Change columns format when reading in csv file

I have this csv file (called df.csv):

I read it in using this code:

import pandas as pd
df = pd.read_csv('df.csv')

and I print it out using this code:

print(df)

and the output of the print looks like this:

  employment_type    ltv
0                       
1                       
2        Salaried  77.13
3        Salaried   77.4
4        Salaried  76.42
5        Salaried  71.89

As you can see, the first two records are empty. I check the dataframe info with this code:

print(df.info())

and the output looks like this:

 #   Column           Non-Null Count  Dtype 
---  ------           --------------  ----- 
 0   employment_type  6 non-null      object
 1   ltv              6 non-null      object

Now, I would expect that:

• employment_type would have been read in as object (and that meets my expectations)
• ltv would have been read in as float

I guess that the reason why both fields have been read in as objects is because of the first empty record, correct?

Whilst I am happy for employment_type to be read in as an object, how can I read in the ltv field as numeric? I don't want to modify the format after I have read the file in. I need to find a way to automatically assign the correct format whilst reading in the file: I will have to read in some similar files with hundreds of columns and I can't manually assign the correct format to each column.