vDataFrame.load

In [ ]:
vDataFrame.load(offset: int = -1)

Loads a previous structure of the vDataFrame.

Parameters

Name Type Optional Description
offset
int
✓
offset of the saving. Example: -1 to load the last saving.

Returns

vDataFrame : vDataFrame of the loading.

Example

In [24]:
from verticapy.datasets import load_titanic
titanic = load_titanic()
display(titanic)
123
fare
Numeric(10,5)
123
survived
Int
Abc
sex
Varchar(20)
Abc
boat
Varchar(100)
123
pclass
Int
123
age
Numeric(6,3)
Abc
ticket
Varchar(36)
Abc
Varchar(164)
Abc
embarked
Varchar(20)
Abc
cabin
Varchar(30)
123
body
Int
123
parch
Int
Abc
home.dest
Varchar(100)
123
sibsp
Int
1151.550000female[null]12.000113781SC22 C26[null]2Montreal, PQ / Chesterville, ON1
2151.550000male[null]130.000113781SC22 C261352Montreal, PQ / Chesterville, ON1
3151.550000female[null]125.000113781SC22 C26[null]2Montreal, PQ / Chesterville, ON1
40.000000male[null]139.000112050SA36[null]0Belfast, NI0
549.504200male[null]171.000PC 17609C[null]220Montevideo, Uruguay0
6227.525000male[null]147.000PC 17757CC62 C641240New York, NY1
725.925000male[null]1[null]PC 17318S[null][null]0New York, NY0
8247.520800male[null]124.000PC 17558CB58 B60[null]1Montreal, PQ0
975.241700maleA136.00013050CC6[null]0Winnipeg, MN0
1026.000000male[null]125.00013905C[null]1480San Francisco, CA0
1135.500000male[null]145.000113784ST[null]0Trenton, NJ0
1226.550000male[null]142.000110489SD22[null]0London / Winnipeg, MB0
1330.500000male[null]141.000113054SA21[null]0Pomeroy, WA0
1450.495800male[null]148.000PC 17591CB102080Omaha, NE0
1539.600000male[null]1[null]112379C[null][null]0Philadelphia, PA0
1626.550000male[null]145.000113050SB38[null]0Washington, DC0
1731.000000male[null]1[null]113798S[null][null]0[null]0
185.000000male[null]133.000695SB51 B53 B55[null]0New York, NY0
1947.100000male[null]128.000113059S[null][null]0Montevideo, Uruguay0
2047.100000male[null]117.000113059S[null][null]0Montevideo, Uruguay0
2126.000000male[null]149.00019924S[null][null]0Ascot, Berkshire / Rochester, NY0
2278.850000male[null]136.00019877SC461720Little Onn Hall, Staffs1
2361.175000male[null]146.000W.E.P. 5734SE31[null]0Amenia, ND1
240.000000male[null]1[null]112051S[null][null]0Liverpool, England / Belfast0
25136.779200male[null]127.00013508CC89[null]0Los Angeles, CA1
2652.000000male[null]1[null]110465SA14[null]0Stoughton, MA0
2725.587500male[null]147.0005727SE58[null]0Victoria, BC0
2883.158300male[null]137.000PC 17756CE52[null]1Lakewood, NJ1
2926.550000male[null]1[null]113791S[null][null]0Roachdale, IN0
3071.000000male[null]170.000WE/P 5735SB222691Milwaukee, WI1
3171.283300male[null]139.000PC 17599CC85[null]0New York, NY1
3252.000000male[null]131.000F.C. 12750SB71[null]0Montreal, PQ1
33106.425000male[null]150.000PC 17761CC86620Deephaven, MN / Cedar Rapids, IA1
3429.700000male[null]139.000PC 17580CA181330Philadelphia, PA0
3531.679200female[null]136.000PC 17531CA29[null]0New York, NY0
36221.779200male[null]1[null]PC 17483SC95[null]0[null]0
3727.750000male[null]130.000113051CC111[null]0New York, NY0
38263.000000male[null]119.00019950SC23 C25 C27[null]2Winnipeg, MB3
39263.000000male[null]164.00019950SC23 C25 C27[null]4Winnipeg, MB1
4026.550000male[null]1[null]113778SD34[null]0Westcliff-on-Sea, Essex0
410.000000male[null]1[null]112058SB102[null]0[null]0
