How to create a SQLite3 table with column names from a list?

Question

I'm storing patients' daily blood pressure data in an SQLite3 table. Each patient corresponds to a row, each date corresponds to a column. How do I initialize this table with the column names being the dates from a Python Pandas series? Perhaps something like:

DATE_LIST = pandas.date_range(start_date, end_date)
cursor.execute('''CREATE TABLE bloodpressure DATE_LIST REAL''')

The above will create a table with a single column named DATE_LIST, which is not what I want. I want to use the dates in DATE_LIST as column names.

Answer 1

You are breaking the 1NF of databases. Consider restructuring the database to follow the normal form.

In simpler terms, each row should be a patients blood pressure at some date.

patient_id | bloodpressure | date
-----------+---------------+-----------
101        | 120/80        | 2016-08-04
101        | 130/84        | 2016-08-03  
102        | 150/90        | 2016-08-03

The SQL statement to create this could look something like

CREATE TABLE bloodpressure (
    patient_id integer,
    bloodpressure text,
    date text,
    primary key(patient_id)
)