Python ndArray Generation [Different Data Type Columns]
To improve the above ndarray construction, I made a for loop where I used the concatenate function to add a new nan array, previously created with the same length of timestamp vector.
I am trying to generate a ndArray to compare it with an existing one, which is structured as follow:

the first column dtype is 'datetime' (Timestamp('2020-08-29 00:00:00))
all the other n columns dtype are 'float' (nan)

The way I found till now is to define the array as:
dataset = np.array((timestamp_vector, nan_vector, nan_vector, ...), dtype=object)
I do not want to repeat 'nan_vector' n-time. Do you have some advice?