vDataFrame.to_csv

In [ ]:
vDataFrame.to_csv(path: str = "",
                  sep: str = ",",
                  na_rep: str = "",
                  quotechar: str = '"',
                  usecols: list = [],
                  header: bool = True,
                  new_header: list = [],
                  order_by: Union[list, dict] = [],
                  n_files: int = 1,)

Creates a CSV file or folder of CSV files of the current vDataFrame relation.

Parameters

Name Type Optional Description
path
str
✓
File/Folder system path. Be careful: if a CSV file with the same name exists, it will over-write it.
sep
str
✓
Column separator.
na_rep
str
✓
Missing values representation.
quotechar
str
✓
Char which will enclose the str values.
usecols
list
✓
vcolumns to select from the final vDataFrame relation. If empty, all the vcolumns will be selected.
header
bool
✓
If set to False, no header will be written in the CSV file.
new_header
list
✓
List of columns to use to replace vcolumns name in the CSV.
order_by
dict / list
✓
List of the vcolumns to use to sort the data using asc order or dictionary of all the sorting methods. For example, to sort by "column1" ASC and "column2" DESC, write {"column1": "asc", "column2": "desc"}
n_files
int
✓
Integer greater than or equal to one, the number of CSV files to generate. If n_files is greater than one, you must use order_by to sort the data, ideally with a column of unique values (e.g. ID). Increasing the value of n_files decreases memory usage, but increases execution time.

Returns

str or list : JSON str or list (n_files>1) if 'path' is not defined; otherwise, nothing

