From 352b7516496c1ced0816856b04e097325a77cf13 Mon Sep 17 00:00:00 2001 From: scotthavard92 Date: Sun, 22 Oct 2017 17:39:39 -0700 Subject: [PATCH] DOC:Cleaned up the read_sql_table docstring --- pandas/io/sql.py | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/pandas/io/sql.py b/pandas/io/sql.py index 9c6d01d236c57..ef047a7a61e42 100644 --- a/pandas/io/sql.py +++ b/pandas/io/sql.py @@ -206,28 +206,28 @@ def read_sql_table(table_name, con, schema=None, index_col=None, Parameters ---------- table_name : string - Name of SQL table in database + Name of SQL table in database. con : SQLAlchemy connectable (or database string URI) - Sqlite DBAPI connection mode not supported + SQLite DBAPI connection mode not supported. schema : string, default None Name of SQL schema in database to query (if database flavor supports this). If None, use default schema (default). index_col : string or list of strings, optional, default: None - Column(s) to set as index(MultiIndex) + Column(s) to set as index(MultiIndex). coerce_float : boolean, default True - Attempt to convert values of non-string, non-numeric objects (like + Attempts to convert values of non-string, non-numeric objects (like decimal.Decimal) to floating point. Can result in loss of Precision. parse_dates : list or dict, default: None - - List of column names to parse as dates + - 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 + (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 :func:`pandas.to_datetime` Especially useful with databases without native Datetime support, - such as SQLite + such as SQLite. columns : list, default: None - List of column names to select from sql table + List of column names to select from SQL table chunksize : int, default None If specified, return an iterator where `chunksize` is the number of rows to include in each chunk.