verticapy.datasets.load_market#
- verticapy.datasets.load_market(schema: str | None = None, name: str = 'market') vDataFrame#
Ingests the market dataset into the Vertica database. This dataset is ideal for data exploration. If a table with the same name and schema already exists, this function creates a vDataFrame from the input relation.
Parameters#
- schema: str, optional
Schema of the new relation. If empty, the temporary schema is used.
- name: str, optional
Name of the new relation.
Returns#
- vDataFrame
the market vDataFrame.
Examples#
If you call this loader without any arguments, the dataset is loaded using the default schema (public).
from verticapy.datasets import load_market load_market()
AbcFormVarchar(32)AbcNameVarchar(32)123PriceFloat(22)1 Beefsteak, Tomatoes 3.15921213872 2 Boiled Spinach 3.8265942203 3 Boiled Spinach 3.83371571139 4 Canned Artichoke 3.3174627313 5 Canned Artichoke 3.38561047493 6 Canned Asparagus 2.5802971683 7 Canned Asparagus 2.7200086787 8 Canned Beets 0.9427311158 9 Canned Beets 1.01727546324 10 Canned Black beans 0.945681045 11 Canned Black beans 0.980579717755 12 Canned Blackeye peas 0.910440813422 13 Canned Blackeye peas 0.9310398825 14 Canned Carrots 0.9231914223 15 Canned Carrots 1.06049032785 16 Canned Collard greens 0.8534190293 17 Canned Collard greens 0.902593822572 18 Canned Corn 0.8537281609 19 Canned Corn 0.903905336945 20 Canned Great northern beans 0.8733322508 21 Canned Great northern beans 0.923915876218 22 Canned Green beans 0.824040727 23 Canned Green beans 0.826939082717 24 Canned Green peas 0.9870138533 25 Canned Green peas 1.01306918204 26 Canned Kale 1.0686461381 27 Canned Lima beans 1.3282126206 28 Canned Lima beans 1.3835692655 29 Canned Mixed Vegetables 1.10743317098 30 Canned Mixed Vegetables 1.1153572418 31 Canned Mixed Vegetables 1.1300407331 32 Canned Mixed Vegetables 1.32442847693 33 Canned Mustard greens 0.8227393425 34 Canned Mustard greens 0.976791582056 35 Canned Navy beans 0.9462506636 36 Canned Navy beans 0.970423315186 37 Canned Pinto beans 0.8013951325 38 Canned Pinto beans 0.866189704098 39 Canned Potatoes 0.9031082713 40 Canned Potatoes 0.965992955381 41 Canned Pumpkin 1.35228040942 42 Canned Pumpkin 1.3781292617 43 Canned Red Kidney Beans 0.861913772 44 Canned Red Kidney Beans 0.901679904473 45 Canned Spinach 1.1345923224 46 Canned Spinach 1.1471519614 47 Canned Tomatoes 0.912876896 48 Canned Tomatoes 0.924836358886 49 Canned Turnip greens 0.7843472032 50 Canned Turnip greens 0.965253514158 51 Canned, Olives 4.18683171458 52 Canned, Olives 5.0861220216 53 Canned, packed in syrup or water Cherries 3.51874337733 54 Canned, packed in syrup or water Cherries 3.7259182628 55 Cooked whole Carrots 0.741539992379 56 Cooked whole Carrots 0.7737514155 57 Dried Apricots 7.3309645323 58 Dried Apricots 7.73397208999 59 Dried Black beans 1.4038762924 60 Dried Black beans 1.48978420263 61 Dried Blackeye peas 1.58990085218 62 Dried Blackeye peas 1.613022434 63 Dried Cranberries 4.6894038279 64 Dried Cranberries 4.78674137766 65 Dried Dates 4.79135143479 66 Dried Dates 5.5117046698 67 Dried Figs 5.7483176391 68 Dried Figs 6.1253708776 69 Dried Great northern beans 1.53402874163 70 Dried Great northern beans 1.5891818482 71 Dried Lentils 1.3850358051 72 Dried Lentils 1.5614348422 73 Dried Lima beans 1.73065564313 74 Dried Lima beans 2.2195369395 75 Dried Mangoes 8.50464930168 76 Dried Mangoes 10.1637125484 77 Dried Navy beans 1.4787507743 78 Dried Navy beans 1.50577973442 79 Dried Papaya 4.56591253937 80 Dried Papaya 5.2722599372 81 Dried Pineapple 5.49708634567 82 Dried Pineapple 5.8687608122 83 Dried Pinto beans 1.085109083 84 Dried Pinto beans 1.20380752717 85 Dried Red Kidney Beans 1.67188888931 86 Dried Red Kidney Beans 1.6865123081 87 Dried (Prunes) Plums 4.03634516164 88 Dried (Prunes) Plums 4.7339261696 89 Florets Broccoli 2.3624557989 90 Florets Broccoli 2.56847143403 91 Florets Cauliflower 3.1279734694 92 Florets Cauliflower 3.27064843515 93 Fresh Acorn squash 1.1193087167 94 Fresh Acorn squash 1.1722478842 95 Fresh Apples 1.56751539145 96 Fresh Apples 1.6155336441 97 Fresh Apricots 3.0400719671 98 Fresh Apricots 3.087137817 99 Fresh Artichoke 2.21305047929 100 Fresh Artichoke 2.3637333814 Rows: 1-100 | Columns: 3