4253.100000male[null]137.000113803SC123[null]0Scituate, MA1
4338.500000male[null]147.000111320SE632750St Anne's-on-Sea, Lancashire0
4479.200000male[null]124.000PC 17593CB86[null]0[null]0
4534.654200male[null]171.000PC 17754CA5[null]0New York, NY0
46153.462500male[null]138.000PC 17582SC911471Winnipeg, MB0
4779.200000male[null]146.000PC 17593CB82 B84[null]0New York, NY0
4842.400000male[null]1[null]113796S[null][null]0[null]0
4983.475000male[null]145.00036973SC83[null]0New York, NY1
500.000000male[null]140.000112059SB941100[null]0
5193.500000male[null]155.00012749SB693071Montreal, PQ1
5242.500000male[null]142.000113038SB11[null]0London / Middlesex0
5351.862500male[null]1[null]17463SE46[null]0Brighton, MA0
5450.000000male[null]155.000680SC39[null]0London / Birmingham0
5552.000000male[null]142.000113789S[null]380New York, NY1
5630.695800male141[null]PC 17600C[null][null]0New York, NY0
5728.712500female[null]150.000PC 17595CC49[null]0Paris, France New York, NY0
5826.000000male[null]146.000694S[null]800Bennington, VT0
5926.000000male[null]150.000113044SE60[null]0London0
60211.500000male[null]132.500113503CC132450[null]0
6129.700000male[null]158.00011771CB372580Buffalo, NY0
6251.862500male[null]141.00017464SD21[null]0Southington / Noank, CT1
6326.550000male[null]1[null]113028SC124[null]0Portland, OR0
6427.720800male[null]1[null]PC 17612C[null][null]0Chicago, IL0
6530.000000male[null]129.000113501SD61260Springfield, MA0
6645.500000male[null]130.000113801S[null][null]0London / New York, NY0
6726.000000male[null]130.000110469SC106[null]0Brockton, MA0
6853.100000male[null]119.000113773SD30[null]0New York, NY1
6975.241700male[null]146.00013050CC62920Vancouver, BC0
7051.862500male[null]154.00017463SE461750Dorchester, MA0
7182.170800male[null]128.000PC 17604C[null][null]0New York, NY1
7226.550000male[null]165.00013509SE382490East Bridgewater, MA0
7390.000000male[null]144.00019928QC782300Fond du Lac, WI2
7430.500000male[null]155.000113787SC30[null]0Montreal, PQ0
7542.400000male[null]147.000113796S[null][null]0Washington, DC0
7629.700000male[null]137.000PC 17596CC118[null]1Brooklyn, NY0
77113.275000male[null]158.00035273CD481222Lexington, MA0
7826.000000male[null]164.000693S[null]2630Isle of Wight, England0
7961.979200male[null]165.000113509CB302341Providence, RI0
8027.720800male[null]128.500PC 17562CD431890?Havana, Cuba0
810.000000male[null]1[null]112052S[null][null]0Belfast0
8228.500000male[null]145.500113043SC1241660Surbiton Hill, Surrey0
8393.500000male[null]123.00012749SB24[null]0Montreal, PQ0
8466.600000male[null]129.000113776SC2[null]0Isleworth, England1
85108.900000male[null]118.000PC 17758CC65[null]0Madrid, Spain1
8652.000000male[null]147.000110465SC1102070Worcester, MA0
870.000000male[null]138.00019972S[null][null]0Rotterdam, Netherlands0
88135.633300male[null]122.000PC 17760C[null]2320[null]0
89227.525000male[null]1[null]PC 17757C[null][null]0[null]0
9050.495800male[null]131.000PC 17590SA24[null]0Trenton, NJ0
9150.000000male[null]1[null]113767SA32[null]0Seattle, WA0
9240.125000male[null]136.00013049CA10[null]0Winnipeg, MB0
9359.400000male[null]155.000PC 17603C[null][null]0New York, NY1
9426.550000male[null]133.000113790S[null]1090London0
95262.375000male[null]161.000PC 17608CB57 B59 B63 B66[null]3Haverford, PA / Cooperstown, NY1
9655.900000male[null]150.00013507SE44[null]0Duluth, MN1
