vastorbit.VastFrame.to_csv¶
- VastFrame.to_csv(path: str | None = None, sep: str = ',', na_rep: str | None = None, quotechar: str = '"', usecols: Annotated[str | list[str], 'STRING representing one column or a list of columns'] | None = None, header: bool = True, new_header: list | None = None, order_by: None | Annotated[str | list[str], 'STRING representing one column or a list of columns'] | dict = None, n_files: int = 1) None | str | list[str]¶
Creates a CSV file or folder of CSV files of the current
VastFramerelation.- Parameters:
path (str, optional) –
File / Folder system path.
Warning
Be careful: if a CSV file with the same name exists, it will be overwritten.
sep (str, optional) – Column separator.
na_rep (str, optional) – Missing values representation.
quotechar (str, optional) – Char that will enclose the
strvalues.usecols (SQLColumns, optional) –
VastColumnto select from the finalVastFramerelation. If empty, allVastColumnare selected.header (bool, optional) – If set to
False, no header is written in the CSV file.new_header (list, optional) – List of columns used to replace
VastColumnname in the CSV.order_by (SQLColumns | dict, optional) – List of the
VastColumnused to sort the data, using asc order or adictionaryof all sorting methods. For example, to sort by “column1” ASC and “column2” DESC, write:{"column1": "asc", "column2": "desc"}n_files (int, optional) – Integer greater than or equal to 1, the number of CSV files to generate. If
n_files > 1, you must also setorder_byto sort the data, ideally with a column with unique values (e.g. ID). Greater values ofn_filesdecrease memory usage, but increase execution time.
- Returns:
JSON str or list (
n_files > 1) ifpathis not defined; otherwise, nothing.- Return type:
str or list
Examples
We import
vastorbit:import vastorbit as vo
Hint
By assigning an alias to
vastorbit, we mitigate the risk of code collisions with other libraries. This precaution is necessary because vastorbit uses commonly known function names like “average” and “median”, which can potentially lead to naming conflicts. The use of an alias ensures that the functions fromvastorbitare used as intended without interfering with functions from other libraries.For this example, we will use the Titanic dataset.
import vastorbit.datasets as vod data = vod.load_titanic()
123pclassInteger123survivedIntegerAbcnameVarchar(164)AbcsexVarchar(20)123ageDouble123sibspInteger123parchIntegerAbcticketVarchar(36)123fareDoubleAbccabinVarchar(30)AbcembarkedVarchar(20)AbcboatVarchar(100)123bodyIntegerAbchome.destVarchar(100)1 3 1 McCormack, Mr. Thomas Joseph male [null] 0 0 367228 7.75 [null] Q [null] [null] [null] 2 3 1 McCoy, Miss. Agnes female [null] 2 0 367226 23.25 [null] Q 16 [null] [null] 3 3 1 McCoy, Miss. Alicia female [null] 2 0 367226 23.25 [null] Q 16 [null] [null] 4 3 1 McCoy, Mr. Bernard male [null] 2 0 367226 23.25 [null] Q 16 [null] [null] 5 3 1 McDermott, Miss. Brigdet Delia female [null] 0 0 330932 7.7875 [null] Q 13 [null] [null] 6 3 0 McEvoy, Mr. Michael male [null] 0 0 36568 15.5 [null] Q [null] [null] [null] 7 3 1 McGovern, Miss. Mary female [null] 0 0 330931 7.8792 [null] Q 13 [null] [null] 8 3 1 McGowan, Miss. Anna "Annie" female 15.0 0 0 330923 8.0292 [null] Q [null] [null] [null] 9 3 0 McGowan, Miss. Katherine female 35.0 0 0 9232 7.75 [null] Q [null] [null] [null] 10 3 0 McMahon, Mr. Martin male [null] 0 0 370372 7.75 [null] Q [null] [null] [null] 11 3 0 McNamee, Mr. Neal male 24.0 1 0 376566 16.1 [null] S [null] [null] [null] 12 3 0 McNamee, Mrs. Neal (Eileen O'Leary) female 19.0 1 0 376566 16.1 [null] S [null] 53 [null] 13 3 0 McNeill, Miss. Bridget female [null] 0 0 370368 7.75 [null] Q [null] [null] [null] 14 3 0 Meanwell, Miss. (Marion Ogden) female [null] 0 0 SOTON/O.Q. 392087 8.05 [null] S [null] [null] [null] 15 3 0 Meek, Mrs. Thomas (Annie Louise Rowley) female [null] 0 0 343095 8.05 [null] S [null] [null] [null] 16 3 0 Meo, Mr. Alfonzo male 55.5 0 0 A.5. 