I am trying to create a list of unique patients who have left comments. The code words fine until I upload to heroku where it doesnt work in postgresql. This
I have dataframe like this: Date ID Age Gender Fruits 1.1.19 1 50 F Apple 2.1.19 1 50
I have a simple query in PostgreSQL which is ok when I run it without any query parameters : select date_trunc('week', action_time),count(*) from event
I'm using the pandas groupby+agg functionality to generate nice reports aggs_dict = {'a':['mean', 'std'], 'b': 'size'} df.groupby('year').agg(aggs_dict) I wo
I have some difficulties with mySQL commands that I want to do. SELECT a.timestamp, name, count(b.name) FROM time a, id b WHERE a.user = b.user AND a.id =
Assume that I have a set of data pair where index 0 is the value and index 1 is the type: input = [ ('11013331', 'KAT'), ('9085267', 'NOT
From two columns in my table I want to get a unified count for the values in these columns. As an example, two columns are: Table: reports | type