How can I plot a simple plot with seaborn from a python dictionary?

I have a dictionary like this:

my_dict = {'Southampton': '33.7%', 'Cherbourg': '55.36%', 'Queenstown': '38.96%'}

How can I have a simple plot with 3 bars showing the values of each key in a dictionary?

I've tried:

sns.barplot(x=my_dict.keys(), y = int(my_dict.values()))

But I get :

TypeError: int() argument must be a string, a bytes-like object or a number, not 'dict_values'

Solution

There are several issues in your code:

You are trying to convert each value (eg "xx.xx%") into a number. my_dict.values() returns all values as a dict_values object. int(my_dict.values())) means converting the set of all values to a single integer, not converting each of the values to an integer. The former, naturally, makes no sense.
Python can't interpret something like "12.34%" as an integer or a float. You need to remove the percentage sign, ie float("12.34%"[:-1]).
Dictionaries are not ordered. Therefore, my_dict.keys() and my_dict.values() are not guaranteed to return keys and values in the key-value pairs in the same order, for example, the keys you get may be ['Southampton', 'Cherbourg', 'Queenstown'] and the values you get may be "55.36%", "33.7", "38.96%". This is no longer a problem in Python >= 3.7 and CPython 3.6; see @AmphotericLewisAcid's comment below.

With all these issues fixed:

keys = list(my_dict.keys())
# get values in the same order as keys, and parse percentage values
vals = [float(my_dict[k][:-1]) for k in keys]
sns.barplot(x=keys, y=vals)

You get: