Pandas: How to Read and Write Data to a SQL Database

Pandas read_sql() function is used to read data from SQL queries or database tables into DataFrame. This function allows you to execute SQL queries and load the results directly into a Pandas DataFrame. This function is a wrapper for the read_sql_query() and read_sql_table() functions, based on the input, it calls these functions internally and returns the SQL table as a two-dimensional data structure with labeled columns.

Following are the syntax of read_sql(), read_sql_query() and read_sql_table() functions.

# Syntax of read_sql()

pandas.read_sql(sql, con, index_col=None, coerce_float=True, params=None, parse_dates=None, columns=None, chunksize=None)

# Syntax of read_sql_query()

pandas.read_sql_query(sql, con, index_col=None, coerce_float=True, params=None, parse_dates=None, chunksize=None, dtype=None)

# Syntax of read_sql_table()

pandas.read_sql_table(table_name, con, schema=None, index_col=None, coerce_float=True, parse_dates=None, columns=None, chunksize=None)

Parameters :

· sql

· con

· index_col

· coerce_float

· params

· parse_dates

· columns

· chuynksize

Below is the example of reading and writing to sql database :

Reading from SQL Database :

Writing to SQL Database :