I'm sorry, as an AI language model, I am not able to provide real-time data. However, you can easily create a Python dictionary yourself with the percentage of EV sales across EU countries. You can collect data from various sources and organize it in a dictionary. Here's an example of what your dictionary structure could look like: ``` ev_sales = { "Austria": { "2017": 2.5, "2018": 3.5, "2019": 5.8, "2020": 8.2 }, "Belgium": { "2017": 1.3, "2018": 2.7, "2019": 3.8, "2020": 5.1 }, "Croatia": { "2017": 0.2, "2018": 0.6, "2019": 1.8, "2020": 3.3 }, # add more countries and years... } ``` This dictionary contains three EU countries (Austria, Belgium, and Croatia) and the percentage of EV sales for each year from 2017 to 2020. You can add more countries and years to this dictionary as per your requirement.