11206 8.05 [null] S [null] 201 [null] 17 3 0 Mernagh, Mr. Robert male [null] 0 0 368703 7.75 [null] Q [null] [null] [null] 18 3 1 Midtsjo, Mr. Karl Albert male 21.0 0 0 345501 7.775 [null] S 15 [null] [null] 19 3 0 Miles, Mr. Frank male [null] 0 0 359306 8.05 [null] S [null] [null] [null] 20 3 0 Mineff, Mr. Ivan male 24.0 0 0 349233 7.8958 [null] S [null] [null] [null] 21 3 0 Minkoff, Mr. Lazar male 21.0 0 0 349211 7.8958 [null] S [null] [null] [null] 22 3 0 Mionoff, Mr. Stoytcho male 28.0 0 0 349207 7.8958 [null] S [null] [null] [null] 23 3 0 Mitkoff, Mr. Mito male [null] 0 0 349221 7.8958 [null] S [null] [null] [null] 24 3 1 Mockler, Miss. Helen Mary "Ellie" female [null] 0 0 330980 7.8792 [null] Q 16 [null] [null] 25 3 0 Moen, Mr. Sigurd Hansen male 25.0 0 0 348123 7.65 F G73 S [null] 309 [null] 26 3 1 Moor, Master. Meier male 6.0 0 1 392096 12.475 E121 S 14 [null] [null] 27 3 1 Moor, Mrs. (Beila) female 27.0 0 1 392096 12.475 E121 S 14 [null] [null] 28 3 0 Moore, Mr. Leonard Charles male [null] 0 0 A4. 54510 8.05 [null] S [null] [null] [null] 29 3 1 Moran, Miss. Bertha female [null] 1 0 371110 24.15 [null] Q 16 [null] [null] 30 3 0 Moran, Mr. Daniel J male [null] 1 0 371110 24.15 [null] Q [null] [null] [null] 31 3 0 Moran, Mr. James male [null] 0 0 330877 8.4583 [null] Q [null] [null] [null] 32 3 0 Morley, Mr. William male 34.0 0 0 364506 8.05 [null] S [null] [null] [null] 33 3 0 Morrow, Mr. Thomas Rowan male [null] 0 0 372622 7.75 [null] Q [null] [null] [null] 34 3 1 Moss, Mr. Albert Johan male [null] 0 0 312991 7.775 [null] S B [null] [null] 35 3 1 Moubarek, Master. Gerios male [null] 1 1 2661 15.2458 [null] C C [null] [null] 36 3 1 Moubarek, Master. Halim Gonios ("William George") male [null] 1 1 2661 15.2458 [null] C C [null] [null] 37 3 1 Moubarek, Mrs. George (Omine "Amenia" Alexander) female [null] 0 2 2661 15.2458 [null] C C [null] [null] 38 3 1 Moussa, Mrs. (Mantoura Boulos) female [null] 0 0 2626 7.2292 [null] C [null] [null] [null] 39 3 0 Moutal, Mr. Rahamin Haim male [null] 0 0 374746 8.05 [null] S [null] [null] [null] 40 3 1 Mullens, Miss. Katherine "Katie" female [null] 0 0 35852 7.7333 [null] Q 16 [null] [null] 41 3 1 Mulvihill, Miss. Bertha E female 24.0 0 0 382653 7.75 [null] Q 15 [null] [null] 42 3 0 Murdlin, Mr. Joseph male [null] 0 0 A./5. 3235 8.05 [null] S [null] [null] [null] 43 3 1 Murphy, Miss. Katherine "Kate" female [null] 1 0 367230 15.5 [null] Q 16 [null] [null] 44 3 1 Murphy, Miss. Margaret Jane female [null] 1 0 367230 15.5 [null] Q 16 [null] [null] 45 3 1 Murphy, Miss. Nora female [null] 0 0 36568 15.5 [null] Q 16 [null] [null] 46 3 0 Myhrman, Mr. Pehr Fabian Oliver Malkolm male 18.0 0 0 347078 7.75 [null] S [null] [null] [null] 47 3 0 Naidenoff, Mr. Penko male 22.0 0 0 349206 7.8958 [null] S [null] [null] [null] 48 3 1 Najib, Miss. Adele Kiamie "Jane" female 15.0 0 0 2667 7.225 [null] C C [null] [null] 49 3 1 Nakid, Miss. Maria ("Mary") female 1.0 0 2 2653 15.7417 [null] C C [null] [null] 50 3 1 Nakid, Mr. Sahid male 20.0 1 1 2653 15.7417 [null] C C [null] [null] 51 3 1 Nakid, Mrs. Said (Waika "Mary" Mowad) female 19.0 1 1 2653 15.7417 [null] C C [null] [null] 52 3 0 Nancarrow, Mr. William Henry male 33.0 0 0 A./5. 3338 8.05 [null] S [null] [null] [null] 53 3 0 Nankoff, Mr. Minko male [null] 0 0 349218 7.8958 [null] S [null] [null] [null] 54 3 0 Nasr, Mr. Mustafa male [null] 0 0 2652 7.2292 [null] C [null] [null] [null] 55 3 0 Naughton, Miss. Hannah female [null] 0 0 365237 7.75 [null] Q [null] [null] [null] 56 3 0 Nenkoff, Mr. Christo male [null] 0 0 349234 7.8958 [null] S [null] [null] [null] 57 3 1 Nicola-Yarred, Master. Elias male 12.0 1 0 2651 11.2417 [null] C C [null] [null] 58 3 1 Nicola-Yarred, Miss. Jamila female 14.0 1 0 2651 11.2417 [null] C C [null] [null] 59 3 0 Nieminen, Miss. Manta Josefina female 29.0 0 0 3101297 7.925 [null] S [null] [null] [null] 60 3 0 Niklasson, Mr. Samuel male 28.0 0 0 363611 8.05 [null] S [null] [null] [null] 61 3 1 Nilsson, Miss. Berta Olivia female 18.0 0 0 347066 7.775 [null] S D [null] [null] 62 3 1 Nilsson, Miss. Helmina Josefina female 26.0 0 0 347470 7.8542 [null] S 13 [null] [null] 63 3 0 Nilsson, Mr. August Ferdinand male 21.0 0 0 350410 7.8542 [null] S [null] [null] [null] 64 3 0 Nirva, Mr. Iisakki Antino Aijo male 41.0 0 0 SOTON/O2 3101272 7.125 [null] S [null] [null] Finland Sudbury, ON 65 3 1 Niskanen, Mr. Juha male 39.0 0 0 STON/O 2. 