pandas.read_sql_table¶
- pandas.read_sql_table(table_name, con, index_col=None, coerce_float=True, parse_dates=None, columns=None)¶
Read SQL database table into a DataFrame.
Given a table name and an SQLAlchemy engine, returns a DataFrame. This function does not support DBAPI connections.
Parameters : table_name : string
Name of SQL table in database
con : SQLAlchemy engine
Sqlite DBAPI conncection mode not supported
index_col : string, optional
Column to set as index
coerce_float : boolean, default True
Attempt to convert values to non-string, non-numeric objects (like decimal.Decimal) to floating point. Can result in loss of Precision.
parse_dates : list or dict
- List of column names to parse as dates
- Dict of {column_name: format string} where format string is strftime compatible in case of parsing string times or is one of (D, s, ns, ms, us) in case of parsing integer timestamps
- Dict of {column_name: arg dict}, where the arg dict corresponds to the keyword arguments of pandas.to_datetime() Especially useful with databases without native Datetime support, such as SQLite
columns : list
List of column names to select from sql table
Returns : DataFrame