tablesample.to_numpy

In [ ]:
tablesample.to_numpy()

Converts the tablesample to a numpy array.

Returns

numpy.array : Numpy Array.

Example

In [13]:
from verticapy.utilities import *
dataset = tablesample(values = {"index": ["region", "price", "quality"],
                                "Banana": ["Brazil", 2.3, 2],
                                "Manguo": ["Columbia", 6.7, 5],
                                "Apple": ["France", 1.5, 2]},)
display(dataset)
Banana
Manguo
Apple
regionBrazilColumbiaFrance
price2.36.71.5
quality252
Rows: 1-3 | Columns: 4
In [14]:
dataset.to_numpy()
Out[14]:
array([['Brazil', 'Columbia', 'France'],
       ['2.3', '6.7', '1.5'],
       ['2', '5', '2']], dtype='<U8')