9726.550000male[null]156.000113792S[null][null]0New York, NY0
9830.695800male[null]156.00017764CA7[null]0St James, Long Island, NY0
9960.000000male[null]124.00013695SC31[null]0Huntington, WV1
10026.000000male[null]1[null]113056SA19[null]0Streatham, Surrey0
Rows: 1-100 of 1234 | Columns: 14
In [25]:
# Saving the current structure
titanic.save()
# Doing some operations
titanic.filter("age < 30")
titanic.normalize()
699 element(s) was/were filtered
123
fare
Float
123
Float
Abc
sex
Varchar(20)
Abc
boat
Varchar(100)
123
pclass
Float
123
age
Float
Abc
ticket
Varchar(36)
Abc
Varchar(164)
Abc
embarked
Varchar(20)
Abc
cabin
Varchar(30)
123
body
Float
123
Float
Abc
Varchar(100)
123
Float
12.8959925558008394967857898834female[null]-2.02435542526179644948312755472-2.3123284327661730051138959169113781SC22 C26[null]
22.8959925558008394967857898834female[null]-2.024355425261796449483127554720.6963636857902133001427347010113781SC22 C26[null]
35.1544300297453577417916278507male[null]-2.024355425261796449483127554720.5655509849834138955663594568PC 17558CB58 B60[null]
4-0.0585188669833226198213755960male[null]-2.024355425261796449483127554720.696363685790213300142734701013905C[null]-0.191114564199970538205291729
50.4380178994105110771950417008male[null]-2.024355425261796449483127554721.0888017882106115138718604338113059S[null][null]
60.4380178994105110771950417008male[null]-2.02435542526179644948312755472-0.3501379206641819364682672530113059S[null][null]
72.5483979932866196497767805655male[null]-2.024355425261796449483127554720.957989087403812109295485189613508CC89[null]
85.5186950493834350196521267426male[null]-2.02435542526179644948312755472-0.088512519050583127315516764519950SC23 C25 C27[null]
91.1934126956779073650730983466male[null]-2.024355425261796449483127554720.5655509849834138955663594568PC 17593CB86[null]
100.0356113256979728677646750763male[null]-2.024355425261796449483127554721.2196144890174109184482356781113501SD6-0.402094083101734665962794465
110.5792131884324543085741177093male[null]-2.02435542526179644948312755472-0.0885125190505831273155167645113773SD30[null]
121.2633231897823055237032581810male[null]-2.024355425261796449483127554721.0888017882106115138718604338PC 17604C[null][null]
13-0.0180240580918293010618565968male[null]-2.024355425261796449483127554721.1542081386140112161600480559PC 17562CD430.202074539207862608979145187
141.5299281345135387331932295004male[null]-2.024355425261796449483127554720.434738284176614490989984212512749SB24[null]
150.8969025887318265791770387286male[null]-2.024355425261796449483127554721.2196144890174109184482356781113776SC2[null]
161.8923293763365263603995245891male[null]-2.02435542526179644948312755472-0.2193252198573825318918920088PC 17758CC65[null]
172.5214320463382455249705666991male[null]-2.024355425261796449483127554720.3039255833698150864136089683PC 17760C[null]0.614443598879492495050627806
180.7415877708076890246600551192male[null]-2.024355425261796449483127554720.565550984983413895566359456813695SC31[null]
191.1484066973021629600710178689male[null]-2.024355425261796449483127554720.173112882563015681837233724035281SD260.010274976569895220108688155
204.3067688186117556169817243357male[null]-2.024355425261796449483127554720.9579890874038121092954851896113503CC82[null]
