In [1]:
nl = pymaid.get_neurons('annotation:glomerulus DA1 right')
nl.head()
Out[1]:
In [2]:
1 == 1
Out[2]:
In [3]:
2 == 1
Out[3]:
In [4]:
n1 = nl[0]
n2 = nl[0]
n1 == n2
Out[4]:
In [5]:
n1 = nl[0]
n2 = nl[1]
n1 == n2
Out[5]:
In [6]:
nl == nl
Out[6]:
In [7]:
nl == nl[:-1]
Out[7]:
In [8]:
nl[[0, 1, 2]] == nl[[2, 1, 0]]
Out[8]:
In [9]:
n1 = nl[0]
n2 = n1.copy()
n1 == n2
Out[9]:
In [10]:
n1 = nl[0]
n2 = n1.reroot(nl[0].tags['ends'][0], inplace=False)
n1 == n2
Out[10]:
In [11]:
n1 = nl[0]
n1 in nl
Out[11]:
In [12]:
n1 in nl[1:]
Out[12]:
In [13]:
n1.skeleton_id in nl
Out[13]:
In [14]:
n1.skeleton_id in nl[1:]
Out[14]:
In [15]:
a = [1]
b = [3]
a + b
Out[15]:
In [16]:
a = nl[0]
b = nl[[1, 2]]
a + b
Out[16]:
In [17]:
a = nl[0]
b = nl[1]
a + b
Out[17]:
In [18]:
a = [1, 2, 3]
b = 2
a.pop(b)
a
Out[18]:
In [19]:
a = nl[[0, 1, 2]]
b = nl[2]
a - b
Out[19]:
In [20]:
a = set([0, 1, 2])
b = set([2, 3, 4])
a & b
Out[20]:
In [21]:
a = nl[[0, 1, 2]]
b = nl[[2, 3, 4]]
a & b
Out[21]:
In [22]:
a = nl[[0, 1, 2]]
b = nl[[2, 3, 4]]
a & b.skeleton_id
Out[22]:
In [23]:
n = nl[0]
n.nodes.head()
Out[23]:
In [24]:
n2 = n / 1000
n2.nodes.head()
Out[24]:
In [25]:
n1 = nl[0]
n1 in nl
Out[25]:
In [26]:
n2 = n1.reroot(nl[0].tags['ends'][0], inplace=False)
n2 in nl
Out[26]:
In [27]:
nl & n1
Out[27]:
In [28]:
nl & n2
In [29]:
n2.skeleton_id in nl
Out[29]:
In [30]:
nl & n2.skeleton_id
Out[30]: