verticapy.vDataFrame.datecol#

vDataFrame.datecol() → list#

Returns a list of the vDataColumns of type date in the vDataFrame.

Returns#

List: List of all vDataColumns of type date.

Examples#

We import verticapy:

import verticapy as vp

Hint

By assigning an alias to verticapy, we mitigate the risk of code collisions with other libraries. This precaution is necessary because verticapy 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 from verticapy are used as intended without interfering with functions from other libraries.

Let’s create a small dataset:

data = vp.vDataFrame(
    {
        "empid": ['1', '2', '3', '4'],
        "dob": ['1993-01-01', '1988-01-01', '1992-01-01', '1989-01-01'],
        "doj": ['2022-01-01', '2023-01-01', '2022-01-01', '2023-01-01'],
        "emp_cat":[933, 945, 723, 799],
    }
)
data

	Abc empid Varchar(1) 100%	...	Abc dob Varchar(10) 100%	123 emp_cat Integer 100%
1	1	...	1993-01-01	933
2	2	...	1988-01-01	945
3	3	...	1992-01-01	723
4	4	...	1989-01-01	799

Let’s set the data type of dob and doj to date.

data["dob"].astype("date")
data["doj"].astype("date")

Let’s retrieve the date type vcolumns in the dataset.

data.datecol()
Out[2]: ['"dob"', '"doj"']