214.3029447795340779877985410272female2-2.024355425261796449483127554721.219614489017410918448235678124160SB5[null]
222.8959925558008394967857898834male11-2.02435542526179644948312755472-2.4536061496375163620563811807113781SC22 C26[null]
234.6838779030411956641233398420female4-2.02435542526179644948312755472-0.2193252198573825318918920088PC 17757CC62 C64[null]
240.9604404687917010332976229325female9-2.024355425261796449483127554720.5655509849834138955663594568PC 17477CB35[null]
250.0356113256979728677646750763male5-2.024355425261796449483127554720.8271763865970127047191099453111369CC148[null]
264.5486645877641487609803573536female8-2.024355425261796449483127554721.2196144890174109184482356781PC 17483SC97[null]
271.4729605419028187041061516335male7-2.024355425261796449483127554720.696363685790213300142734701011967CB49[null]
281.4729605419028187041061516335female7-2.02435542526179644948312755472-0.088512519050583127315516764511967CB49[null]
29-0.0455759654896444902782936286maleD-2.024355425261796449483127554721.0888017882106115138718604338110564SC52[null]
300.6239250299560696651774917787female6-2.024355425261796449483127554720.3039255833698150864136089683113505SE33[null]
312.1535406610271213384508152050male4-2.02435542526179644948312755472-1.1350141255049783639265187186113760SB96 B98[null]
322.1535406610271213384508152050female4-2.02435542526179644948312755472-0.7425760230845801501973929858113760SB96 B98[null]
330.5792131884324543085741177093male5-2.024355425261796449483127554720.9579890874038121092954851896113806SE8[null]
342.5483979932866196497767805655female4-2.024355425261796449483127554720.827176386597012704719109945313508CC89[null]
352.8959925558008394967857898834female11-2.024355425261796449483127554720.3039255833698150864136089683113781S[null][null]
360.0473775997831348037129314104male3-2.024355425261796449483127554720.9579890874038121092954851896113804S[null][null]
370.5533273854450980494879537744female3-2.024355425261796449483127554720.9579890874038121092954851896F.C. 12750SB71[null]
380.6709901262967174089705171149female3-2.02435542526179644948312755472-0.350137920664181936468267253017474SB20[null]
391.2559692684790793137355979722male5-2.02435542526179644948312755472-2.050703031152574195961145428433638SA34[null]
405.1544300297453577417916278507female6-2.024355425261796449483127554720.9579890874038121092954851896PC 17558CB58 B60[null]
411.2865615811005003472010644408female7-2.024355425261796449483127554720.434738284176614490989984212511767CC54[null]
425.5186950493834350196521267426female10-2.024355425261796449483127554720.565550984983413895566359456819950SC23 C25 C27[null]
435.5186950493834350196521267426female10-2.024355425261796449483127554721.088801788210611513871860433819950SC23 C25 C27[null]
445.5186950493834350196521267426female10-2.024355425261796449483127554720.434738284176614490989984212519950SC23 C25 C27[null]
450.4944960150192883697466721042female5-2.024355425261796449483127554720.303925583369815086413608968313568CB39[null]
460.7274682419054947015221475183female7-2.024355425261796449483127554720.3039255833698150864136089683112378C[null][null]
470.0356113256979728677646750763female3-2.02435542526179644948312755472-0.0885125190505831273155167645112053SB42[null]
480.8206171273280876836501136125male7-2.024355425261796449483127554720.4347382841766144909899842125PC 17759CD10 D12[null]
