def test_frame_select(self):
df = tm.makeTimeDataFrame()
self.store.put('frame', df, table=True)
date = df.index[len(df) // 2]
crit1 = ('index', '>=', date)
crit2 = ('columns', ['A', 'D'])
crit3 = ('columns', 'A')
result = self.store.select('frame', [crit1, crit2])
expected = df.ix[date:, ['A', 'D']]
tm.assert_frame_equal(result, expected)
result = self.store.select('frame', [crit3])
expected = df.ix[:, ['A']]
tm.assert_frame_equal(result, expected)
# other indicies for a frame
# integer
df = DataFrame(dict(A=np.random.rand(20), B=np.random.rand(20)))
self.store.append('df_int', df)
self.store.select(
'df_int',
[Term("index<10"), Term("columns", "=", ["A"])])
df = DataFrame(
dict(A=np.random.rand(20),
B=np.random.rand(20),
index=np.arange(20, dtype='f8')))
self.store.append('df_float', df)
self.store.select('df_float',
[Term("index<10.0"),
Term("columns", "=", ["A"])])
def test_remove_where(self):
# non-existance
crit1 = Term('index', '>', 'foo')
self.store.remove('a', where=[crit1])
# try to remove non-table (with crit)
# non-table ok (where = None)
wp = tm.makePanel()
self.store.put('wp', wp, table=True)
self.store.remove('wp', [('column', ['A', 'D'])])
rs = self.store.select('wp')
expected = wp.reindex(minor_axis=['B', 'C'])
tm.assert_panel_equal(rs, expected)
# empty where
self.store.remove('wp')
self.store.put('wp', wp, table=True)
self.store.remove('wp', [])
# non - empty where
self.store.remove('wp')
self.store.put('wp', wp, table=True)
self.assertRaises(Exception, self.store.remove, 'wp', ['foo'])
# selectin non-table with a where
self.store.put('wp2', wp, table=False)
self.assertRaises(Exception, self.store.remove, 'wp2',
[('column', ['A', 'D'])])
def test_frame_select(setup_path):
df = tm.makeTimeDataFrame()
with ensure_clean_store(setup_path) as store:
store.put("frame", df, format="table")
date = df.index[len(df) // 2]
crit1 = Term("index>=date")
assert crit1.env.scope["date"] == date
crit2 = "columns=['A', 'D']"
crit3 = "columns=A"
result = store.select("frame", [crit1, crit2])
expected = df.loc[date:, ["A", "D"]]
tm.assert_frame_equal(result, expected)
result = store.select("frame", [crit3])
expected = df.loc[:, ["A"]]
tm.assert_frame_equal(result, expected)
# invalid terms
df = tm.makeTimeDataFrame()
store.append("df_time", df)
msg = "could not convert string to Timestamp"
with pytest.raises(ValueError, match=msg):
store.select("df_time", "index>0")
def test_select(self):
wp = tm.makePanel()
# put/select ok
self.store.remove('wp')
self.store.put('wp', wp, table=True)
self.store.select('wp')
# non-table ok (where = None)
self.store.remove('wp')
self.store.put('wp2', wp, table=False)
self.store.select('wp2')
# selection on the non-indexable with a large number of columns
wp = Panel(np.random.randn(100, 100, 100),
items=['Item%03d' % i for i in xrange(100)],
major_axis=date_range('1/1/2000', periods=100),
minor_axis=['E%03d' % i for i in xrange(100)])
self.store.remove('wp')
self.store.append('wp', wp)
items = ['Item%03d' % i for i in xrange(80)]
result = self.store.select('wp', Term('items', items))
expected = wp.reindex(items=items)
tm.assert_panel_equal(expected, result)
def test_invalid_terms(setup_path):
with ensure_clean_store(setup_path) as store:
with catch_warnings(record=True):
df = tm.makeTimeDataFrame()
df["string"] = "foo"
df.loc[df.index[0:4], "string"] = "bar"
store.put("df", df, format="table")
# some invalid terms
msg = re.escape(
"__init__() missing 1 required positional argument: 'where'")
with pytest.raises(TypeError, match=msg):
Term()
# more invalid
msg = re.escape("cannot process expression [df.index[3]], "
"[2000-01-06 00:00:00] is not a valid condition")
with pytest.raises(ValueError, match=msg):
store.select("df", "df.index[3]")
msg = "invalid syntax"
with pytest.raises(SyntaxError, match=msg):
store.select("df", "index>")
# from the docs
with ensure_clean_path(setup_path) as path:
dfq = DataFrame(
np.random.randn(10, 4),
columns=list("ABCD"),
