Use the var() function to return column-wise unbiased variance value of the DataFrame.
# Create teradataml dataframe.
>>> df1 = DataFrame("sales")
>>> print(df1)
Feb Jan Mar Apr datetime
accounts
Blue Inc 90.0 50 95 101 04/01/2017
Orange Inc 210.0 None None 250 04/01/2017
Red Inc 200.0 150 140 None 04/01/2017
Yellow Inc 90.0 None None None 04/01/2017
Jones LLC 200.0 150 140 180 04/01/2017
Alpha Co 210.0 200 215 250 04/01/2017
# Prints unbiased variance of each column(with supported data types).
>>> df3 = df1.select(["accounts","Feb","Jan","Mar","Apr"])
>>> df3.var()
var_Feb var_Jan var_Mar var_Apr
0 3546.666667 3958.333333 2475.0 5036.916667
>>>