sql : string SQL query or SQLAlchemy Selectable (select or text object)
to be executed.
con : SQLAlchemy connectable(engine/connection) or database string URI
or sqlite3 DBAPI2 connection Using SQLAlchemy makes it possible to use any DB supported by that library. If a DBAPI2 object, only sqlite3 is supported.
index_col : string or list of strings, optional, default: None
Column(s) to set as index(MultiIndex)
coerce_float : boolean, default True
Attempt to convert values of non-string, non-numeric objects (like decimal.Decimal) to floating point, useful for SQL result sets
params : list, tuple or dict, optional, default: None
List of parameters to pass to execute method. The syntax used to pass parameters is database driver dependent. Check your database driver documentation for which of the five syntax styles, described in PEP 249’s paramstyle, is supported. Eg. for psycopg2, uses %(name)s so use params={‘name’ : ‘value’}
parse_dates : list or dict, default: None
- 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 ofpandas.to_datetime()Especially useful with databases without native Datetime support, such as SQLite
chunksize : int, default None
If specified, return an iterator where chunksize is the number of rows to include in each chunk.
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