3101289 7.925 [null] S 9 [null] [null] 66 3 0 Nosworthy, Mr. Richard Cater male 21.0 0 0 A/4. 39886 7.8 [null] S [null] [null] [null] 67 3 0 Novel, Mr. Mansouer male 28.5 0 0 2697 7.2292 [null] C [null] 181 [null] 68 3 1 Nysten, Miss. Anna Sofia female 22.0 0 0 347081 7.75 [null] S 13 [null] [null] 69 3 0 Nysveen, Mr. Johan Hansen male 61.0 0 0 345364 6.2375 [null] S [null] [null] [null] 70 3 0 O'Brien, Mr. Thomas male [null] 1 0 370365 15.5 [null] Q [null] [null] [null] 71 3 0 O'Brien, Mr. Timothy male [null] 0 0 330979 7.8292 [null] Q [null] [null] [null] 72 3 1 O'Brien, Mrs. Thomas (Johanna "Hannah" Godfrey) female [null] 1 0 370365 15.5 [null] Q [null] [null] [null] 73 3 0 O'Connell, Mr. Patrick D male [null] 0 0 334912 7.7333 [null] Q [null] [null] [null] 74 3 0 O'Connor, Mr. Maurice male [null] 0 0 371060 7.75 [null] Q [null] [null] [null] 75 3 0 O'Connor, Mr. Patrick male [null] 0 0 366713 7.75 [null] Q [null] [null] [null] 76 3 0 Odahl, Mr. Nils Martin male 23.0 0 0 7267 9.225 [null] S [null] [null] [null] 77 3 0 O'Donoghue, Ms. Bridget female [null] 0 0 364856 7.75 [null] Q [null] [null] [null] 78 3 1 O'Driscoll, Miss. Bridget female [null] 0 0 14311 7.75 [null] Q D [null] [null] 79 3 1 O'Dwyer, Miss. Ellen "Nellie" female [null] 0 0 330959 7.8792 [null] Q [null] [null] [null] 80 3 1 Ohman, Miss. Velin female 22.0 0 0 347085 7.775 [null] S C [null] [null] 81 3 1 O'Keefe, Mr. Patrick male [null] 0 0 368402 7.75 [null] Q B [null] [null] 82 3 1 O'Leary, Miss. Hanora "Norah" female [null] 0 0 330919 7.8292 [null] Q 13 [null] [null] 83 3 1 Olsen, Master. Artur Karl male 9.0 0 1 C 17368 3.1708 [null] S 13 [null] [null] 84 3 0 Olsen, Mr. Henry Margido male 28.0 0 0 C 4001 22.525 [null] S [null] 173 [null] 85 3 0 Olsen, Mr. Karl Siegwart Andreas male 42.0 0 1 4579 8.4042 [null] S [null] [null] [null] 86 3 0 Olsen, Mr. Ole Martin male [null] 0 0 Fa 265302 7.3125 [null] S [null] [null] [null] 87 3 0 Olsson, Miss. Elina female 31.0 0 0 350407 7.8542 [null] S [null] [null] [null] 88 3 0 Olsson, Mr. Nils Johan Goransson male 28.0 0 0 347464 7.8542 [null] S [null] [null] [null] 89 3 1 Olsson, Mr. Oscar Wilhelm male 32.0 0 0 347079 7.775 [null] S A [null] [null] 90 3 0 Olsvigen, Mr. Thor Anderson male 20.0 0 0 6563 9.225 [null] S [null] 89 Oslo, Norway Cameron, WI 91 3 0 Oreskovic, Miss. Jelka female 23.0 0 0 315085 8.6625 [null] S [null] [null] [null] 92 3 0 Oreskovic, Miss. Marija female 20.0 0 0 315096 8.6625 [null] S [null] [null] [null] 93 3 0 Oreskovic, Mr. Luka male 20.0 0 0 315094 8.6625 [null] S [null] [null] [null] 94 3 0 Osen, Mr. Olaf Elon male 16.0 0 0 7534 9.2167 [null] S [null] [null] [null] 95 3 1 Osman, Mrs. Mara female 31.0 0 0 349244 8.6833 [null] S [null] [null] [null] 96 3 0 O'Sullivan, Miss. Bridget Mary female [null] 0 0 330909 7.6292 [null] Q [null] [null] [null] 97 3 0 Palsson, Master. Gosta Leonard male 2.0 3 1 349909 21.075 [null] S [null] 4 [null] 98 3 0 Palsson, Master. Paul Folke male 6.0 3 1 349909 21.075 [null] S [null] [null] [null] 99 3 0 Palsson, Miss. Stina Viola female 3.0 3 1 349909 21.075 [null] S [null] [null] [null] 100 3 0 Palsson, Miss. Torborg Danira female 8.0 3 1 349909 21.075 [null] S [null] [null] [null] Rows: 1-100 | Columns: 14Note
vastorbit offers a wide range of sample datasets that are ideal for training and testing purposes. You can explore the full list of available datasets in the Datasets, which provides detailed information on each dataset and how to use them effectively. These datasets are invaluable resources for honing your data analysis and machine learning skills within the vastorbit environment.
