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)


        

Answer 1

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])))

Answer 2

Using set_value generates the warning:

FutureWarning: set_value is deprecated and will be removed in a future release. Please use .at[] or .iat[] accessors instead

So you can instead use at like this:

input.at[input.index[-1]+1]=6

Answer 3

here is a one-line answer It is dependent on how the array is defined. If we use Series is a one d array. Use the array notation like x[index] = new value

example

import pandas as pd
input = pd.Series([1,2,3,4,5])
newval = 7 # say
input[len(input)] = newval

or use append if the array is being directly defined.

#if input is defined as []
input2 = [1, 2]
#input2[len(input2)] = 3 # does not work
input2.append(3) #works
input2