def test_convert_sql_column_bools(self):
arr = np.array([True, False, True, False], dtype='O')
result = lib.convert_sql_column(arr)
expected = np.array([True, False, True, False], dtype=bool)
assert_same_values_and_dtype(result, expected)
arr = np.array([True, False, None, False], dtype='O')
result = lib.convert_sql_column(arr)
expected = np.array([True, False, np.nan, False], dtype=object)
assert_same_values_and_dtype(result, expected)
def test_convert_sql_column_longs(self):
arr = np.array([1L, 2L, 3L, 4L], dtype="O")
result = lib.convert_sql_column(arr)
expected = np.array([1, 2, 3, 4], dtype="i8")
assert_same_values_and_dtype(result, expected)
arr = np.array([1L, 2L, 3L, None, 4L], dtype="O")
result = lib.convert_sql_column(arr)
expected = np.array([1, 2, 3, np.nan, 4], dtype="f8")
assert_same_values_and_dtype(result, expected)
def test_convert_sql_column_longs(self):
arr = np.array([1L, 2L, 3L, 4L], dtype='O')
result = lib.convert_sql_column(arr)
expected = np.array([1, 2, 3, 4], dtype='i8')
assert_same_values_and_dtype(result, expected)
arr = np.array([1L, 2L, 3L, None, 4L], dtype='O')
result = lib.convert_sql_column(arr)
expected = np.array([1, 2, 3, np.nan, 4], dtype='f8')
assert_same_values_and_dtype(result, expected)
def test_convert_sql_column_bools(self):
arr = np.array([True, False, True, False], dtype="O")
result = lib.convert_sql_column(arr)
expected = np.array([True, False, True, False], dtype=bool)
assert_same_values_and_dtype(result, expected)
arr = np.array([True, False, None, False], dtype="O")
result = lib.convert_sql_column(arr)
expected = np.array([True, False, np.nan, False], dtype=object)
assert_same_values_and_dtype(result, expected)
def test_convert_sql_column_ints(self):
arr = np.array([1, 2, 3, 4], dtype='O')
arr2 = np.array([1, 2, 3, 4], dtype='i4').astype('O')
result = lib.convert_sql_column(arr)
result2 = lib.convert_sql_column(arr2)
expected = np.array([1, 2, 3, 4], dtype='i8')
assert_same_values_and_dtype(result, expected)
assert_same_values_and_dtype(result2, expected)
arr = np.array([1, 2, 3, None, 4], dtype='O')
result = lib.convert_sql_column(arr)
expected = np.array([1, 2, 3, np.nan, 4], dtype='f8')
assert_same_values_and_dtype(result, expected)
def test_convert_sql_column_ints(self):
arr = np.array([1, 2, 3, 4], dtype="O")
arr2 = np.array([1, 2, 3, 4], dtype="i4").astype("O")
result = lib.convert_sql_column(arr)
result2 = lib.convert_sql_column(arr2)
expected = np.array([1, 2, 3, 4], dtype="i8")
assert_same_values_and_dtype(result, expected)
assert_same_values_and_dtype(result2, expected)
arr = np.array([1, 2, 3, None, 4], dtype="O")
result = lib.convert_sql_column(arr)
expected = np.array([1, 2, 3, np.nan, 4], dtype="f8")
assert_same_values_and_dtype(result, expected)
def test_convert_sql_column_ints(self):
arr = np.array([1, 2, 3, 4], dtype='O')
arr2 = np.array([1, 2, 3, 4], dtype='i4').astype('O')
result = lib.convert_sql_column(arr)
result2 = lib.convert_sql_column(arr2)
expected = np.array([1, 2, 3, 4], dtype='i8')
assert_same_values_and_dtype(result, expected)
assert_same_values_and_dtype(result2, expected)
arr = np.array([1, 2, 3, None, 4], dtype='O')
result = lib.convert_sql_column(arr)
expected = np.array([1, 2, 3, np.nan, 4], dtype='f8')
assert_same_values_and_dtype(result, expected)
def test_convert_sql_column_decimals(self):
from decimal import Decimal
arr = np.array([Decimal("1.5"), None, Decimal("3"), Decimal("4.2")])
result = lib.convert_sql_column(arr)