Let’s do some transformations.
data.get_dummies() data.normalize()
123pclassDecimal(38, 11)123survivedDecimal(38, 11)AbcnameVarchar(164)AbcsexVarchar(20)123ageDouble123sibspDecimal(38, 11)123parchDecimal(38, 12)AbcticketVarchar(36)123fareDoubleAbccabinVarchar(30)AbcembarkedVarchar(20)AbcboatVarchar(100)123bodyDecimal(38, 13)Abchome.destVarchar(100)123pclass_1Integer123pclass_2Integer123sex_femaleInteger123sibsp_0Integer123sibsp_1Integer123sibsp_2Integer123sibsp_3Integer123sibsp_4Integer123sibsp_5Integer123parch_0Integer123parch_1Integer123parch_2Integer123parch_3Integer123parch_4Integer123parch_5Integer123parch_6Integer123embarked_CInteger123embarked_QInteger1 0.84159476919 1.27152032699 McCormack, Mr. Thomas Joseph male [null] -0.47890372851 -0.444829492449 367228 -0.4935497792041573 [null] Q [null] [null] [null] 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 2 0.84159476919 1.27152032699 McCoy, Miss. Agnes female [null] 1.44111152607 -0.444829492449 367226 -0.1940830323324008 [null] Q 16 [null] [null] 0 0 1 0 0 1 0 0 0 1 0 0 0 0 0 0 0 1 3 0.84159476919 1.27152032699 McCoy, Miss. Alicia female [null] 1.44111152607 -0.444829492449 367226 -0.1940830323324008 [null] Q 16 [null] [null] 0 0 1 0 0 1 0 0 0 1 0 0 0 0 0 0 0 1 4 0.84159476919 1.27152032699 McCoy, Mr. Bernard male [null] 1.44111152607 -0.444829492449 367226 -0.1940830323324008 [null] Q 16 [null] [null] 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 1 5 0.84159476919 1.27152032699 McDermott, Miss. Brigdet Delia female [null] -0.47890372851 -0.444829492449 330932 -0.4928252628810805 [null] Q 13 [null] [null] 0 0 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 6 0.84159476919 -0.78585928738 McEvoy, Mr. Michael male [null] -0.47890372851 -0.444829492449 36568 -0.34381640576827904 [null] Q [null] [null] [null] 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 7 0.84159476919 1.27152032699 McGovern, Miss. Mary female [null] -0.47890372851 -0.444829492449 330931 -0.4910535789657166 [null] Q 13 [null] [null] 0 0 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 8 0.84159476919 1.27152032699 McGowan, Miss. Anna "Annie" female -1.0324449076416113 -0.47890372851 -0.444829492449 330923 -0.4881555136734093 [null] Q [null] [null] [null] 0 0 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 9 0.84159476919 -0.78585928738 McGowan, Miss. Katherine female 0.35514377102512806 -0.47890372851 -0.444829492449 9232 -0.4935497792041573 [null] Q [null] [null] [null] 0 0 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 10 0.84159476919 -0.78585928738 McMahon, Mr. Martin male [null] -0.47890372851 -0.444829492449 370372 -0.4935497792041573 [null] Q [null] [null] [null] 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 11 0.84159476919 -0.78585928738 McNamee, Mr. Neal male -0.40803000224157854 0.48110389878 -0.444829492449 376566 -0.33222414459904975 [null] S [null] [null] [null] 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 12 0.84159476919 -0.78585928738 McNamee, Mrs. Neal (Eileen O'Leary) female -0.7549271719082634 0.48110389878 -0.444829492449 376566 -0.33222414459904975 [null] S [null] -1.1035139608573 [null] 0 0 1 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 13 0.84159476919 -0.78585928738 McNeill, Miss. Bridget female [null] -0.47890372851 -0.444829492449 370368 -0.4935497792041573 [null] Q [null] [null] [null] 0 0 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 14 0.84159476919 -0.78585928738 Meanwell, Miss. (Marion Ogden) female [null] -0.47890372851 -0.444829492449 SOTON/O.Q. 392087 -0.4877536486195427 [null] S [null] [null] [null] 0 0 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 15 0.84159476919 -0.78585928738 Meek, Mrs. Thomas (Annie Louise Rowley) female [null] -0.47890372851 -0.444829492449 343095 -0.4877536486195427 [null] S [null] [null] [null] 0 0 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 16 0.84159476919 -0.78585928738 Meo, Mr. Alfonzo male 1.777422166658536 -0.47890372851 -0.444829492449 A.5. 