490.6343193564829017193941814242male5-2.024355425261796449483127554720.696363685790213300142734701011765CE50[null]
500.6343193564829017193941814242female5-2.024355425261796449483127554720.696363685790213300142734701011765CE50[null]
511.1352684756586711423911948463male3-2.024355425261796449483127554720.9579890874038121092954851896PC 17572CD49[null]
521.2865615811005003472010644408female7-2.024355425261796449483127554720.565550984983413895566359456811767CC54[null]
530.6940331974650985443315823195female4-2.02435542526179644948312755472-0.4809506214709813410446424973111361CB18[null]
540.2568172784990172635918941564female9-2.02435542526179644948312755472-0.4809506214709813410446424973PC 17592SD28[null]
551.1641923306148162133391985667female10-2.024355425261796449483127554720.173112882563015681837233724013502SD9[null]
564.3029447795340779877985410272female2-2.02435542526179644948312755472-0.611763322277780745621017741624160SB5[null]
571.3652002973212716299176408237female8-2.02435542526179644948312755472-0.4809506214709813410446424973110152SB79[null]
580.5792131884324543085741177093female10-2.02435542526179644948312755472-0.2193252198573825318918920088113773SD30[null]
591.9952842745816932999467675120female6-2.024355425261796449483127554720.434738284176614490989984212535273CD36[null]
60-0.0518520960866698669130935572female5-2.02435542526179644948312755472-0.088512519050583127315516764511752SD47[null]
610.7881633901463940319176329919female5-2.024355425261796449483127554720.3039255833698150864136089683113509CB36[null]
620.8969025887318265791770387286female8-2.024355425261796449483127554720.3039255833698150864136089683113776SC2[null]
631.8923293763365263603995245891female8-2.02435542526179644948312755472-0.3501379206641819364682672530PC 17758CC65[null]
645.5039872067769825997168063251male4-2.02435542526179644948312755472-0.8733887238913795547737682301PC 17608CB57 B59 B63 B66[null]
655.5039872067769825997168063251female4-2.02435542526179644948312755472-0.2193252198573825318918920088PC 17608CB57 B59 B63 B66[null]
660.9604404687917010332976229325female9-2.024355425261796449483127554720.5655509849834138955663594568PC 17477CB35[null]
670.1650403406347541631954947509male7-2.024355425261796449483127554721.0888017882106115138718604338113788SA6[null]
680.7415877708076890246600551192female6-2.02435542526179644948312755472-0.219325219857382531891892008813695SC31[null]
691.2655799611518395830181337459male7-2.024355425261796449483127554720.565550984983413895566359456821228SB45[null]
701.2655799611518395830181337459female7-2.024355425261796449483127554720.434738284176614490989984212521228SB45[null]
712.4947626094968174809502488923male3-2.02435542526179644948312755472-1.789077629538975386808394939916966CE34[null]
721.2040023423545531074265290473female8-2.02435542526179644948312755472-0.2193252198573825318918920088110413SE68[null]
731.9390014791227296955318781637maleB-2.02435542526179644948312755472-0.350137920664181936468267253017421CC70[null]
74-0.0455759654896444902782936286female8 10-2.024355425261796449483127554720.1731128825630156818372337240113795S[null][null]
750.7740438612441997087797253910maleA-2.024355425261796449483127554720.1731128825630156818372337240PC 17597C[null][null]
