How to print the three rows with the highest values in a single column in a pandas dataframe

I have a pd.dataframe that look like this:

    0   1
0   10  0.9679487179487178
1   38  0.9692307692307693
2   24  0.9833333333333332
3   62  0.9525641025641025
4   17  0.9679487179487178
5   23  0.9679487179487178
6   72  0.9679487179487178
7   22  0.9538461538461538
8   90  0.9525641025641025
9   32  0.9666666666666668

How can I ask python to print out something like this:
"Highest accuracy was 0.9833333333333332 using 24 features, second highest accuracy
was 0.9692307692307693 with 38 features, third highest accuracy was at 0.9679487179487178
with 10 features"

>Solution :

If you sort your dataframe by that accuracy like so:

df.sort_values(by=["1"], inplace=True)

And you want the three highest accuracies you can do:

for i in range(3):
   print(f"Top {i+1} accuracy was {df["1"].loc[i]} with {df["0"].loc[i]} features")

If you want to print exactly what you wrote on the question then just replace {i+1} with {order[i]} and create order = ["Highest", "Second Highest", "Third Highest"]