expected = np.array([1.5, np.nan, 3, 4.2], dtype="f8")
assert_same_values_and_dtype(result, expected)
def list_to_dataframe(rows, names):
import pandas._tseries as lib
from pandas import DataFrame
if isinstance(rows, tuple):
rows = list(rows)
columns = dict(zip(names, lib.to_object_array_tuples(rows).T))
for k, v in columns.iteritems():
columns[k] = lib.convert_sql_column(v)
return DataFrame(columns, columns=names)
def list_to_dataframe(rows, names):
"""
Turns a rows of data into a dataframe and gives them the column names
specified
:params rows: the data you want to put in the dataframe
:params names: the column names for the dataframe
"""
from pandas import DataFrame
try:
import pandas._tseries as lib
except ImportError:
import pandas.lib as lib
if isinstance(rows, tuple):
rows = list(rows)
columns = dict(zip(names, lib.to_object_array_tuples(rows).T))
for k, v in columns.iteritems():
columns[k] = lib.convert_sql_column(v)
return DataFrame(columns, columns=names)
def test_convert_sql_column_strings(self):
arr = np.array(['1.5', None, '3', '4.2'], dtype=object)
result = lib.convert_sql_column(arr)
expected = np.array(['1.5', np.nan, '3', '4.2'], dtype=object)
assert_same_values_and_dtype(result, expected)
def test_convert_sql_column_floats(self):
arr = np.array([1.5, None, 3, 4.2], dtype=object)
result = lib.convert_sql_column(arr)
expected = np.array([1.5, np.nan, 3, 4.2], dtype='f8')
assert_same_values_and_dtype(result, expected)
def test_convert_sql_column_strings(self):
arr = np.array(['1.5', None, '3', '4.2'], dtype=object)
result = lib.convert_sql_column(arr)
expected = np.array(['1.5', np.nan, '3', '4.2'], dtype=object)
assert_same_values_and_dtype(result, expected)
def test_convert_sql_column_unicode(self):
arr = np.array([u'1.5', None, u'3', u'4.2'], dtype=object)
result = lib.convert_sql_column(arr)
expected = np.array([u'1.5', np.nan, u'3', u'4.2'], dtype=object)
assert_same_values_and_dtype(result, expected)
def test_convert_sql_column_unicode(self):
arr = np.array([u"1.5", None, u"3", u"4.2"], dtype=object)
result = lib.convert_sql_column(arr)
expected = np.array([u"1.5", np.nan, u"3", u"4.2"], dtype=object)
assert_same_values_and_dtype(result, expected)
def test_convert_sql_column_strings(self):
arr = np.array(["1.5", None, "3", "4.2"], dtype=object)
result = lib.convert_sql_column(arr)
expected = np.array(["1.5", np.nan, "3", "4.2"], dtype=object)
assert_same_values_and_dtype(result, expected)
def test_convert_sql_column_floats(self):
arr = np.array([1.5, None, 3, 4.2], dtype=object)
result = lib.convert_sql_column(arr)
expected = np.array([1.5, np.nan, 3, 4.2], dtype="f8")
assert_same_values_and_dtype(result, expected)
def test_convert_sql_column_decimals(self):
from decimal import Decimal
arr = np.array([Decimal('1.5'), None, Decimal('3'), Decimal('4.2')])
result = lib.convert_sql_column(arr)
expected = np.array([1.5, np.nan, 3, 4.2], dtype='f8')
assert_same_values_and_dtype(result, expected)
def test_convert_sql_column_unicode(self):
arr = np.array([u'1.5', None, u'3', u'4.2'], dtype=object)
result = lib.convert_sql_column(arr)
expected = np.array([u'1.5', np.nan, u'3', u'4.2'], dtype=object)
assert_same_values_and_dtype(result, expected)
def test_convert_sql_column_decimals(self):
from decimal import Decimal
arr = np.array([Decimal('1.5'), None, Decimal('3'), Decimal('4.2')])
result = lib.convert_sql_column(arr)
expected = np.array([1.5, np.nan, 3, 4.2], dtype='f8')
assert_same_values_and_dtype(result, expected)