index=date_range("20130101", periods=10),
)
dfq.to_hdf(path, "dfq", format="table", data_columns=True)
# check ok
read_hdf(path,
"dfq",
where="index>Timestamp('20130104') & columns=['A', 'B']")
read_hdf(path, "dfq", where="A>0 or C>0")
# catch the invalid reference
with ensure_clean_path(setup_path) as path:
dfq = DataFrame(
np.random.randn(10, 4),
columns=list("ABCD"),
index=date_range("20130101", periods=10),
)
dfq.to_hdf(path, "dfq", format="table")
msg = (r"The passed where expression: A>0 or C>0\n\s*"
r"contains an invalid variable reference\n\s*"
r"all of the variable references must be a reference to\n\s*"
r"an axis \(e.g. 'index' or 'columns'\), or a data_column\n\s*"
r"The currently defined references are: index,columns\n")
with pytest.raises(ValueError, match=msg):
read_hdf(path, "dfq", where="A>0 or C>0")
def test_terms(self):
wp = tm.makePanel()
self.store.put('wp', wp, table=True)
# some invalid terms
terms = [
['minor', ['A', 'B']],
['index', ['20121114']],
['index', ['20121114', '20121114']],
]
for t in terms:
self.assertRaises(Exception, self.store.select, 'wp', t)
self.assertRaises(Exception, Term.__init__)
self.assertRaises(Exception, Term.__init__, 'blah')
self.assertRaises(Exception, Term.__init__, 'index')
self.assertRaises(Exception, Term.__init__, 'index', '==')
self.assertRaises(Exception, Term.__init__, 'index', '>', 5)
result = self.store.select(
'wp',
[Term('major_axis<20000108'),
Term('minor_axis', '=', ['A', 'B'])])
expected = wp.truncate(after='20000108').reindex(minor=['A', 'B'])
tm.assert_panel_equal(result, expected)
# valid terms
terms = [
dict(field='index', op='>', value='20121114'),
('index', '20121114'),
('index', '>', '20121114'),
(('index', ['20121114', '20121114']), ),
('index', datetime(2012, 11, 14)),
'index>20121114',
'major>20121114',
'major_axis>20121114',
(('minor', ['A', 'B']), ),
(('minor_axis', ['A', 'B']), ),
((('minor_axis', ['A', 'B']), ), ),
(('column', ['A', 'B']), ),
]
for t in terms:
self.store.select('wp', t)
def test_select_filter_corner(self):
df = DataFrame(np.random.randn(50, 100))
df.index = ['%.3d' % c for c in df.index]
df.columns = ['%.3d' % c for c in df.columns]
self.store.put('frame', df, table=True)
crit = Term('column', df.columns[:75])
result = self.store.select('frame', [crit])
tm.assert_frame_equal(result, df.ix[:, df.columns[:75]])
def Term(*args, **kwargs):
import warnings
warnings.warn("pd.Term is deprecated as it is not "
"applicable to user code. Instead use in-line "
"string expressions in the where clause when "
"searching in HDFStore",
FutureWarning, stacklevel=2)
from pandas.io.pytables import Term
return Term(*args, **kwargs)
def test_encoding(setup_path):
with ensure_clean_store(setup_path) as store:
df = DataFrame({"A": "foo", "B": "bar"}, index=range(5))
df.loc[2, "A"] = np.nan
df.loc[3, "B"] = np.nan
_maybe_remove(store, "df")
store.append("df", df, encoding="ascii")
tm.assert_frame_equal(store["df"], df)
expected = df.reindex(columns=["A"])
result = store.select("df", Term("columns=A", encoding="ascii"))
tm.assert_frame_equal(result, expected)
def test_append_frame_column_oriented(self):
# column oriented
df = tm.makeTimeDataFrame()
self.store.remove('df1')
self.store.append('df1', df.ix[:, :2], axes=['columns'])
self.store.append('df1', df.ix[:, 2:])
tm.assert_frame_equal(self.store['df1'], df)
result = self.store.select('df1', 'columns=A')
expected = df.reindex(columns=['A'])
tm.assert_frame_equal(expected, result)
# this isn't supported
self.assertRaises(Exception, self.store.select, 'df1',
('columns=A', Term('index', '>', df.index[4])))
# selection on the non-indexable
result = self.store.select(
'df1', ('columns=A', Term('index', '=', df.index[0:4])))
expected = df.reindex(columns=['A'], index=df.index[0:4])
tm.assert_frame_equal(expected, result)
def test_remove_crit(self):
wp = tm.makePanel()
self.store.put('wp', wp, table=True)
date = wp.major_axis[len(wp.major_axis) // 2]
crit1 = Term('index', '>', date)
