def test_compression_blosc(self):
try:
import blosc
except ImportError:
raise nose.SkipTest('no blosc')
i_rec = self.encode_decode(self.frame, compress='blosc')
for k in self.frame.keys():
assert_frame_equal(self.frame[k], i_rec[k])
def test_compression_blosc(self):
try:
import blosc
except ImportError:
raise nose.SkipTest("no blosc")
i_rec = self.encode_decode(self.frame, compress="blosc")
for k in self.frame.keys():
assert_frame_equal(self.frame[k], i_rec[k])
def tests_datetimeindex_freq_issue(self):
# GH 5947
# inferring freq on the datetimeindex
df = DataFrame([1, 2, 3], index=date_range('1/1/2013', '1/3/2013'))
result = self.encode_decode(df)
assert_frame_equal(result, df)
df = DataFrame([1, 2], index=date_range('1/1/2013', '1/2/2013'))
result = self.encode_decode(df)
assert_frame_equal(result, df)
def tests_datetimeindex_freq_issue(self):
# GH 5947
# inferring freq on the datetimeindex
df = DataFrame([1, 2, 3], index=date_range("1/1/2013", "1/3/2013"))
result = self.encode_decode(df)
assert_frame_equal(result, df)
df = DataFrame([1, 2], index=date_range("1/1/2013", "1/2/2013"))
result = self.encode_decode(df)
assert_frame_equal(result, df)
def check_arbitrary(a, b):
if isinstance(a, (list, tuple)) and isinstance(b, (list, tuple)):
assert (len(a) == len(b))
for a_, b_ in zip(a, b):
check_arbitrary(a_, b_)
elif isinstance(a, Panel):
assert_panel_equal(a, b)
elif isinstance(a, DataFrame):
assert_frame_equal(a, b)
elif isinstance(a, Series):
assert_series_equal(a, b)
else:
assert (a == b)
def check_arbitrary(a, b):
if isinstance(a, (list, tuple)) and isinstance(b, (list, tuple)):
assert(len(a) == len(b))
for a_, b_ in zip(a, b):
check_arbitrary(a_, b_)
elif isinstance(a, Panel):
assert_panel_equal(a, b)
elif isinstance(a, DataFrame):
assert_frame_equal(a, b)
elif isinstance(a, Series):
assert_series_equal(a, b)
else:
assert(a == b)
def test_multi(self):
i_rec = self.encode_decode(self.frame)
for k in self.frame.keys():
assert_frame_equal(self.frame[k], i_rec[k])
l = tuple([self.frame["float"], self.frame["float"].A, self.frame["float"].B, None])
l_rec = self.encode_decode(l)
check_arbitrary(l, l_rec)
# this is an oddity in that packed lists will be returned as tuples
l = [self.frame["float"], self.frame["float"].A, self.frame["float"].B, None]
l_rec = self.encode_decode(l)
self.assertIsInstance(l_rec, tuple)
check_arbitrary(l, l_rec)
def test_multi(self):
i_rec = self.encode_decode(self.frame)
for k in self.frame.keys():
assert_frame_equal(self.frame[k], i_rec[k])
l = tuple(
[self.frame['float'], self.frame['float'].A, self.frame['float'].B, None])
l_rec = self.encode_decode(l)
check_arbitrary(l, l_rec)
# this is an oddity in that packed lists will be returned as tuples
l = [self.frame['float'], self.frame['float']
.A, self.frame['float'].B, None]
l_rec = self.encode_decode(l)
self.assertIsInstance(l_rec, tuple)
check_arbitrary(l, l_rec)
def test_tseries_indices_frame(self):
idx = tm.makeDateIndex(10)
df = DataFrame(np.random.randn(len(idx), 3), index=idx)
self.store['a'] = df
result = self.store['a']
assert_frame_equal(result, df)
self.assertEquals(type(result.index), type(df.index))
self.assertEquals(result.index.freq, df.index.freq)
idx = tm.makePeriodIndex(10)