11206 -0.4877536486195427 [null] S [null] 0.4113751162628 [null] 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 17 0.84159476919 -0.78585928738 Mernagh, Mr. Robert male [null] -0.47890372851 -0.444829492449 368703 -0.4935497792041573 [null] Q [null] [null] [null] 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 18 0.84159476919 1.27152032699 Midtsjo, Mr. Karl Albert male -0.6161683040415894 -0.47890372851 -0.444829492449 345501 -0.4930667683221061 [null] S 15 [null] [null] 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 19 0.84159476919 -0.78585928738 Miles, Mr. Frank male [null] -0.47890372851 -0.444829492449 359306 -0.4877536486195427 [null] S [null] [null] [null] 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 20 0.84159476919 -0.78585928738 Mineff, Mr. Ivan male -0.40803000224157854 -0.47890372851 -0.444829492449 349233 -0.4907328597400346 [null] S [null] [null] [null] 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 21 0.84159476919 -0.78585928738 Minkoff, Mr. Lazar male -0.6161683040415894 -0.47890372851 -0.444829492449 349211 -0.4907328597400346 [null] S [null] [null] [null] 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 22 0.84159476919 -0.78585928738 Mionoff, Mr. Stoytcho male -0.13051226650823067 -0.47890372851 -0.444829492449 349207 -0.4907328597400346 [null] S [null] [null] [null] 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 23 0.84159476919 -0.78585928738 Mitkoff, Mr. Mito male [null] -0.47890372851 -0.444829492449 349221 -0.4907328597400346 [null] S [null] [null] [null] 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 24 0.84159476919 1.27152032699 Mockler, Miss. Helen Mary "Ellie" female [null] -0.47890372851 -0.444829492449 330980 -0.4910535789657166 [null] Q 16 [null] [null] 0 0 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 25 0.84159476919 -0.78585928738 Moen, Mr. Sigurd Hansen male -0.3386505683082416 -0.47890372851 -0.444829492449 348123 -0.49548182273236224 F G73 S [null] 1.5168347130802 [null] 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 26 0.84159476919 1.27152032699 Moor, Master. Meier male -1.6568598130416439 -0.47890372851 0.71049155044 392096 -0.40226072249647665 E121 S 14 [null] [null] 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 27 0.84159476919 1.27152032699 Moor, Mrs. (Beila) female -0.19989170044156765 -0.47890372851 0.71049155044 392096 -0.40226072249647665 E121 S 14 [null] [null] 0 0 1 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 28 0.84159476919 -0.78585928738 Moore, Mr. Leonard Charles male [null] -0.47890372851 -0.444829492449 A4. 54510 -0.4877536486195427 [null] S [null] [null] [null] 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 29 0.84159476919 1.27152032699 Moran, Miss. Bertha female [null] 0.48110389878 -0.444829492449 371110 -0.17669464057855688 [null] Q 16 [null] [null] 0 0 1 0 1 0 0 0 0 1 0 0 0 0 0 0 0 1 30 0.84159476919 -0.78585928738 Moran, Mr. Daniel J male [null] 0.48110389878 -0.444829492449 371110 -0.17669464057855688 [null] Q [null] [null] [null] 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 1 31 0.84159476919 -0.78585928738 Moran, Mr. James male [null] -0.47890372851 -0.444829492449 330877 -0.4798651148938821 [null] Q [null] [null] [null] 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 32 0.84159476919 -0.78585928738 Morley, Mr. William male 0.2857643370917911 -0.47890372851 -0.444829492449 364506 -0.4877536486195427 [null] S [null] [null] [null] 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 33 0.84159476919 -0.78585928738 Morrow, Mr. Thomas Rowan male [null] -0.47890372851 -0.444829492449 372622 -0.4935497792041573 [null] Q [null] [null] [null] 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 34 0.84159476919 1.27152032699 Moss, Mr. Albert Johan male [null] -0.47890372851 -0.444829492449 312991 -0.4930667683221061 [null] S B [null] [null] 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 35 0.84159476919 1.27152032699 Moubarek, Master. Gerios male [null] 0.48110389878 0.71049155044 2661 -0.3487276604169759 [null] C C [null] [null] 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 1 0 36 0.84159476919 1.27152032699 Moubarek, Master. Halim Gonios ("William George") male [null] 0.48110389878 0.71049155044 2661 -0.3487276604169759 [null] C C [null] [null] 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 1 0 37 0.84159476919 1.27152032699 Moubarek, Mrs. George (Omine "Amenia" Alexander) female [null] -0.47890372851 1.865812593329 2661 -0.3487276604169759 [null] C C [null] [null] 0 0 1 1 0 0 0 0 0 0 0 1 0 0 0 0 1 0 38 0.84159476919 1.27152032699 Moussa, Mrs. (Mantoura Boulos) female [null] -0.47890372851 -0.444829492449 2626 -0.5036118618990484 [null] C [null] [null] [null] 0 0 1 1 0 0 0 0 0 1 0 0 0 0 0 0 1 0 39 0.84159476919 -0.78585928738 Moutal, Mr. Rahamin Haim male [null] -0.47890372851 -0.444829492449 374746 -0.4877536486195427 [null] S [null] [null] [null] 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 40 0.84159476919 1.27152032699 Mullens, Miss. Katherine "Katie" female [null] -0.47890372851 -0.444829492449 35852 -0.49387243047336754 [null] Q 16 [null] [null] 0 0 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 41 0.84159476919 1.27152032699 Mulvihill, Miss. Bertha E female -0.40803000224157854 -0.47890372851 -0.444829492449 382653 -0.4935497792041573 [null] Q 15 [null] [null] 0 0 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 42 0.84159476919 -0.78585928738 Murdlin, Mr. Joseph male [null] -0.47890372851 -0.444829492449 A./5. 