pull data from a sql database and create data table in python

To pull data from a SQL database and create a data table in Python, we can use the pandas library. Here are the steps to do so:

1. Install pandas library (if not installed) using the following command:

   main.py
   !pip install pandas
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2. Connect to the SQL database using a connection object. We will need the pyodbc library for this. Here's an example code to make the connection:

   main.py
   import pyodbc
   server = '<server_name>'
   database = '<database_name>'
   username = '<username>'
   password = '<password>'
   cnxn = pyodbc.connect('DRIVER={SQL Server};SERVER='+server+';DATABASE='+database+';UID='+username+';PWD='+ password)
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3. After connecting to the SQL database, we can use the pandas.read_sql() method to read the data into a pandas DataFrame. Here's an example code:

   main.py
   import pandas as pd
   
   query = '<sql_query>'
   df = pd.read_sql(query, cnxn)
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4. Now that we have the data in a pandas DataFrame, we can manipulate and analyze it as needed. For example, we can use the head() method to show the first few rows of data:

   main.py
   df.head()
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5. Finally, we can create a data table using the pandas.DataFrame() method. Here's an example:

   main.py
   data_table = pd.DataFrame(df, columns=['col1', 'col2', 'col3', 'col4'])
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   where col1, col2, col3, and col4 are the column names of the DataFrame.

By following these steps, we can easily pull data from a SQL database and create a data table in Python using pandas!