df = DataFrame(np.random.randn(len(idx), 3), idx)
self.store['a'] = df
result = self.store['a']
assert_frame_equal(result, df)
self.assertEquals(type(result.index), type(df.index))
self.assertEquals(result.index.freq, df.index.freq)
def test_tseries_indices_frame(self):
idx = tm.makeDateIndex(10)
df = DataFrame(np.random.randn(len(idx), 3), index=idx)
self.store['a'] = df
result = self.store['a']
assert_frame_equal(result, df)
self.assertEquals(type(result.index), type(df.index))
self.assertEquals(result.index.freq, df.index.freq)
idx = tm.makePeriodIndex(10)
df = DataFrame(np.random.randn(len(idx), 3), idx)
self.store['a'] = df
result = self.store['a']
assert_frame_equal(result, df)
self.assertEquals(type(result.index), type(df.index))
self.assertEquals(result.index.freq, df.index.freq)
def test_dataframe_duplicate_column_names(self):
# GH 9618
expected_1 = DataFrame(columns=['a', 'a'])
expected_2 = DataFrame(columns=[1] * 100)
expected_2.loc[0] = np.random.randn(100)
expected_3 = DataFrame(columns=[1, 1])
expected_3.loc[0] = ['abc', np.nan]
result_1 = self.encode_decode(expected_1)
result_2 = self.encode_decode(expected_2)
result_3 = self.encode_decode(expected_3)
assert_frame_equal(result_1, expected_1)
assert_frame_equal(result_2, expected_2)
assert_frame_equal(result_3, expected_3)
def test_dataframe_duplicate_column_names(self):
# GH 9618
expected_1 = DataFrame(columns=["a", "a"])
expected_2 = DataFrame(columns=[1] * 100)
expected_2.loc[0] = np.random.randn(100)
expected_3 = DataFrame(columns=[1, 1])
expected_3.loc[0] = ["abc", np.nan]
result_1 = self.encode_decode(expected_1)
result_2 = self.encode_decode(expected_2)
result_3 = self.encode_decode(expected_3)
assert_frame_equal(result_1, expected_1)
assert_frame_equal(result_2, expected_2)
assert_frame_equal(result_3, expected_3)
def test_utf(self):
# GH10581
for encoding in self.utf_encodings:
for frame in compat.itervalues(self.frame):
result = self.encode_decode(frame, encoding=encoding)
assert_frame_equal(result, frame)
def test_compression_zlib(self):
i_rec = self.encode_decode(self.frame, compress="zlib")
for k in self.frame.keys():
assert_frame_equal(self.frame[k], i_rec[k])
def test_plain(self):
i_rec = self.encode_decode(self.frame)
for k in self.frame.keys():
assert_frame_equal(self.frame[k], i_rec[k])
def test_plain(self):
i_rec = self.encode_decode(self.frame)
for k in self.frame.keys():
assert_frame_equal(self.frame[k], i_rec[k])
def test_compression_zlib(self):
i_rec = self.encode_decode(self.frame, compress='zlib')
for k in self.frame.keys():
assert_frame_equal(self.frame[k], i_rec[k])
def test_basic_frame(self):
for s, i in self.frame.items():
i_rec = self.encode_decode(i)
assert_frame_equal(i, i_rec)
def test_utf(self):
# GH10581
for encoding in self.utf_encodings:
for frame in compat.itervalues(self.frame):
result = self.encode_decode(frame, encoding=encoding)
assert_frame_equal(result, frame)
def test_compression_blosc(self):
i_rec = self.encode_decode(self.frame, compress='blosc')
for k in self.frame.keys():
assert_frame_equal(self.frame[k], i_rec[k])
def test_basic_frame(self):
for s, i in self.frame.items():
i_rec = self.encode_decode(i)
assert_frame_equal(i, i_rec)