Example

In [26]:
from verticapy.datasets import load_titanic
titanic = load_titanic()
display(titanic)
123
pclass
Int
123
survived
Int
Abc
Varchar(164)
Abc
sex
Varchar(20)
123
age
Numeric(6,3)
123
sibsp
Int
123
parch
Int
Abc
ticket
Varchar(36)
123
fare
Numeric(10,5)
Abc
cabin
Varchar(30)
Abc
embarked
Varchar(20)
Abc
boat
Varchar(100)
123
body
Int
Abc
Varchar(100)
110male71.000PC 1760949.5042[null]C[null]22
210male45.00011378435.5TS[null][null]
310male[null]0011379831.0[null]S[null][null]
410male17.00011305947.1[null]S[null][null]
510male27.01013508136.7792C89C[null][null]
610male37.011PC 1775683.1583E52C[null][null]
710male31.010F.C. 1275052.0B71S[null][null]
810male50.010PC 17761106.425C86C[null]62
910female36.000PC 1753131.6792A29C[null][null]
1010male37.01011380353.1C123S[null][null]
1110male24.000PC 1759379.2B86C[null][null]
1210male45.0103697383.475C83S[null][null]
1310male40.0001120590.0B94S[null]110
1410male42.00011303842.5B11S[null][null]
1510male[null]001746351.8625E46S[null][null]
1610male42.01011378952.0[null]S[null]38
1710male[null]00PC 1760030.6958[null]C14[null]
1810male29.00011350130.0D6S[null]126
1910male46.0001305075.2417C6C[null]292
2010male54.0001746351.8625E46S[null]175
2110male47.00011379642.4[null]S[null][null]
2210male58.00235273113.275D48C[null]122
2310male45.50011304328.5C124S[null]166
2410male29.01011377666.6C2S[null][null]
2510male47.00011046552.0C110S[null]207
2610male38.000199720.0[null]S[null][null]
2710male22.000PC 17760135.6333[null]C[null]232
2810male31.000PC 1759050.4958A24S[null][null]
2910male50.0101350755.9E44S[null][null]
3010male56.0001776430.6958A7C[null][null]
3110male57.010PC 17569146.5208B78C[null][null]
3210female63.010PC 17483221.7792C55 C57S[null][null]
3310male61.0003696332.3208D50S[null]46
3410male21.0013528177.2875D26S[null]169
3510male51.001PC 1759761.3792[null]C[null][null]
3611female63.0101350277.9583D7S10[null]
3711female32.0001181376.2917D15C8[null]
3811female58.00011378326.55C103S8[null]
3911female44.000PC 1761027.7208B4C6[null]
4011female41.00016966134.5E40C3[null]
4111female53.000PC 1760627.4458[null]C6[null]
4211male36.001PC 17755512.3292B51 B53 B55C3[null]
4311female58.001PC 17755512.3292B51 B53 B55C3[null]
4411male11.012113760120.0B96 B98S4[null]
4511female76.0101987778.85C46S6[null]
4611female[null]0111350555.0E33S6[null]
4711female39.011PC 1775683.1583E49C14[null]
4811female27.012F.C. 1275052.0B71S3[null]
4911female[null]0017421110.8833[null]C4[null]
5011female35.000113503211.5C130C4[null]
5111female22.00111237859.4[null]C7[null]
5211female25.0101176555.4417E50C5[null]
5311male48.010PC 1757276.7292D33C3[null]
5411female35.0103697383.475C83SD[null]
5511male27.000PC 1757276.7292D49C3[null]
5611female24.0001176783.1583C54C7[null]
5711female52.0111274993.5B69S3[null]
5811female44.00111136157.9792B18C4[null]
5911female15.00124160211.3375B5S2[null]
6011male30.0101323657.75C78C11[null]
6111female31.01035273113.275D36C6[null]
6211female39.000PC 17758108.9C105C8[null]
6311female22.00111350961.9792B36C5[null]
6411male52.00011378630.5C104S6[null]
6511female43.00124160211.3375B3S2[null]
6611female33.00011015286.5B77S8[null]
6711male45.01116966134.5E34C3[null]
6811female40.01116966134.5E34C3[null]
6911male48.0101999652.0C126S5 7[null]
7011female[null]00PC 1758579.2[null]CD[null]
7111female35.000PC 17755512.3292[null]C3[null]
7211female60.01011081375.25D37C5[null]
7311male21.001PC 1759761.3792[null]CA[null]
7420male23.000C.A. 3103010.5[null]S[null][null]
7520male28.00024435826.0[null]S[null][null]
7620male60.0112975039.0[null]S[null][null]
7720female44.01024425226.0[null]S[null][null]
7820male29.010200326.0[null]S[null][null]
7920male18.000S.O.C. 1487973.5[null]S[null][null]
8020male18.000S.O.C. 1487973.5[null]S[null][null]
8120male54.0002840326.0[null]S[null][null]
8220male18.00023617113.0[null]S[null][null]
8320male36.00022923613.0[null]S[null]236
8420male34.0102866421.0[null]S[null][null]
8520male21.0102813311.5[null]S[null][null]
8620male21.0102813411.5[null]S[null][null]
8720male24.00023386613.0[null]S[null]155
8820male34.0001223313.0[null]S[null][null]
8920male30.00025065313.0[null]S[null]75
9020male44.00024874613.0[null]S[null]35
9120male49.01222084565.0[null]S[null][null]
9220male21.020S.O.C. 1487973.5[null]S[null][null]
9320male21.000S.O.C. 1487973.5[null]S[null][null]
9420female60.0102406526.0[null]S[null][null]
9520male24.020C.A. 3102931.5[null]S[null][null]
9620male22.020C.A. 3102931.5[null]S[null][null]
9720male35.00023373412.35[null]Q[null][null]
9820male31.000C.A. 1872310.5[null]S[null]165
9920male36.000SC/Paris 216312.875DC[null][null]
10020male[null]00SC/A.3 286115.5792[null]C[null][null]
Rows: 1-100 | Columns: 14
In [27]:
# Doing some transformations
titanic.get_dummies()
titanic.normalize()
Out[27]:
123
pclass
Float
123
survived
Float
Abc
Varchar(164)
Abc
sex
Varchar(20)
123
age
Float
123
sibsp
Float
123
parch
Float
Abc
ticket
Varchar(36)
123
fare
Float
Abc
cabin
Varchar(30)
Abc
embarked
Varchar(20)
Abc
boat
Varchar(100)
123
body
Float
Abc
Varchar(100)
123
pclass_1
Bool
123
pclass_2
Bool
123
sex_female
Bool
123
sibsp_0
Bool
123
sibsp_1
Bool
