
 977, sandbar sand bar
 978, seashore coast seacoast sea-coast
 979, valley vale
 980, volcano
 981, ballplayer baseball player
 982, groom bridegroom
 983, scuba diver
 984, rapeseed
 985, daisy
 986, "yellow ladys slipper yellow lady-slipper Cypripedium calceolus Cypripedium parviflorum"
 987, corn
 988, acorn
 989, hip rose hip rosehip
 990, buckeye horse chestnut conker
 991, coral fungus
 992, agaric
 993, gyromitra
 994, stinkhorn carrion fungus
 995, earthstar
 996, hen-of-the-woods hen of the woods Polyporus frondosus Grifola frondosa
 997, bolete
 998, ear spike capitulum
 999, toilet tissue toilet paper bathroom tissue}

1000
 0, tench Tinca tinca

​ # MyGitHub
https://github.com/luozekun1230/MyPyhonProgram/tree/master/Pandas