Exporting SQL query results to pandas dataframe


id date temp prcp 1 2015-01-01 -27.18 0 1 2015-01-02 -25.9 1.03 1 2015-01-03 -17.89 9.44 1 2015-01-04 -17.89 9.44 1 2015-01-05 -17.89 9.44 import dataset import pandas as pd db = dataset.connect(path_to_database_on_AWS) res = db.query(SELECT * FROM tbl WHERE id=1 and date >= '2015-01-03' and date <= '2015-01-05') pd.read_sql(res, con=db)

In the above code, I am using the <a href="https://dataset.readthedocs.io/en/latest/api.html#dataset.Database.query" rel="nofollow">query</a> method from the python dataset library to read in from a table and then want to export the results as a pandas dataframe, however, I get this bug:

*** AttributeError: 'Database' object has no attribute 'cursor'

How do I export query results to pandas dataframe?


You could do something like this:

import sqlite3 import pandas as pd con = sqlite3.connect('path_to_your_sql') myFrames = pd.read_sql_query('your query', con)

Edit: for non sqlite db you could use this for the connection:

from sqlalchemy import create_engine con = create_engine('dialect+driver://username:password@host:port/database')

<a href="http://docs.sqlalchemy.org/en/latest/core/engines.html" rel="nofollow">docs for create_engine</a>


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