76-0.3997408154530187623208092834male[null]-0.65169363500189931946852766506-0.2193252198573825318918920088231945S[null][null]
77-0.4232733636233426342173219515male[null]-0.651693635001899319468527665060.6963636857902133001427347010C.A. 34050S[null][null]
78-0.3997408154530187623208092834male[null]-0.65169363500189931946852766506-0.219325219857382531891892008829108S[null][null]
79-0.4232733636233426342173219515male[null]-0.651693635001899319468527665060.4347382841766144909899842125C.A. 31030S[null][null]
80-0.4232733636233426342173219515male[null]-0.651693635001899319468527665061.0888017882106115138718604338C.A./SOTON 34068S[null][null]
81-0.0585188669833226198213755960male[null]-0.651693635001899319468527665061.0888017882106115138718604338244358S[null][null]
82-0.3644419931975329544760402813male[null]-0.651693635001899319468527665060.434738284176614490989984212528425S[null][null]
83-0.3644419931975329544760402813male[null]-0.651693635001899319468527665060.8271763865970127047191099453237670S[null][null]
84-0.3644419931975329544760402813male[null]-0.651693635001899319468527665060.9579890874038121092954851896220367S[null][null]
85-0.0585188669833226198213755960male[null]-0.651693635001899319468527665060.6963636857902133001427347010236853S[null][null]
86-0.3644419931975329544760402813male[null]-0.651693635001899319468527665060.6963636857902133001427347010234686S[null]-0.680203448926787379824957162
87-0.3644419931975329544760402813male[null]-0.65169363500189931946852766506-0.088512519050583127315516764528424S[null]-1.437811721346758565863262439
88-0.0585188669833226198213755960female[null]-0.651693635001899319468527665061.2196144890174109184482356781SC/AH 29037S[null][null]
89-0.0585188669833226198213755960male[null]-0.651693635001899319468527665061.21961448901741091844823567812003S[null][null]
90-0.4232733636233426342173219515male[null]-0.651693635001899319468527665061.2196144890174109184482356781W./C. 14263S[null][null]
91-0.3644419931975329544760402813male[null]-0.651693635001899319468527665061.0888017882106115138718604338248740S[null][null]
921.0592771711070612952629761385male[null]-0.65169363500189931946852766506-0.2193252198573825318918920088S.O.C. 14879S[null][null]
931.0592771711070612952629761385male[null]-0.65169363500189931946852766506-0.3501379206641819364682672530S.O.C. 14879S[null][null]
940.0709101479534586756094440785male[null]-0.651693635001899319468527665060.6963636857902133001427347010C.A. 31029S[null][null]
951.0592771711070612952629761385male[null]-0.65169363500189931946852766506-0.2193252198573825318918920088S.O.C. 14879S[null][null]
96-0.3644419931975329544760402813male[null]-0.651693635001899319468527665060.434738284176614490989984212529751S[null][null]
97-0.3644419931975329544760402813male[null]-0.651693635001899319468527665060.1731128825630156818372337240236854S[null][null]
98-0.3644419931975329544760402813male[null]-0.65169363500189931946852766506-0.2193252198573825318918920088236171S[null][null]
99-0.4232733636233426342173219515male[null]-0.65169363500189931946852766506-0.2193252198573825318918920088C.A. 15185S[null][null]
100-0.0585188669833226198213755960male[null]-0.65169363500189931946852766506-0.4809506214709813410446424973239865S[null][null]
Out[25]:
Rows: 1-100 of 535 | Columns: 14
In [26]:
# Loading the last saving
titanic.load()
123
fare
Numeric(10,5)
