def create_block(b):
values = _safe_reshape(unconvert(b[u"values"], dtype_for(b[u"dtype"]), b[u"compress"]), b[u"shape"])
# locs handles duplicate column names, and should be used instead
# of items; see GH 9618
if u"locs" in b:
placement = b[u"locs"]
else:
placement = axes[0].get_indexer(b[u"items"])
return make_block(
values=values, klass=getattr(internals, b[u"klass"]), placement=placement, dtype=b[u"dtype"]
)
def create_block(b):
values = _safe_reshape(
unconvert(b[u'values'], dtype_for(b[u'dtype']),
b[u'compress']), b[u'shape'])
# locs handles duplicate column names, and should be used instead
# of items; see GH 9618
if u'locs' in b:
placement = b[u'locs']
else:
placement = axes[0].get_indexer(b[u'items'])
return make_block(values=values,
klass=getattr(internals, b[u'klass']),
placement=placement,
dtype=b[u'dtype'])
def create_block(b):
values = _safe_reshape(
unconvert(b['values'], dtype_for(b['dtype']), b['compress']),
b['shape'])
# locs handles duplicate column names, and should be used instead
# of items; see GH 9618
if 'locs' in b:
placement = b['locs']
else:
placement = axes[0].get_indexer(b['items'])
if is_datetime64tz_dtype(b['dtype']):
assert isinstance(values, np.ndarray), type(values)
assert values.dtype == 'M8[ns]', values.dtype
values = DatetimeArray(values, dtype=b['dtype'])
return make_block(values=values,
klass=getattr(internals, b['klass']),
placement=placement,
dtype=b['dtype'])
def create_block(b):
values = _safe_reshape(unconvert(
b[u'values'], dtype_for(b[u'dtype']),
b[u'compress']), b[u'shape'])
# locs handles duplicate column names, and should be used instead
# of items; see GH 9618
if u'locs' in b:
placement = b[u'locs']
else:
placement = axes[0].get_indexer(b[u'items'])
if is_datetime64tz_dtype(b[u'dtype']):
assert isinstance(values, np.ndarray), type(values)
assert values.dtype == 'M8[ns]', values.dtype
values = DatetimeArray(values, dtype=b[u'dtype'])
return make_block(values=values,
klass=getattr(internals, b[u'klass']),
placement=placement,
dtype=b[u'dtype'])
def create_block(b):
values = _safe_reshape(
unconvert(b[u"values"], dtype_for(b[u"dtype"]), b[u"compress"]),
b[u"shape"],
)
# locs handles duplicate column names, and should be used instead
# of items; see GH 9618
if u"locs" in b:
placement = b[u"locs"]
else:
placement = axes[0].get_indexer(b[u"items"])
klass = getattr(internals, b[u"klass"])
if klass == DatetimeTZBlock:
raise ValueError("Lost the ability to parse datetime with timezone. Sorry")
return make_block(
values=values.copy(),
klass=getattr(internals, b[u"klass"]),
placement=placement,
dtype=b[u"dtype"],
)
