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test_feather.py
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""" test feather-format compat """
import pytest
feather = pytest.importorskip('feather')
import numpy as np
import pandas as pd
from pandas.io.feather_format import to_feather, read_feather
from feather import FeatherError
from pandas.util.testing import assert_frame_equal, ensure_clean
import pandas.util.testing as tm
from distutils.version import LooseVersion
fv = LooseVersion(feather.__version__)
@pytest.mark.single
class TestFeather(object):
def check_error_on_write(self, df, exc):
# check that we are raising the exception
# on writing
with pytest.raises(exc):
with ensure_clean() as path:
to_feather(df, path)
def check_round_trip(self, df):
with ensure_clean() as path:
to_feather(df, path)
result = read_feather(path)
assert_frame_equal(result, df)
def test_error(self):
for obj in [pd.Series([1, 2, 3]), 1, 'foo', pd.Timestamp('20130101'),
np.array([1, 2, 3])]:
self.check_error_on_write(obj, ValueError)
def test_basic(self):
df = pd.DataFrame({'string': list('abc'),
'int': list(range(1, 4)),
'uint': np.arange(3, 6).astype('u1'),
'float': np.arange(4.0, 7.0, dtype='float64'),
'float_with_null': [1., np.nan, 3],
'bool': [True, False, True],
'bool_with_null': [True, np.nan, False],
'cat': pd.Categorical(list('abc')),
'dt': pd.date_range('20130101', periods=3),
'dttz': pd.date_range('20130101', periods=3,
tz='US/Eastern'),
'dt_with_null': [pd.Timestamp('20130101'), pd.NaT,
pd.Timestamp('20130103')],
'dtns': pd.date_range('20130101', periods=3,
freq='ns')})
assert df.dttz.dtype.tz.zone == 'US/Eastern'
self.check_round_trip(df)
@pytest.mark.skipif(fv >= '0.4.0', reason='fixed in 0.4.0')
def test_strided_data_issues(self):
# strided data issuehttps://github.com/wesm/feather/issues/97
df = pd.DataFrame(np.arange(12).reshape(4, 3), columns=list('abc'))
self.check_error_on_write(df, FeatherError)
def test_duplicate_columns(self):
# https://github.com/wesm/feather/issues/53
# not currently able to handle duplicate columns
df = pd.DataFrame(np.arange(12).reshape(4, 3),
columns=list('aaa')).copy()
self.check_error_on_write(df, ValueError)
def test_stringify_columns(self):
df = pd.DataFrame(np.arange(12).reshape(4, 3)).copy()
self.check_error_on_write(df, ValueError)
@pytest.mark.skipif(fv >= '0.4.0', reason='fixed in 0.4.0')
def test_unsupported(self):
# timedelta
df = pd.DataFrame({'a': pd.timedelta_range('1 day', periods=3)})
self.check_error_on_write(df, FeatherError)
# non-strings
df = pd.DataFrame({'a': ['a', 1, 2.0]})
self.check_error_on_write(df, ValueError)
def test_unsupported_other(self):
# period
df = pd.DataFrame({'a': pd.period_range('2013', freq='M', periods=3)})
self.check_error_on_write(df, ValueError)
def test_write_with_index(self):
df = pd.DataFrame({'A': [1, 2, 3]})
self.check_round_trip(df)
# non-default index
for index in [[2, 3, 4],
pd.date_range('20130101', periods=3),
list('abc'),
[1, 3, 4],
pd.MultiIndex.from_tuples([('a', 1), ('a', 2),
('b', 1)]),
]:
df.index = index
self.check_error_on_write(df, ValueError)
# index with meta-data
df.index = [0, 1, 2]
df.index.name = 'foo'
self.check_error_on_write(df, ValueError)
# column multi-index
df.index = [0, 1, 2]
df.columns = pd.MultiIndex.from_tuples([('a', 1), ('a', 2), ('b', 1)]),
self.check_error_on_write(df, ValueError)
def test_path_pathlib(self):
df = tm.makeDataFrame().reset_index()
result = tm.round_trip_pathlib(df.to_feather, pd.read_feather)
tm.assert_frame_equal(df, result)
def test_path_localpath(self):
df = tm.makeDataFrame().reset_index()
result = tm.round_trip_localpath(df.to_feather, pd.read_feather)
tm.assert_frame_equal(df, result)