Building medals DataFrame

Here, you'll start with the DataFrame editions from the previous exercise.

You have a sequence of files summer_1896.csv, summer_1900.csv, …, summer_2008.csv, one for each Olympic edition (year).

You will build up a dictionary medals_dict with the Olympic editions (years) as keys and DataFrames as values.

The dictionary is built up inside a loop over the year of each Olympic edition (from the Index of editions).

Once the dictionary of DataFrames is built up, you will combine the DataFrames using pd.concat().

Within the for loop:
- Create the file path. This has been done for you.
- Read file_path into a DataFrame. Assign the result to the year key of medals_dict.
- Select only the columns 'Athlete', 'NOC', and 'Medal' from medals_dict[year].
- Create a new column called 'Edition' in the DataFrame medals_dict[year] whose entries are all year.
Concatenate the dictionary of DataFrames medals_dict into a DataFame called medals. Specify the keyword argument ignore_index=True to prevent repeated integer indices.
Print the first and last 5 rows of medals. This has been done for you, so hit 'Submit Answer' to see the result!