Good job. To delete a row, use dataframe.drop(). It's the same function we used when removing columns. This time, though, we'll use axis=0:
hospitals = hospitals.drop(0, axis=0)
The code above will delete the first row of the hospitals DataFrame.
Note that axis=0 is the default value of drop(), so you can omit it. In that case, the expression becomes very simple:
hospitals = hospitals.drop(0)
By default, drop(...) works with labels. If your index is set to something other than that sequential numbers, you can use index labels in drop(...):
hospitals = hospitals.set_index('Phone Number')
hospitals = hospitals.drop(8643665011)Set Country as the index of eu_states. Next, delete the row with label United Kingdom from the DataFrame.
To set the index, use:
eu_states = eu_states.set_index('Country')