123
survived
Int
Abc
sex
Varchar(20)
Abc
boat
Varchar(100)
123
pclass
Int
123
age
Numeric(6,3)
Abc
ticket
Varchar(36)
Abc
Varchar(164)
Abc
embarked
Varchar(20)
Abc
cabin
Varchar(30)
123
body
Int
123
parch
Int
Abc
home.dest
Varchar(100)
123
sibsp
Int
1151.550000female[null]12.000113781SC22 C26[null]2Montreal, PQ / Chesterville, ON1
2151.550000male[null]130.000113781SC22 C261352Montreal, PQ / Chesterville, ON1
3151.550000female[null]125.000113781SC22 C26[null]2Montreal, PQ / Chesterville, ON1
40.000000male[null]139.000112050SA36[null]0Belfast, NI0
549.504200male[null]171.000PC 17609C[null]220Montevideo, Uruguay0
6227.525000male[null]147.000PC 17757CC62 C641240New York, NY1
725.925000male[null]1[null]PC 17318S[null][null]0New York, NY0
8247.520800male[null]124.000PC 17558CB58 B60[null]1Montreal, PQ0
975.241700maleA136.00013050CC6[null]0Winnipeg, MN0
1026.000000male[null]125.00013905C[null]1480San Francisco, CA0
1135.500000male[null]145.000113784ST[null]0Trenton, NJ0
1226.550000male[null]142.000110489SD22[null]0London / Winnipeg, MB0
1330.500000male[null]141.000113054SA21[null]0Pomeroy, WA0
1450.495800male[null]148.000PC 17591CB102080Omaha, NE0
1539.600000male[null]1[null]112379C[null][null]0Philadelphia, PA0
1626.550000male[null]145.000113050SB38[null]0Washington, DC0
1731.000000male[null]1[null]113798S[null][null]0[null]0
185.000000male[null]133.000695SB51 B53 B55[null]0New York, NY0
1947.100000male[null]128.000113059S[null][null]0Montevideo, Uruguay0
2047.100000male[null]117.000113059S[null][null]0Montevideo, Uruguay0
2126.000000male[null]149.00019924S[null][null]0Ascot, Berkshire / Rochester, NY0
2278.850000male[null]136.00019877SC461720Little Onn Hall, Staffs1
2361.175000male[null]146.000W.E.P. 5734SE31[null]0Amenia, ND1
240.000000male[null]1[null]112051S[null][null]0Liverpool, England / Belfast0
25136.779200male[null]127.00013508CC89[null]0Los Angeles, CA1
2652.000000male[null]1[null]110465SA14[null]0Stoughton, MA0
2725.587500male[null]147.0005727SE58[null]0Victoria, BC0
2883.158300male[null]137.000PC 17756CE52[null]1Lakewood, NJ1
2926.550000male[null]1[null]113791S[null][null]0Roachdale, IN0
3071.000000male[null]170.000WE/P 5735SB222691Milwaukee, WI1
3171.283300male[null]139.000PC 17599CC85[null]0New York, NY1
3252.000000male[null]131.000F.C. 12750SB71[null]0Montreal, PQ1
33106.425000male[null]150.000PC 17761CC86620Deephaven, MN / Cedar Rapids, IA1
3429.700000male[null]139.000PC 17580CA181330Philadelphia, PA0
3531.679200female[null]136.000PC 17531CA29[null]0New York, NY0
36221.779200male[null]1[null]PC 17483SC95[null]0[null]0
3727.750000male[null]130.000113051CC111[null]0New York, NY0
38263.000000male[null]119.00019950SC23 C25 C27[null]2Winnipeg, MB3
39263.000000male[null]164.00019950SC23 C25 C27[null]4Winnipeg, MB1
4026.550000male[null]1[null]113778SD34[null]0Westcliff-on-Sea, Essex0
410.000000male[null]1[null]112058SB102[null]0[null]0
4253.100000male[null]137.000113803SC123[null]0Scituate, MA1
4338.500000male[null]147.000111320SE632750St Anne's-on-Sea, Lancashire0
4479.200000male[null]124.000PC 17593CB86[null]0[null]0
4534.654200male[null]171.000PC 17754CA5[null]0New York, NY0
46153.462500male[null]138.000PC 17582SC911471Winnipeg, MB0
4779.200000male[null]146.000PC 17593CB82 B84[null]0New York, NY0
4842.400000male[null]1[null]113796S[null][null]0[null]0