crit2 = Term('column', ['A', 'D'])
self.store.remove('wp', where=[crit1])
self.store.remove('wp', where=[crit2])
result = self.store['wp']
expected = wp.truncate(after=date).reindex(minor=['B', 'C'])
tm.assert_panel_equal(result, expected)
# test non-consecutive row removal
wp = tm.makePanel()
self.store.put('wp2', wp, table=True)
date1 = wp.major_axis[1:3]
date2 = wp.major_axis[5]
date3 = [wp.major_axis[7], wp.major_axis[9]]
crit1 = Term('index', date1)
crit2 = Term('index', date2)
crit3 = Term('index', date3)
self.store.remove('wp2', where=[crit1])
self.store.remove('wp2', where=[crit2])
self.store.remove('wp2', where=[crit3])
result = self.store['wp2']
ma = list(wp.major_axis)
for d in date1:
ma.remove(d)
ma.remove(date2)
for d in date3:
ma.remove(d)
expected = wp.reindex(major=ma)
tm.assert_panel_equal(result, expected)
def test_versioning(self):
self.store['a'] = tm.makeTimeSeries()
self.store['b'] = tm.makeDataFrame()
df = tm.makeTimeDataFrame()
self.store.remove('df1')
self.store.append('df1', df[:10])
self.store.append('df1', df[10:])
self.assert_(self.store.root.a._v_attrs.pandas_version == '0.10')
self.assert_(self.store.root.b._v_attrs.pandas_version == '0.10')
self.assert_(self.store.root.df1._v_attrs.pandas_version == '0.10')
# write a file and wipe its versioning
self.store.remove('df2')
self.store.append('df2', df)
self.store.get_node('df2')._v_attrs.pandas_version = None
self.store.select('df2')
self.store.select('df2', [Term('index', '>', df.index[2])])
def test_legacy_table_read(self):
# legacy table types
pth = curpath()
store = HDFStore(os.path.join(pth, 'legacy_table.h5'), 'r')
store.select('df1')
store.select('df2')
store.select('wp1')
# force the frame
store.select('df2', typ='legacy_frame')
# old version (this still throws an exception though)
import warnings
warnings.filterwarnings('ignore', category=IncompatibilityWarning)
self.assertRaises(Exception, store.select, 'wp1',
Term('minor_axis', '=', 'B'))
warnings.filterwarnings('always', category=IncompatibilityWarning)
store.close()
def test_terms(self):
wp = tm.makePanel()
p4d = tm.makePanel4D()
self.store.put('wp', wp, table=True)
self.store.put('p4d', p4d, table=True)
# some invalid terms
terms = [
['minor', ['A', 'B']],
['index', ['20121114']],
['index', ['20121114', '20121114']],
]
for t in terms:
self.assertRaises(Exception, self.store.select, 'wp', t)
self.assertRaises(Exception, Term.__init__)
self.assertRaises(Exception, Term.__init__, 'blah')
self.assertRaises(Exception, Term.__init__, 'index')
self.assertRaises(Exception, Term.__init__, 'index', '==')
self.assertRaises(Exception, Term.__init__, 'index', '>', 5)
# panel
result = self.store.select(
'wp',
[Term('major_axis<20000108'),
Term('minor_axis', '=', ['A', 'B'])])
expected = wp.truncate(after='20000108').reindex(minor=['A', 'B'])
tm.assert_panel_equal(result, expected)
# p4d
result = self.store.select('p4d', [
Term('major_axis<20000108'),
Term('minor_axis', '=', ['A', 'B']),
Term('items', '=', ['ItemA', 'ItemB'])
])
expected = p4d.truncate(after='20000108').reindex(
minor=['A', 'B'], items=['ItemA', 'ItemB'])
tm.assert_panel4d_equal(result, expected)
# valid terms
terms = [
dict(field='major_axis', op='>', value='20121114'),
('major_axis', '20121114'),
('major_axis', '>', '20121114'),
(('major_axis', ['20121114', '20121114']), ),
('major_axis', datetime(2012, 11, 14)),
'major_axis>20121114',
'major_axis>20121114',
'major_axis>20121114',
(('minor_axis', ['A', 'B']), ),
(('minor_axis', ['A', 'B']), ),
((('minor_axis', ['A', 'B']), ), ),
(('items', ['ItemA', 'ItemB']), ),
('items=ItemA'),
]
for t in terms:
self.store.select('wp', t)
self.store.select('p4d', t)
# valid for p4d only
terms = [
(('labels', '=', ['l1', 'l2']), ),
Term('labels', '=', ['l1', 'l2']),
]
for t in terms:
self.store.select('p4d', t)
def test_remove_crit(self):
wp = tm.makePanel()
# group row removal
date4 = wp.major_axis.take([0, 1, 2, 4, 5, 6, 8, 9, 10])
crit4 = Term('major_axis', date4)
