def _write_index(self, group, key, index):
if isinstance(index, MultiIndex):
setattr(group._v_attrs, '%s_variety' % key, 'multi')
self._write_multi_index(group, key, index)
elif isinstance(index, BlockIndex):
setattr(group._v_attrs, '%s_variety' % key, 'block')
self._write_block_index(group, key, index)
elif isinstance(index, IntIndex):
setattr(group._v_attrs, '%s_variety' % key, 'sparseint')
self._write_sparse_intindex(group, key, index)
else:
setattr(group._v_attrs, '%s_variety' % key, 'regular')
converted, kind, _ = _convert_index(index)
self._write_array(group, key, converted)
node = getattr(group, key)
node._v_attrs.kind = kind
node._v_attrs.name = index.name
if isinstance(index, (DatetimeIndex, PeriodIndex)):
node._v_attrs.index_class = _class_to_alias(type(index))
if hasattr(index, 'freq'):
node._v_attrs.freq = index.freq
if hasattr(index, 'tz') and index.tz is not None:
zone = lib.get_timezone(index.tz)
if zone is None:
zone = lib.tot_seconds(index.tz.utcoffset())
node._v_attrs.tz = zone
def _write_index(self, group, key, index):
if isinstance(index, MultiIndex):
setattr(group._v_attrs, '%s_variety' % key, 'multi')
self._write_multi_index(group, key, index)
elif isinstance(index, BlockIndex):
setattr(group._v_attrs, '%s_variety' % key, 'block')
self._write_block_index(group, key, index)
elif isinstance(index, IntIndex):
setattr(group._v_attrs, '%s_variety' % key, 'sparseint')
self._write_sparse_intindex(group, key, index)
else:
setattr(group._v_attrs, '%s_variety' % key, 'regular')
converted, kind, _ = _convert_index(index)
self._write_array(group, key, converted)
node = getattr(group, key)
node._v_attrs.kind = kind
node._v_attrs.name = index.name
if isinstance(index, (DatetimeIndex, PeriodIndex)):
node._v_attrs.index_class = _class_to_alias(type(index))
if hasattr(index, 'freq'):
node._v_attrs.freq = index.freq
if hasattr(index, 'tz') and index.tz is not None:
zone = lib.get_timezone(index.tz)
if zone is None:
zone = lib.tot_seconds(index.tz.utcoffset())
node._v_attrs.tz = zone
def _prep_index(self,obj,duplicates={},data_start=0):
info = {}
types = {}
data = []
for i in range(obj.index.nlevels):
name = obj.index.names[i]
if name == None:
str_name = 'index_%d'%i
else:
str_name = str(name)
if str_name in info:
if str_name in duplicates:
duplicates[str_name] += 1
else:
duplicates[str_name] = 1
str_name = str_name + '_%d'%duplicates[str_name]
if isinstance(obj.index, MultiIndex):
values = obj.index.levels[i]
else:
values = obj.index.values
converted, kind, type = _convert_index(values,position=data_start+i)
info[str_name] = {'name_data':name}
if hasattr(values, 'freq'):
info[str_name]['freq'] = values.freq
if hasattr(values, 'tz') and values.tz is not None:
zone = lib.get_timezone(values.tz)
if zone is None:
zone = lib.tot_seconds(values.tz.utcoffset())
info[str_name]['tz'] = zone
info[str_name]['kind'] = kind
info[str_name]['isIndex'] = True
info[str_name]['position'] = i
types[str_name] = type
data.append(converted)
return info,types,data,duplicates,i+1