4983.475000male[null]145.00036973SC83[null]0New York, NY1
500.000000male[null]140.000112059SB941100[null]0
5193.500000male[null]155.00012749SB693071Montreal, PQ1
5242.500000male[null]142.000113038SB11[null]0London / Middlesex0
5351.862500male[null]1[null]17463SE46[null]0Brighton, MA0
5450.000000male[null]155.000680SC39[null]0London / Birmingham0
5552.000000male[null]142.000113789S[null]380New York, NY1
5630.695800male141[null]PC 17600C[null][null]0New York, NY0
5728.712500female[null]150.000PC 17595CC49[null]0Paris, France New York, NY0
5826.000000male[null]146.000694S[null]800Bennington, VT0
5926.000000male[null]150.000113044SE60[null]0London0
60211.500000male[null]132.500113503CC132450[null]0
6129.700000male[null]158.00011771CB372580Buffalo, NY0
6251.862500male[null]141.00017464SD21[null]0Southington / Noank, CT1
6326.550000male[null]1[null]113028SC124[null]0Portland, OR0
6427.720800male[null]1[null]PC 17612C[null][null]0Chicago, IL0
6530.000000male[null]129.000113501SD61260Springfield, MA0
6645.500000male[null]130.000113801S[null][null]0London / New York, NY0
6726.000000male[null]130.000110469SC106[null]0Brockton, MA0
6853.100000male[null]119.000113773SD30[null]0New York, NY1
6975.241700male[null]146.00013050CC62920Vancouver, BC0
7051.862500male[null]154.00017463SE461750Dorchester, MA0
7182.170800male[null]128.000PC 17604C[null][null]0New York, NY1
7226.550000male[null]165.00013509SE382490East Bridgewater, MA0
7390.000000male[null]144.00019928QC782300Fond du Lac, WI2
7430.500000male[null]155.000113787SC30[null]0Montreal, PQ0
7542.400000male[null]147.000113796S[null][null]0Washington, DC0
7629.700000male[null]137.000PC 17596CC118[null]1Brooklyn, NY0
77113.275000male[null]158.00035273CD481222Lexington, MA0
7826.000000male[null]164.000693S[null]2630Isle of Wight, England0
7961.979200male[null]165.000113509CB302341Providence, RI0
8027.720800male[null]128.500PC 17562CD431890?Havana, Cuba0
810.000000male[null]1[null]112052S[null][null]0Belfast0
8228.500000male[null]145.500113043SC1241660Surbiton Hill, Surrey0
8393.500000male[null]123.00012749SB24[null]0Montreal, PQ0
8466.600000male[null]129.000113776SC2[null]0Isleworth, England1
85108.900000male[null]118.000PC 17758CC65[null]0Madrid, Spain1
8652.000000male[null]147.000110465SC1102070Worcester, MA0
870.000000male[null]138.00019972S[null][null]0Rotterdam, Netherlands0
88135.633300male[null]122.000PC 17760C[null]2320[null]0
89227.525000male[null]1[null]PC 17757C[null][null]0[null]0
9050.495800male[null]131.000PC 17590SA24[null]0Trenton, NJ0
9150.000000male[null]1[null]113767SA32[null]0Seattle, WA0
9240.125000male[null]136.00013049CA10[null]0Winnipeg, MB0
9359.400000male[null]155.000PC 17603C[null][null]0New York, NY1
9426.550000male[null]133.000113790S[null]1090London0
95262.375000male[null]161.000PC 17608CB57 B59 B63 B66[null]3Haverford, PA / Cooperstown, NY1
9655.900000male[null]150.00013507SE44[null]0Duluth, MN1
9726.550000male[null]156.000113792S[null][null]0New York, NY0
9830.695800male[null]156.00017764CA7[null]0St James, Long Island, NY0
9960.000000male[null]124.00013695SC31[null]0Huntington, WV1
10026.000000male[null]1[null]113056SA19[null]0Streatham, Surrey0
Out[26]:
Rows: 1-100 of 1234 | Columns: 14

See Also

vDataFrame.save Saves the current vDataFrame structure.