Example #1
0
File: sql.py Project: while/pandas
    keystr = ''
    if keys is not None:
        if isinstance(keys, basestring):
            keys = (keys,)
        keystr = ', PRIMARY KEY (%s)' % ','.join(keys)
    return template % {'name' : name, 'columns' : columns, 'keystr' : keystr}




#-------------------------------------------------------------------------------
# Query formatting

_formatters = {
    datetime : lambda dt: "'%s'" % date_format(dt),
    str : lambda x: "'%s'" % x,
    np.str_ : lambda x: "'%s'" % x,
    unicode : lambda x: "'%s'" % x,
    float : lambda x: "%.8f" % x,
    int : lambda x: "%s" % x,
    type(None) : lambda x: "NULL",
    np.float64 : lambda x: "%.10f" % x,
    bool : lambda x: "'%s'" % x,
}

def format_query(sql, *args):
    """

    """
    processed_args = []
Example #2
0
import nose

import numpy as np

from pandas.core.datetools import format as date_format
from pandas.core.api import DataFrame, isnull
from pandas.compat import StringIO, range, lrange
import pandas.compat as compat

import pandas.io.sql as sql
import pandas.util.testing as tm
from pandas import Series, Index, DataFrame
from datetime import datetime

_formatters = {
    datetime: lambda dt: "'%s'" % date_format(dt),
    str: lambda x: "'%s'" % x,
    np.str_: lambda x: "'%s'" % x,
    compat.text_type: lambda x: "'%s'" % x,
    compat.binary_type: lambda x: "'%s'" % x,
    float: lambda x: "%.8f" % x,
    int: lambda x: "%s" % x,
    type(None): lambda x: "NULL",
    np.float64: lambda x: "%.10f" % x,
    bool: lambda x: "'%s'" % x,
}

def format_query(sql, *args):
    """

    """