123
sibsp_2
Bool
123
sibsp_3
Bool
123
sibsp_4
Bool
123
sibsp_5
Bool
123
parch_0
Bool
123
parch_1
Bool
123
parch_2
Bool
123
parch_3
Bool
123
parch_4
Bool
123
parch_5
Bool
123
parch_6
Bool
123
embarked_C
Bool
123
embarked_Q
Bool
1-1.5245848565393982-0.7573073711539632male1.16710683008162140.47636145253031736-0.4356919561735699PC 177573.676650419644059C62 C64C[null]-0.41567324354899016100010000100000010
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3-1.5245848565393982-0.7573073711539632male-0.426209043026766-0.48414513639519110.7155797224520952PC 175584.056466023486111B58 B60C[null][null]100100000010000010
4-1.5245848565393982-0.7573073711539632male-0.35693443984814044-0.4841451363951911-0.435691956173569913905-0.15127042194615234[null]C[null]-0.16716435063559665100100000100000010
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6-1.5245848565393982-0.7573073711539632male1.0285576237243703-0.4841451363951911-0.4356919561735699113050-0.14082329894466558B38S[null][null]100100000100000000
7-1.5245848565393982-0.7573073711539632male1.09783222690299590.47636145253031736-0.4356919561735699W.E.P. 57340.516870580921659E31S[null][null]100010000100000000
8-1.5245848565393982-0.7573073711539632male[null]-0.4841451363951911-0.4356919561735699113791-0.14082329894466558[null]S[null][null]100100000100000000
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15-1.5245848565393982-0.7573073711539632male0.75145921100986820.47636145253031736-0.4356919561735699174640.33998179373739484D21S[null][null]100010000100000000
16-1.5245848565393982-0.7573073711539632male[null]-0.4841451363951911-0.4356919561735699113028-0.14082329894466558C124S[null][null]100100000100000000
17-1.5245848565393982-0.7573073711539632male-0.149110630312263820.47636145253031736-0.4356919561735699PC 176040.9156809538573234[null]C[null][null]100010000100000010
18-1.5245848565393982-0.7573073711539632male1.7213036555106258-0.4841451363951911-0.4356919561735699113787-0.06579396102489715C30S[null][null]100100000100000000
19-1.5245848565393982-0.7573073711539632male0.47436079829536604-0.48414513639519110.7155797224520952PC 17596-0.08098977629978696C118C[null][null]100100000010000010
20-1.5245848565393982-0.7573073711539632male2.3447750841182557-0.4841451363951911-0.4356919561735699693-0.15127042194615234[null]S[null]1.0236074279077472100100000100000000
21-1.5245848565393982-0.7573073711539632male-0.11447332872295105-0.4841451363951911-0.4356919561735699PC 17562-0.11858422328986436D43C[null]0.2573716747581173100100000100000010
22-1.5245848565393982-0.7573073711539632male[null]-0.4841451363951911-0.4356919561735699PC 177573.676650419644059[null]C[null][null]100100000100000010
23-1.5245848565393982-0.7573073711539632male1.7905782586892514-0.4841451363951911-0.4356919561735699113792-0.14082329894466558[null]S[null][null]100100000100000000
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25-1.5245848565393982-0.7573073711539632male1.30565603643887250.476361452530317360.7155797224520952174211.4610682614576656C68C[null][null]100010000010000010
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28-1.52458485653939821.3193977310771285male-2.02506688438944330.476361452530317361.86685140107776041137812.233522837756867C22 C26S11[null]100010000001000000
29-1.52458485653939821.3193977310771285female1.58275444915337471.4368680414558257-0.4356919561735699117690.33270109874381326C101SD[null]101001000100000000
30-1.52458485653939821.3193977310771285female-0.84185666209851930.47636145253031736-0.4356919561735699PC 177573.676650419644059C62 C64C4[null]101010000100000010
31-1.52458485653939821.3193977310771285male3.4531687349762645-0.4841451363951911-0.435691956173569927042-0.07529134557170328A23SB[null]100100000100000000
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33-1.52458485653939821.3193977310771285male-0.2876598366695149-0.4841451363951911-0.4356919561735699111369-0.07529134557170328C148C5[null]100100000100000010
34-1.52458485653939821.3193977310771285female0.8207338141884938-0.4841451363951911-0.4356919561735699PC 177573.676650419644059[null]C4[null]101100000100000010
35-1.52458485653939821.3193977310771285male-0.356934439848140440.47636145253031736-0.4356919561735699119671.084893954850859B49C7[null]100010000100000010
36-1.52458485653939821.3193977310771285female0.335811591938115-0.4841451363951911-0.4356919561735699PC 177601.931188796524569C99S8[null]101100000100000000
37-1.52458485653939821.3193977310771285female1.0285576237243703-0.4841451363951911-0.4356919561735699PC 176084.338618122556446[null]C4[null]101100000100000010
38-1.52458485653939821.3193977310771285female-0.5647582493840171-0.48414513639519110.71557972245209521135050.3995778817686033E33S6[null]101100000010000000
39-1.52458485653939821.3193977310771285female2.0676766714037536-0.4841451363951911-0.4356919561735699118130.8040088068790675D15C8[null]101100000100000010
40-1.52458485653939821.3193977310771285female-1.11895507481302150.476361452530317361.86685140107776041137601.6342378728534004B96 B98S4[null]101010000001000000
