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+# Concatenate
+{:.no_toc}
+
+<nav markdown="1" class="toc-class">
+* TOC
+{:toc}
+</nav>
+
+## The goal
+
+
+Questions to [David Rotermund](mailto:davrot@uni-bremen.de)
+
+## [numpy.concatenate]()
+
+```python
+numpy.concatenate((a1, a2, ...), axis=0, out=None, dtype=None, casting="same_kind")
+```
+
+> Join a sequence of arrays along an existing axis.
+
+```python
+import numpy as np
+
+a = np.arange(0, 5)
+print(a)  # -> [0 1 2 3 4]
+print(a.shape)  # -> (5,)
+b = np.arange(0, 8)
+print(b)  # -> [0 1 2 3 4 5 6 7]
+print(b.shape)  # -> (8,)
+
+c = np.concatenate((a, b))
+print(c)  # -> [0 1 2 3 4 0 1 2 3 4 5 6 7]
+print(c.shape)  # -> (13,)
+print(np.may_share_memory(a, c))  # -> False (Copy)
+
+c = np.concatenate((a, b), axis=0)
+print(c)  # -> [0 1 2 3 4 0 1 2 3 4 5 6 7]
+print(c.shape)  # -> (13,)
+print(np.may_share_memory(a, c))  # -> False (Copy)
+
+c = np.concatenate(
+    (a, b), axis=1
+)  # AxisError: axis 1 is out of bounds for array of dimension 1
+```
+
+concatenate does not add necessary dimensions, you have to do that yourself: 
+
+```python
+import numpy as np
+
+a = np.arange(0, 10)
+print(a.shape)  # -> (10,)
+b = np.arange(0, 10)
+print(b.shape)  # -> (10,)
+
+c = np.concatenate((a, b), axis=0)
+print(c.shape)  # -> (20,)
+
+c = np.concatenate((a, b), axis=1)  # AxisError: axis 1 is out of bounds for array of dimension 1
+```
+
+
+```python
+import numpy as np
+
+a = np.arange(0, 10)[:, np.newaxis]
+print(a.shape)  # -> (10,1)
+b = np.arange(0, 10)[:, np.newaxis]
+print(b.shape)  # -> (10,1)
+
+c = np.concatenate((a, b), axis=0)
+print(c.shape)  # -> (20,1)
+
+c = np.concatenate((a, b), axis=1)
+print(c)
+print(c.shape)  # -> (10,2)
+```
+
+```python
+[[0 0]
+ [1 1]
+ [2 2]
+ [3 3]
+ [4 4]
+ [5 5]
+ [6 6]
+ [7 7]
+ [8 8]
+ [9 9]]
+```
+