Pandas read_sql with parameters
Are there any examples of how to pass parameters with an SQL query in Pandas?
Are there any examples of how to pass parameters with an SQL query in Pandas?
I’m using virtualenv
and I need to install “psycopg2”.
What’s the best way to make psycopg2 pass parameterized queries to PostgreSQL? I don’t want to write my own escpaing mechanisms or adapters and the psycopg2 source code and examples are difficult to read in a web browser.
I have the following code, using pscyopg2:
I got a lot of errors with the message :
I’m trying to build a Flask app using Postgres with Docker. I’d like to connect to an AWS RDS instance of Postgres, but use Docker for my Flask app. However, when trying to set up psycopg2
it runs into an error because it can’t find pg_config
. Here’s the error:
I’m trying to install Psycopg2
on my Macbook, but I am getting an error. I found a lot of the same questions on StackOverflow but no answer seems to work.
I’m using:
I’m new to Python and Django.
I want to upload a huge number of entries (~600k) into a simple table in a PostgreSQL DB, with one foreign key, a timestamp and 3 float per each entry. However, it takes 60 ms per each entry to execute the core bulk insert described here, thus the whole execution would take 10 h. I have found out, that it is a performance issue of executemany()
method, however it has been solved with the execute_values()
method in psycopg2 2.7.