self.store.put('wp3', wp, table=True)
n = self.store.remove('wp3', where=[crit4])
assert (n == 36)
result = self.store.select('wp3')
expected = wp.reindex(major_axis=wp.major_axis - date4)
tm.assert_panel_equal(result, expected)
# upper half
self.store.put('wp', wp, table=True)
date = wp.major_axis[len(wp.major_axis) // 2]
crit1 = Term('major_axis', '>', date)
crit2 = Term('minor_axis', ['A', 'D'])
n = self.store.remove('wp', where=[crit1])
assert (n == 56)
n = self.store.remove('wp', where=[crit2])
assert (n == 32)
result = self.store['wp']
expected = wp.truncate(after=date).reindex(minor=['B', 'C'])
tm.assert_panel_equal(result, expected)
# individual row elements
self.store.put('wp2', wp, table=True)
date1 = wp.major_axis[1:3]
crit1 = Term('major_axis', date1)
self.store.remove('wp2', where=[crit1])
result = self.store.select('wp2')
expected = wp.reindex(major_axis=wp.major_axis - date1)
tm.assert_panel_equal(result, expected)
date2 = wp.major_axis[5]
crit2 = Term('major_axis', date2)
self.store.remove('wp2', where=[crit2])
result = self.store['wp2']
expected = wp.reindex(major_axis=wp.major_axis - date1 -
Index([date2]))
tm.assert_panel_equal(result, expected)
date3 = [wp.major_axis[7], wp.major_axis[9]]
crit3 = Term('major_axis', date3)
self.store.remove('wp2', where=[crit3])
result = self.store['wp2']
expected = wp.reindex(major_axis=wp.major_axis - date1 -
Index([date2]) - Index(date3))
tm.assert_panel_equal(result, expected)
# corners
self.store.put('wp4', wp, table=True)
n = self.store.remove(
'wp4', where=[Term('major_axis', '>', wp.major_axis[-1])])
result = self.store.select('wp4')
tm.assert_panel_equal(result, wp)
def test_ndim_indexables(self):
""" test using ndim tables in new ways"""
p4d = tm.makePanel4D()
def check_indexers(key, indexers):
for i, idx in enumerate(indexers):
self.assert_(
getattr(
getattr(self.store.root, key).table.description,
idx)._v_pos == i)
# append then change (will take existing schema)
indexers = ['items', 'major_axis', 'minor_axis']
self.store.remove('p4d')
self.store.append('p4d', p4d.ix[:, :, :10, :], axes=indexers)
self.store.append('p4d', p4d.ix[:, :, 10:, :])
tm.assert_panel4d_equal(self.store.select('p4d'), p4d)
check_indexers('p4d', indexers)
# same as above, but try to append with differnt axes
self.store.remove('p4d')
self.store.append('p4d', p4d.ix[:, :, :10, :], axes=indexers)
self.store.append('p4d',
p4d.ix[:, :, 10:, :],
axes=['labels', 'items', 'major_axis'])
tm.assert_panel4d_equal(self.store.select('p4d'), p4d)
check_indexers('p4d', indexers)
# pass incorrect number of axes
self.store.remove('p4d')
self.assertRaises(Exception,
self.store.append,
'p4d',
p4d.ix[:, :, :10, :],
axes=['major_axis', 'minor_axis'])
# different than default indexables #1
indexers = ['labels', 'major_axis', 'minor_axis']
self.store.remove('p4d')
self.store.append('p4d', p4d.ix[:, :, :10, :], axes=indexers)
self.store.append('p4d', p4d.ix[:, :, 10:, :])
tm.assert_panel4d_equal(self.store['p4d'], p4d)
check_indexers('p4d', indexers)
# different than default indexables #2
indexers = ['major_axis', 'labels', 'minor_axis']
self.store.remove('p4d')
self.store.append('p4d', p4d.ix[:, :, :10, :], axes=indexers)
self.store.append('p4d', p4d.ix[:, :, 10:, :])
tm.assert_panel4d_equal(self.store['p4d'], p4d)
check_indexers('p4d', indexers)
# partial selection
result = self.store.select('p4d', ['labels=l1'])
expected = p4d.reindex(labels=['l1'])
tm.assert_panel4d_equal(result, expected)
# partial selection2
result = self.store.select(
'p4d',
[Term('labels=l1'),
Term('items=ItemA'),
Term('minor_axis=B')])
expected = p4d.reindex(labels=['l1'],
items=['ItemA'],
minor_axis=['B'])
tm.assert_panel4d_equal(result, expected)
# non-existant partial selection
result = self.store.select(
'p4d',
[Term('labels=l1'),
Term('items=Item1'),
Term('minor_axis=B')])
expected = p4d.reindex(labels=['l1'], items=[], minor_axis=['B'])
tm.assert_panel4d_equal(result, expected)