3235 -0.4877536486195427 [null] S [null] [null] [null] 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 43 0.84159476919 1.27152032699 Murphy, Miss. Katherine "Kate" female [null] 0.48110389878 -0.444829492449 367230 -0.34381640576827904 [null] Q 16 [null] [null] 0 0 1 0 1 0 0 0 0 1 0 0 0 0 0 0 0 1 44 0.84159476919 1.27152032699 Murphy, Miss. Margaret Jane female [null] 0.48110389878 -0.444829492449 367230 -0.34381640576827904 [null] Q 16 [null] [null] 0 0 1 0 1 0 0 0 0 1 0 0 0 0 0 0 0 1 45 0.84159476919 1.27152032699 Murphy, Miss. Nora female [null] -0.47890372851 -0.444829492449 36568 -0.34381640576827904 [null] Q 16 [null] [null] 0 0 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 46 0.84159476919 -0.78585928738 Myhrman, Mr. Pehr Fabian Oliver Malkolm male -0.8243066058416003 -0.47890372851 -0.444829492449 347078 -0.4935497792041573 [null] S [null] [null] [null] 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 47 0.84159476919 -0.78585928738 Naidenoff, Mr. Penko male -0.5467888701082525 -0.47890372851 -0.444829492449 349206 -0.4907328597400346 [null] S [null] [null] [null] 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 48 0.84159476919 1.27152032699 Najib, Miss. Adele Kiamie "Jane" female -1.0324449076416113 -0.47890372851 -0.444829492449 2667 -0.5036930077272329 [null] C C [null] [null] 0 0 1 1 0 0 0 0 0 1 0 0 0 0 0 0 1 0 49 0.84159476919 1.27152032699 Nakid, Miss. Maria ("Mary") female -2.0037569827083286 -0.47890372851 1.865812593329 2653 -0.33914665656060783 [null] C C [null] [null] 0 0 1 1 0 0 0 0 0 0 0 1 0 0 0 0 1 0 50 0.84159476919 1.27152032699 Nakid, Mr. Sahid male -0.6855477379749264 0.48110389878 0.71049155044 2653 -0.33914665656060783 [null] C C [null] [null] 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 1 0 51 0.84159476919 1.27152032699 Nakid, Mrs. Said (Waika "Mary" Mowad) female -0.7549271719082634 0.48110389878 0.71049155044 2653 -0.33914665656060783 [null] C C [null] [null] 0 0 1 0 1 0 0 0 0 0 1 0 0 0 0 0 1 0 52 0.84159476919 -0.78585928738 Nancarrow, Mr. William Henry male 0.21638490315845416 -0.47890372851 -0.444829492449 A./5. 3338 -0.4877536486195427 [null] S [null] [null] [null] 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 53 0.84159476919 -0.78585928738 Nankoff, Mr. Minko male [null] -0.47890372851 -0.444829492449 349218 -0.4907328597400346 [null] S [null] [null] [null] 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 54 0.84159476919 -0.78585928738 Nasr, Mr. Mustafa male [null] -0.47890372851 -0.444829492449 2652 -0.5036118618990484 [null] C [null] [null] [null] 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 1 0 55 0.84159476919 -0.78585928738 Naughton, Miss. Hannah female [null] -0.47890372851 -0.444829492449 365237 -0.4935497792041573 [null] Q [null] [null] [null] 0 0 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 56 0.84159476919 -0.78585928738 Nenkoff, Mr. Christo male [null] -0.47890372851 -0.444829492449 349234 -0.4907328597400346 [null] S [null] [null] [null] 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 57 0.84159476919 1.27152032699 Nicola-Yarred, Master. Elias male -1.240583209441622 0.48110389878 -0.444829492449 2651 -0.42608861532982745 [null] C C [null] [null] 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 1 0 58 0.84159476919 1.27152032699 Nicola-Yarred, Miss. Jamila female -1.1018243415749482 0.48110389878 -0.444829492449 2651 -0.42608861532982745 [null] C C [null] [null] 0 0 1 0 1 0 0 0 0 1 0 0 0 0 0 0 1 0 59 0.84159476919 -0.78585928738 Nieminen, Miss. Manta Josefina female -0.06113283257489371 -0.47890372851 -0.444829492449 3101297 -0.49016870302979876 [null] S [null] [null] [null] 0 0 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 60 0.84159476919 -0.78585928738 Niklasson, Mr. Samuel male -0.13051226650823067 -0.47890372851 -0.444829492449 363611 -0.4877536486195427 [null] S [null] [null] [null] 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 61 0.84159476919 1.27152032699 Nilsson, Miss. Berta Olivia female -0.8243066058416003 -0.47890372851 -0.444829492449 347066 -0.4930667683221061 [null] S D [null] [null] 0 0 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 62 0.84159476919 1.27152032699 Nilsson, Miss. Helmina Josefina female -0.26927113437490463 -0.47890372851 -0.444829492449 347470 -0.4915365898477679 [null] S 13 [null] [null] 0 0 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 63 0.84159476919 -0.78585928738 Nilsson, Mr. August Ferdinand male -0.6161683040415894 -0.47890372851 -0.444829492449 350410 -0.4915365898477679 [null] S [null] [null] [null] 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 64 0.84159476919 -0.78585928738 Nirva, Mr. Iisakki Antino Aijo male 0.7714203746251499 -0.47890372851 -0.444829492449 SOTON/O2 3101272 -0.5056250512554379 [null] S [null] [null] Finland Sudbury, ON 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 65 0.84159476919 1.27152032699 Niskanen, Mr. Juha male 0.632661506758476 -0.47890372851 -0.444829492449 STON/O 2. 3101289 -0.49016870302979876 [null] S 9 [null] [null] 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 66 0.84159476919 -0.78585928738 Nosworthy, Mr. Richard Cater male -0.6161683040415894 -0.47890372851 -0.444829492449 A/4. 39886 -0.4925837574400549 [null] S [null] [null] [null] 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 67 0.84159476919 -0.78585928738 Novel, Mr. Mansouer male -0.09582254954156219 -0.47890372851 -0.444829492449 2697 -0.5036118618990484 [null] C [null] 0.2066603761115 [null] 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 1 0 68 0.84159476919 1.27152032699 Nysten, Miss. Anna Sofia female -0.5467888701082525 -0.47890372851 -0.444829492449 347081 -0.4935497792041573 [null] S 13 [null] [null] 0 0 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 69 0.84159476919 -0.78585928738 Nysveen, Mr. Johan Hansen male 2.1590090532918893 -0.47890372851 -0.444829492449 345364 -0.5227719375682561 [null] S [null] [null] [null] 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 70 0.84159476919 -0.78585928738 O'Brien, Mr. Thomas male [null] 0.48110389878 -0.444829492449 370365 -0.34381640576827904 [null] Q [null] [null] [null] 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 1 71 0.84159476919 -0.78585928738 O'Brien, Mr. Timothy male [null] -0.47890372851 -0.444829492449 330979 -0.49201960072981904 [null] Q [null] [null] [null] 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 72 0.84159476919 1.27152032699 O'Brien, Mrs. Thomas (Johanna "Hannah" Godfrey) female [null] 0.48110389878 -0.444829492449 370365 -0.34381640576827904 [null] Q [null] [null] [null] 0 0 1 0 1 0 0 0 0 1 0 0 0 0 0 0 0 1 73 0.84159476919 -0.78585928738 O'Connell, Mr. Patrick D male [null] -0.47890372851 -0.444829492449 334912 -0.49387243047336754 [null] Q [null] [null] [null] 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 74 0.84159476919 -0.78585928738 O'Connor, Mr. Maurice male [null] -0.47890372851 -0.444829492449 371060 -0.4935497792041573 [null] Q [null] [null] [null] 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 75 0.84159476919 -0.78585928738 O'Connor, Mr. Patrick male [null] -0.47890372851 -0.444829492449 366713 -0.4935497792041573 [null] Q [null] [null] [null] 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 76 0.84159476919 -0.78585928738 Odahl, Mr. Nils Martin male -0.4774094361749155 -0.47890372851 -0.444829492449 7267 -0.4650521371631353 [null] S [null] [null] [null] 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 77 0.84159476919 -0.78585928738 O'Donoghue, Ms. Bridget female [null] -0.47890372851 -0.444829492449 364856 -0.4935497792041573 [null] Q [null] [null] [null] 0 0 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 78 0.84159476919 1.27152032699 O'Driscoll, Miss. Bridget female [null] -0.47890372851 -0.444829492449 14311 -0.4935497792041573 [null] Q D [null] [null] 0 0 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 79 0.84159476919 1.27152032699 O'Dwyer, Miss. Ellen "Nellie" female [null] -0.47890372851 -0.444829492449 330959 -0.4910535789657166 [null] Q [null] [null] [null] 0 0 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 80 0.84159476919 1.27152032699 Ohman, Miss. Velin female -0.5467888701082525 -0.47890372851 -0.444829492449 347085 -0.4930667683221061 [null] S C [null] [null] 0 0 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 81 0.84159476919 1.27152032699 O'Keefe, Mr. Patrick male [null] -0.47890372851 -0.444829492449 368402 -0.4935497792041573 [null] Q B [null] [null] 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 82 0.84159476919 1.27152032699 O'Leary, Miss. Hanora "Norah" female [null] -0.47890372851 -0.444829492449 330919 -0.49201960072981904 [null] Q 13 [null] [null] 0 0 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 83 0.84159476919 1.27152032699 Olsen, Master. Artur Karl male -1.448721511241633 -0.47890372851 0.71049155044 C 17368 -0.5820219164477153 [null] S 13 [null] [null] 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 84 0.84159476919 -0.78585928738 Olsen, Mr. Henry Margido male -0.13051226650823067 -0.47890372851 -0.444829492449 C 4001 -0.20809034791188621 [null] S [null] 0.1247744800509 [null] 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 85 0.84159476919 -0.78585928738 Olsen, Mr. Karl Siegwart Andreas male 0.8407998085584869 -0.47890372851 0.71049155044 4579 -0.480910350442641 [null] S [null] [null] [null] 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 86 0.84159476919 -0.78585928738 Olsen, Mr. Ole Martin male [null] -0.47890372851 -0.444829492449 Fa 265302 -0.5020024696400537 [null] S [null] [null] [null] 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 87 0.84159476919 -0.78585928738 Olsson, Miss. Elina female 0.07762603529178022 -0.47890372851 -0.444829492449 350407 -0.4915365898477679 [null] S [null] [null] [null] 0 0 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 88 0.84159476919 -0.78585928738 Olsson, Mr. Nils Johan Goransson male -0.13051226650823067 -0.47890372851 -0.444829492449 347464 -0.4915365898477679 [null] S [null] [null] [null] 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 89 0.84159476919 1.27152032699 Olsson, Mr. Oscar Wilhelm male 0.1470054692251172 -0.47890372851 -0.444829492449 347079 -0.4930667683221061 [null] S A [null] [null] 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 90 0.84159476919 -0.78585928738 Olsvigen, Mr. Thor Anderson male -0.6855477379749264 -0.47890372851 -0.444829492449 6563 -0.4650521371631353 [null] S [null] -0.7350274285848 Oslo, Norway Cameron, WI 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 91 0.84159476919 -0.78585928738 Oreskovic, Miss. Jelka female -0.4774094361749155 -0.47890372851 -0.444829492449 315085 -0.47591988200928775 [null] S [null] [null] [null] 0 0 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 92 0.84159476919 -0.78585928738 Oreskovic, Miss. Marija female -0.6855477379749264 -0.47890372851 -0.444829492449 315096 -0.47591988200928775 [null] S [null] [null] [null] 0 0 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 93 0.84159476919 -0.78585928738 Oreskovic, Mr. Luka male -0.6855477379749264 -0.47890372851 -0.444829492449 315094 -0.47591988200928775 [null] S [null] [null] [null] 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 94 0.84159476919 -0.78585928738 Osen, Mr. Olaf Elon male -0.9630654737082742 -0.47890372851 -0.444829492449 7534 -0.46521249677597637 [null] S [null] [null] [null] 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 95 0.84159476919 1.27152032699 Osman, Mrs. Mara female 0.07762603529178022 -0.47890372851 -0.444829492449 349244 -0.4755180169554212 [null] S [null] [null] [null] 0 0 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 96 0.84159476919 -0.78585928738 O'Sullivan, Miss. Bridget Mary female [null] -0.47890372851 -0.444829492449 330909 -0.4958836877862288 [null] Q [null] [null] [null] 0 0 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 97 0.84159476919 -0.78585928738 Palsson, Master. Gosta Leonard male -1.934377548774992 2.40111915335 0.71049155044 349909 -0.23610497907085695 [null] S [null] -1.6050650742281 [null] 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 98 0.84159476919 -0.78585928738 Palsson, Master. Paul Folke male -1.6568598130416439 2.40111915335 0.71049155044 349909 -0.23610497907085695 [null] S [null] [null] [null] 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 99 0.84159476919 -0.78585928738 Palsson, Miss. Stina Viola female -1.8649981148416548 2.40111915335 0.71049155044 349909 -0.23610497907085695 [null] S [null] [null] [null] 0 0 1 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 100 0.84159476919 -0.78585928738 Palsson, Miss. Torborg Danira female -1.51810094517497 2.40111915335 0.71049155044 349909 -0.23610497907085695 [null] S [null] [null] [null] 0 0 1 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 Rows: 1-100 of 1309 | Columns: 32Let’s create the CSV file of the current
VastFrame.data[0:2].to_csv()
Let’s create 2 CSV files and sort the elements by “name”.
data[0:2].to_csv(n_files = 2, order_by = "name")
Note
In this sample, we only export the first two rows to avoid display problems.
Note
vastorbit simplifies CSV export, which can be useful for exporting data to another environment.