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"""
Support pre-0.12 series pickle compatibility.
"""
import copy
import pickle as pkl
import sys
from pandas.compat import string_types, u # noqa
import pandas # noqa
from pandas import Index, compat
def load_reduce(self):
stack = self.stack
args = stack.pop()
func = stack[-1]
if len(args) and type(args[0]) is type:
n = args[0].__name__ # noqa
try:
stack[-1] = func(*args)
return
except Exception as e:
# If we have a deprecated function,
# try to replace and try again.
msg = '_reconstruct: First argument must be a sub-type of ndarray'
if msg in str(e):
try:
cls = args[0]
stack[-1] = object.__new__(cls)
return
except TypeError:
pass
# try to re-encode the arguments
if getattr(self, 'encoding', None) is not None:
args = tuple(arg.encode(self.encoding)
if isinstance(arg, string_types)
else arg for arg in args)
try:
stack[-1] = func(*args)
return
except TypeError:
pass
# unknown exception, re-raise
if getattr(self, 'is_verbose', None):
print(sys.exc_info())
print(func, args)
raise
# If classes are moved, provide compat here.
_class_locations_map = {
('pandas.core.sparse.array', 'SparseArray'):
('pandas.core.arrays', 'SparseArray'),
# 15477
#
# TODO: When FrozenNDArray is removed, add
# the following lines for compat:
#
# ('pandas.core.base', 'FrozenNDArray'):
# ('numpy', 'ndarray'),
# ('pandas.core.indexes.frozen', 'FrozenNDArray'):
# ('numpy', 'ndarray'),
#
# Afterwards, remove the current entry
# for `pandas.core.base.FrozenNDArray`.
('pandas.core.base', 'FrozenNDArray'):
('pandas.core.indexes.frozen', 'FrozenNDArray'),
('pandas.core.base', 'FrozenList'):
('pandas.core.indexes.frozen', 'FrozenList'),
# 10890
('pandas.core.series', 'TimeSeries'):
('pandas.core.series', 'Series'),
('pandas.sparse.series', 'SparseTimeSeries'):
('pandas.core.sparse.series', 'SparseSeries'),
# 12588, extensions moving
('pandas._sparse', 'BlockIndex'):
('pandas._libs.sparse', 'BlockIndex'),
('pandas.tslib', 'Timestamp'):
('pandas._libs.tslib', 'Timestamp'),
# 18543 moving period
('pandas._period', 'Period'): ('pandas._libs.tslibs.period', 'Period'),
('pandas._libs.period', 'Period'):
('pandas._libs.tslibs.period', 'Period'),
# 18014 moved __nat_unpickle from _libs.tslib-->_libs.tslibs.nattype
('pandas.tslib', '__nat_unpickle'):
('pandas._libs.tslibs.nattype', '__nat_unpickle'),
('pandas._libs.tslib', '__nat_unpickle'):
('pandas._libs.tslibs.nattype', '__nat_unpickle'),
# 15998 top-level dirs moving
('pandas.sparse.array', 'SparseArray'):
('pandas.core.arrays.sparse', 'SparseArray'),
('pandas.sparse.series', 'SparseSeries'):
('pandas.core.sparse.series', 'SparseSeries'),
('pandas.sparse.frame', 'SparseDataFrame'):
('pandas.core.sparse.frame', 'SparseDataFrame'),
('pandas.indexes.base', '_new_Index'):
('pandas.core.indexes.base', '_new_Index'),
('pandas.indexes.base', 'Index'):
('pandas.core.indexes.base', 'Index'),
('pandas.indexes.numeric', 'Int64Index'):
('pandas.core.indexes.numeric', 'Int64Index'),
('pandas.indexes.range', 'RangeIndex'):
('pandas.core.indexes.range', 'RangeIndex'),
('pandas.indexes.multi', 'MultiIndex'):
('pandas.core.indexes.multi', 'MultiIndex'),
('pandas.tseries.index', '_new_DatetimeIndex'):
('pandas.core.indexes.datetimes', '_new_DatetimeIndex'),
('pandas.tseries.index', 'DatetimeIndex'):
('pandas.core.indexes.datetimes', 'DatetimeIndex'),
('pandas.tseries.period', 'PeriodIndex'):
('pandas.core.indexes.period', 'PeriodIndex'),
# 19269, arrays moving
('pandas.core.categorical', 'Categorical'):
('pandas.core.arrays', 'Categorical'),
# 19939, add timedeltaindex, float64index compat from 15998 move
('pandas.tseries.tdi', 'TimedeltaIndex'):
('pandas.core.indexes.timedeltas', 'TimedeltaIndex'),
('pandas.indexes.numeric', 'Float64Index'):
('pandas.core.indexes.numeric', 'Float64Index'),
}
# our Unpickler sub-class to override methods and some dispatcher
# functions for compat
if compat.PY3:
class Unpickler(pkl._Unpickler):
def find_class(self, module, name):
# override superclass
key = (module, name)
module, name = _class_locations_map.get(key, key)
return super(Unpickler, self).find_class(module, name)
else:
class Unpickler(pkl.Unpickler):
def find_class(self, module, name):
# override superclass
key = (module, name)
module, name = _class_locations_map.get(key, key)
__import__(module)
mod = sys.modules[module]
klass = getattr(mod, name)
return klass
Unpickler.dispatch = copy.copy(Unpickler.dispatch)
Unpickler.dispatch[pkl.REDUCE[0]] = load_reduce
def load_newobj(self):
args = self.stack.pop()
cls = self.stack[-1]
# compat
if issubclass(cls, Index):
obj = object.__new__(cls)
else:
obj = cls.__new__(cls, *args)
self.stack[-1] = obj
Unpickler.dispatch[pkl.NEWOBJ[0]] = load_newobj
def load_newobj_ex(self):
kwargs = self.stack.pop()
args = self.stack.pop()
cls = self.stack.pop()
# compat
if issubclass(cls, Index):
obj = object.__new__(cls)
else:
obj = cls.__new__(cls, *args, **kwargs)
self.append(obj)
try:
Unpickler.dispatch[pkl.NEWOBJ_EX[0]] = load_newobj_ex
except (AttributeError, KeyError):
pass
def load(fh, encoding=None, compat=False, is_verbose=False):
"""load a pickle, with a provided encoding
if compat is True:
fake the old class hierarchy
if it works, then return the new type objects
Parameters
----------
fh : a filelike object
encoding : an optional encoding
compat : provide Series compatibility mode, boolean, default False
is_verbose : show exception output
"""
try:
fh.seek(0)
if encoding is not None:
up = Unpickler(fh, encoding=encoding)
else:
up = Unpickler(fh)
up.is_verbose = is_verbose
return up.load()
except (ValueError, TypeError):
raise
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