41-1.52458485653939821.3193977310771285female[null]-0.4841451363951911-0.435691956173569917770-0.11858422328986436[null]C5[null]101100000100000010
42-1.52458485653939821.3193977310771285male1.0285576237243703-0.4841451363951911-0.4356919561735699PC 17594-0.08098977629978696A9C7[null]100100000100000010
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44-1.52458485653939821.3193977310771285female2.3447750841182557-0.48414513639519111.8668514010777604PC 177560.9344382883372655E45C14[null]101100000001000010
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54-1.52458485653939821.3193977310771285male-0.49548364620539154-0.48414513639519110.7155797224520952PC 177590.5583418602837427D10 D12C7[null]100100000010000010
55-1.52458485653939821.3193977310771285male-0.356934439848140440.47636145253031736-0.4356919561735699117650.4079678712772518E50C5[null]100010000100000010
56-1.52458485653939821.3193977310771285male[null]-0.4841451363951911-0.435691956173569916988-0.07529134557170328D45S3[null]100100000100000000
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58-1.52458485653939821.3193977310771285female[null]0.47636145253031736-0.4356919561735699174640.33998179373739484D21S8[null]101010000100000000
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60-1.52458485653939821.3193977310771285female1.02855762372437030.47636145253031736-0.4356919561735699117530.3531204755194464D19S5[null]101010000100000000
61-1.52458485653939821.3193977310771285female0.6129100046526171-0.4841451363951911-0.4356919561735699241603.3691725949412104[null]S2[null]101100000100000000
62-1.52458485653939821.3193977310771285female-0.9804058684557703-0.48414513639519110.7155797224520952PC 175920.103259483908252D28S9[null]101100000010000000
63-1.52458485653939821.3193977310771285female-0.6340328525626426-0.4841451363951911-0.4356919561735699135020.8356654890504818D9S10[null]101100000100000000
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65-1.52458485653939821.3193977310771285male0.4050861951167405-0.4841451363951911-0.4356919561735699PC 17473-0.1458094258317388E25S7[null]100100000100000000
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71-1.52458485653939821.3193977310771285female1.65202905233200030.47636145253031736-0.4356919561735699PC 176030.48315486578049727[null]C6[null]101010000100000010
72-1.52458485653939821.3193977310771285female-0.84185666209851931.43686804145582571.8668514010777604PC 176084.338618122556446B57 B59 B63 B66C4[null]101001000001000010
73-1.52458485653939821.3193977310771285female1.2363814332602470.476361452530317363.0181230797034257PC 176084.338618122556446B57 B59 B63 B66C4[null]101010000000100010
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78-1.52458485653939821.3193977310771285female0.61291000465261710.476361452530317360.7155797224520952174211.4610682614576656C68C4[null]101010000010000010
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Rows: 1-100 | Columns: 32
In [33]:
# Creating the CSV file of the current vDataFrame
titanic[0:2].to_csv()
Out[33]:
'"pclass","survived","name","sex","age","sibsp","parch","ticket","fare","cabin","embarked","boat","body","home.dest","pclass_1","pclass_2","sex_female","sibsp_0","sibsp_1","sibsp_2","sibsp_3","sibsp_4","sibsp_5","parch_0","parch_1","parch_2","parch_3","parch_4","parch_5","parch_6","embarked_C","embarked_Q"\n-1.52458485653939825566284767748,-0.757307371153963162979989569746,"Astor, Col. John Jacob","male",1.1671068300816214700423585287,0.476361452530317344428951316723,-0.435691956173569945178825405433,"PC 17757",3.6766504196440590399722506719,"C62 C64","C",,-0.41567324354899014736732149,"New York, NY",1,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0\n-1.52458485653939825566284767748,-0.757307371153963162979989569746,"Baumann, Mr. John D","male",,-0.484145136395191051224867122640,-0.435691956173569945178825405433,"PC 17318",-0.1526950296281732549424535906,,"S",,,"New York, NY",1,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0'
In [34]:
titanic[0:2].to_csv(n_files = 2, order_by="name")
Out[34]:
['"pclass","survived","name","sex","age","sibsp","parch","ticket","fare","cabin","embarked","boat","body","home.dest","pclass_1","pclass_2","sex_female","sibsp_0","sibsp_1","sibsp_2","sibsp_3","sibsp_4","sibsp_5","parch_0","parch_1","parch_2","parch_3","parch_4","parch_5","parch_6","embarked_C","embarked_Q"\n-1.52458485653939825566284767748,-0.757307371153963162979989569746,"Astor, Col. John Jacob","male",1.1671068300816214700423585287,0.476361452530317344428951316723,-0.435691956173569945178825405433,"PC 17757",3.6766504196440590399722506719,"C62 C64","C",,-0.41567324354899014736732149,"New York, NY",1,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,1,0\n-1.52458485653939825566284767748,-0.757307371153963162979989569746,"Baumann, Mr. John D","male",,-0.484145136395191051224867122640,-0.435691956173569945178825405433,"PC 17318",-0.1526950296281732549424535906,,"S",,,"New York, NY",1,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0']

See Also

vDataFrame.to_db Saves the vDataFrame current relation to the Vertica Database.
vDataFrame.to_json Creates a JSON file of the current vDataFrame relation.