Convert array to time series data using DataFrame

Question

I have a DataFrame that looks like this:

    id  date        count
0   a   1-Aug-2018  8
1   b   1-Aug-2018  34
2   c   1-Aug-2018  56
3   e   1-Aug-2018  78
4   a   2-Aug-2018  99
5   b   2-Aug-2018  42
6   f   1-Aug-2018  45
7   c   2-Aug-2018  88
8   b   4-Aug-2018  123
9   b   3-Aug-2018  13
10  d   3-Aug-2018  21
11  a   3-Aug-2018  41

What I want to achieve is

1. create a column from each unique date
2. create a row for each id
3. put the count values in the corresponding cell

---

id  1-Aug-2018  2-Aug-2018  3-Aug-2018  4-Aug-2018
a   8           99          41          -
b   34          42          13          123
c   56          88          -           -
d   -           -           21          -
e   78          -           -           -
f   45          -           -           -   

Is that possible with pandas DataFrame?