What is the process for generating a parameterized query using pandasql?

edit

The process for generating a parameterized query using pandasql involves the following steps:

1. Import the required libraries: pandas and pandasql.

2. Define the parameters for the query. Parameters are defined by enclosing them in curly braces {}.

3. Define the SQL query using the parameters. Parameters are inserted into the query using the .format() method.

4. Execute the query using the sqldf() function from pandasql. The sqldf() function takes the SQL query and a dictionary of parameter values as arguments.

Here is an example code snippet for generating a parameterized query using pandasql:

import pandas as pd
import pandasql as ps

# define query parameters
min_age = 18
max_age = 30

# define SQL query with parameters
query = '''
SELECT name, age
FROM people
WHERE age >= {min_age} AND age <= {max_age}
'''

# execute query with parameter values
df = pd.read_csv('people.csv')
results = ps.sqldf(query.format(min_age=min_age, max_age=max_age), locals())

In this example, the query selects the names and ages of people whose age falls within a specified range. The minage and maxage parameters are defined at the beginning of the script and inserted into the query using the .format() method. The sqldf() function is then used to execute the query with the parameter values provided as a dictionary.