def __setitem__(self, index, value):
ndarray.__setitem__(self, index, value)
if isinstance(index, slice):
for i, entry in enumerate(self._list[index]):
setattr(entry, self._attr, value)
else:
setattr(self._list[index], self._attr, value)
def __setitem__(self, index, value):
ndarray.__setitem__(self, index, value)
if isinstance(index, slice):
for i, entry in enumerate(self._list[index]):
setattr(entry, self._attr, value)
else:
setattr(self._list[index], self._attr, value)
def __setitem__( a_, i, x ):
"a_[i] = x"
try:
for j, xj in zip( range( * i.indices(len(a_)) ), x ):
a_[j] = xj
return
except:
if isinstance( i, slice ): raise
try:
for j in range( * i.indices(len(a_)) ):
a_[j] = x
return
except: pass
try:
for j, xj in zip( i, x ):
a_[j] = xj
return
except: pass
try:
for j in i:
a_[i] = x
return
except:
pass
ndarray.__setitem__( a_, i, x )
coords = a_.allcoords[i]
e = a_.base
for j in coords[:-1]: e = e[j]
e[coords[-1]] = x
def __setslice__(self, i, j, value):
ndarray.__setitem__(self, slice(i, j), value)
if j == maxsize:
j = len(self)
if hasattr(value, "__getitem__"): # setting to a list
for index in range(i, j):
setattr(self._list[index], self._attr, value[index])
else:
for index in range(i, j):
setattr(self._list[index], self._attr, value)
def __setslice__(self, i, j, value):
ndarray.__setitem__(self, slice(i, j), value)
if j == maxsize:
j = len(self)
if hasattr(value, "__getitem__"): # setting to a list
for index in range(i, j):
setattr(self._list[index], self._attr, value[index])
else:
for index in range(i, j):
setattr(self._list[index], self._attr, value)
def __setitem__(self, key, value):
"""
If this series is mutable, set specified indices equal to given values.
"""
try:
loc = self.index.indexMap[key]
ndarray.__setitem__(self, loc, value)
except Exception:
values = self.values
values[key] = value
def __setitem__(self, key, value):
"""
If this series is mutable, set specified indices equal to given values.
"""
try:
loc = self.index.indexMap[key]
ndarray.__setitem__(self, loc, value)
except Exception:
values = self.values
values[key] = value
def __setitem__(self, index, value):
ndarray.__setitem__(self, index, value)
if isinstance(index, slice):
# not sure why that is here
if index.stop == maxsize:
index = slice(index.start, len(self))
if hasattr(value, "__getitem__"):
for i, entry in enumerate(self._list[index]):
setattr(entry, self._attr, value[i])
else:
for i, entry in enumerate(self._list[index]):
setattr(entry, self._attr, value)
else:
setattr(self._list[index], self._attr, value)
def __setitem__(self, index, value):
ndarray.__setitem__(self, index, value)
if isinstance(index, slice):
# not sure why that is here
if index.stop == maxsize:
index = slice(index.start, len(self))
if hasattr(value, "__getitem__"):
for i, entry in enumerate(self._list[index]):
setattr(entry, self._attr, value[i])
else:
for i, entry in enumerate(self._list[index]):
setattr(entry, self._attr, value)
else:
setattr(self._list[index], self._attr, value)
def _extend(self, other):
old_size = len(self)
new_size = old_size + len(other)
self.resize(new_size, refcheck=False)
ndarray.__setitem__(self, slice(old_size, new_size), other)
def __setitem__(self, ind, val): nInd = self._interpretIndexes(ind) return ndarray.__setitem__(self, nInd, val)
def __setitem__(self, ind, val):
nInd = self._interpretIndexes(ind)
return ndarray.__setitem__(self, nInd, val)
def __setitem__(self, index, value):
ndarray.__setitem__(self, index, value)
setattr(self._list[index], self._attr, value)
def replace(self, item, new_container, i):
ndarray.__setitem__(self.ravel(), i, new_container)
def _extend(self, other):
old_size = len(self)
new_size = old_size + len(other)
self.resize(new_size, refcheck=False)
ndarray.__setitem__(self, slice(old_size, new_size), other)
def replace(self, item, new_container, i):
ndarray.__setitem__(self.ravel(), i, new_container)
def __setitem__(self, index, value):
ndarray.__setitem__(self, index, value)
setattr(self._list[index], self._attr, value)