How do i write a jupyter code to compare the

first ten predictions for bikes rented to their actual values. Here is what I have so far.

# View examples comparing actual bike rentals to predicted bike rentals.

predicted$\_$bikes$\_$rented $=$ regressor.predict$($data$\_$test$)$

predictions $=$ data$\_$test$\_$labels.copy$()$

predictions$[\text{'}$predicted$\text{'}]=$ predicted$\_$bikes$\_$rented

# View examples comparing actual bike rentals to predicted bike rentals.

with pd$.$option$\_$context$(\text{'}$float$\_$format', $\text{'}$$$\{$:$,\mathrm{.}2$f$\}\text{'}.$format$)$: print$($ predictions.head$(10))$

The comparison is for a dollar value. I need to get a numerical value.