def _columns(cls, o, n_cols=0):
""" Wraps columns from meta['schema'] with RowProxy and generates them.
Args:
o (any having .meta dict attr):
Generates:
RowProxy: column wrapped with RowProxy
"""
s = o.meta['schema']
assert len(s) >= 1 # Should always have header row.
assert o.meta['schema'][0] == MPRowsFile.SCHEMA_TEMPLATE, (o.meta['schema'][0], MPRowsFile.SCHEMA_TEMPLATE)
# n_cols here is for columns in the data table, which are rows in the headers table
n_cols = max(n_cols, o.n_cols, len(s) - 1)
for i in range(1, n_cols + 1):
# Normally, we'd only create one of these, and set the row on the singleton for
# each row. But in this case, the caller may turn the output of the method into a list,
# in which case all of the rows would have the values of the last one.
rp = RowProxy(s[0])
try:
row = s[i]
except IndexError:
# Extend the row, but make sure the pos value is set property.
ext_row = [i, 'col{}'.format(i)] + [None] * (len(s[0]) - 2)
s.append(ext_row)
row = s[i]
yield rp.set_row(row)
assert o.meta['schema'][0] == MPRowsFile.SCHEMA_TEMPLATE
def _columns(cls, o, n_cols=0):
""" Wraps columns from meta['schema'] with RowProxy and generates them.
Args:
o (any having .meta dict attr):
Generates:
RowProxy: column wrapped with RowProxy
"""
s = o.meta['schema']
assert len(s) >= 1 # Should always have header row.
assert o.meta['schema'][0] == MPRowsFile.SCHEMA_TEMPLATE, (
o.meta['schema'][0], MPRowsFile.SCHEMA_TEMPLATE)
# n_cols here is for columns in the data table, which are rows in the headers table
n_cols = max(n_cols, o.n_cols, len(s) - 1)
for i in range(1, n_cols + 1):
# Normally, we'd only create one of these, and set the row on the singleton for
# each row. But in this case, the caller may turn the output of the method into a list,
# in which case all of the rows would have the values of the last one.
rp = RowProxy(s[0])
try:
row = s[i]
except IndexError:
# Extend the row, but make sure the pos value is set property.
ext_row = [i, 'col{}'.format(i)] + [None] * (len(s[0]) - 2)
s.append(ext_row)
row = s[i]
yield rp.set_row(row)
assert o.meta['schema'][0] == MPRowsFile.SCHEMA_TEMPLATE
def select(self, predicate=None, headers=None):
""" Select rows from the reader using a predicate and itemgetter to return a subset of elements.
Args:
predicate (callable, optional): if defined, a callable that is called for each rowm and
if it returns true, the row is included in the output.
headers (list, optional): if defined, a list or tuple of header names to return from each row
Returns:
iterable: iterable of results
WARNING: This routine works from the reader iterator, which returns RowProxy objects. RowProxy
objects are reused, so if you construct a list directly from the output from
this method, the list will have multiple copies of a single RowProxy,
which will have as an inner row the last result row. If you will
be directly constructing a list, use a getter that extracts the inner row, or which
converted the RowProxy to a dict:
list(s.datafile.select(lambda r: r.stusab == 'CA', lambda r: r.dict))
"""
if headers:
from operator import itemgetter
ig = itemgetter(*headers)
rp = RowProxy(headers)
getter = lambda r: rp.set_row(ig(r.dict))
else:
getter = None
if getter is not None and predicate is not None:
return six.moves.map(getter, filter(predicate, iter(self)))
elif getter is not None and predicate is None:
return six.moves.map(getter, iter(self))
elif getter is None and predicate is not None:
return six.moves.filter(predicate, self)
else:
return iter(self)
def select(self, predicate=None, headers=None):
""" Select rows from the reader using a predicate and itemgetter to return a subset of elements.
Args:
predicate (callable, optional): if defined, a callable that is called for each rowm and
if it returns true, the row is included in the output.
headers (list, optional): if defined, a list or tuple of header names to return from each row
Returns:
iterable: iterable of results
WARNING: This routine works from the reader iterator, which returns RowProxy objects. RowProxy
objects are reused, so if you construct a list directly from the output from
this method, the list will have multiple copies of a single RowProxy,
which will have as an inner row the last result row. If you will
be directly constructing a list, use a getter that extracts the inner row, or which
converted the RowProxy to a dict:
list(s.datafile.select(lambda r: r.stusab == 'CA', lambda r: r.dict))
"""
if headers:
from operator import itemgetter
ig = itemgetter(*headers)
rp = RowProxy(headers)
getter = lambda r: rp.set_row(ig(r.dict))
else:
getter = None
if getter is not None and predicate is not None:
return six.moves.map(getter, filter(predicate, iter(self)))
elif getter is not None and predicate is None:
return six.moves.map(getter, iter(self))
elif getter is None and predicate is not None:
return six.moves.filter(predicate, self)
else:
return iter(self)
def __iter__(self):
""" Iterator for reading rows as RowProxy objects
WARNING: This routine generates RowProxy objects. RowProxy objects
are reused, so if you construct a list directly from the output from this method,
the list will have multiple copies of a single RowProxy, which will
have as an inner row the last result row. If you will be directly constructing
a list, use a getter that extracts the inner row, or which converted the RowProxy
to a dict.
"""
rp = RowProxy(self.headers)
try:
if 'rows' not in self._h5_file.root.partition:
# rows table was not created.
raise StopIteration
self._in_iteration = True
table = self._h5_file.root.partition.rows
for row in table.iterrows():
r = [_deserialize(row[c]) for c in table.colnames]
yield rp.set_row(r)
self.pos += 1
finally:
self._in_iteration = False
def __iter__(self):
""" Iterator for reading rows as RowProxy objects
WARNING: This routine generates RowProxy objects. RowProxy objects
are reused, so if you construct a list directly from the output from this method,
the list will have multiple copies of a single RowProxy, which will
have as an inner row the last result row. If you will be directly constructing
a list, use a getter that extracts the inner row, or which converted the RowProxy
to a dict.
"""
rp = RowProxy(self.headers)
try:
if 'rows' not in self._h5_file.root.partition:
# rows table was not created.
raise StopIteration
self._in_iteration = True
table = self._h5_file.root.partition.rows
for row in table.iterrows():
r = [_deserialize(row[c]) for c in table.colnames]
yield rp.set_row(r)
self.pos += 1
finally:
self._in_iteration = False
