Can we have dynamic parameters when creating a dataframe?

[DeveloperVivek9]

From the documentation,

x = np.arange(2)
y = np.array([10, 20])
z = np.array(['dog', 'cat'])
df_numpy = vaex.from_arrays(x=x, y=y, z=z)

What should be done if we only know the column names and number of columns at runtime?
Example : we will be having column names in a list =['x','y','k'].
How to create a data frame from this?
Sorry for the obvious question but couldn't find a solution.

[DeveloperVivek9]

Easier to create from pandas dataframe

feature_val=[0.5637]*len(required_features)
pandas_df= pd.DataFrame([feature_val], columns=required_features)
pandas_df=vaex.from_pandas(df=pandas_df)
test_df_2 = vaex.concat([df,pandas_df])