Add item to pandas.Series?

Question

I want to add an integer to my `pandas.Series` Here is my code: ``` import pandas as pd input = pd.Series([1,2,3,4,5]) input.append(6) ``` When i run this, i get the following error: ``` Traceback (most recent call last): File "", line 1, in f.append(6) File "C:\Python33\lib\site-packages\pandas\core\series.py", line 2047, in append verify_integrity=verify_integrity) File "C:\Python33\lib\site-packages\pandas ools\merge.py", line 878, in concat verify_integrity=verify_integrity) File "C:\Python33\lib\site-packages\pandas ools\merge.py", line 954, in __init__ self.new_axes = self._get_new_axes() File "C:\Python33\lib\site-packages\pandas ools\merge.py", line 1146, in _get_new_axes concat_axis = self._get_concat_axis() File "C:\Python33\lib\site-packages\pandas ools\merge.py", line 1163, in _get_concat_axis indexes = [x.index for x in self.objs] File "C:\Python33\lib\site-packages\pandas ools\merge.py", line 1163, in indexes = [x.index for x in self.o…

Accepted Answer

Convert appended item to `Series`:

```
>>> ds = pd.Series([1,2,3,4,5]) 
>>> ds.append(pd.Series([6]))
0    1
1    2
2    3
3    4
4    5
0    6
dtype: int64
```

or use `DataFrame`:

```
>>> df = pd.DataFrame(ds)
>>> df.append([6], ignore_index=True)
   0
0  1
1  2
2  3
3  4
4  5
5  6
```

and last option if your index is without gaps,

```
>>> ds.set_value(max(ds.index) + 1,  6)
0    1
1    2
2    3
3    4
4    5
5    6
dtype: int64
```

And you can use numpy as a last resort:

```
>>> import numpy as np
>>> pd.Series(np.concatenate((ds.values, [6])))
```

Add item to pandas.Series?

Solution

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