Pandas read_csv, ignore first cell

I have .csv file like this:

Str;  Int; Flt
  A;  123; 0.1
  B;  456; 0.2
  C;  789; 0.3

I want to get DataFrame like this

   Int; Flt
A; 123; 0.1
B; 456; 0.2
C; 789; 0.3

I read csv like this

df = pd.read_csv('data.csv', index_col=0, sep=";")

And the problem is that I can’t use df.loc["A", "Int"] to get cell value.
If I drop Str; from csv everything works fine.

So the idea is to use first row as row names and first column as column names. I understand that first element can’t be used both as col name and row name, is there any way to drop such ambigous value?

>Solution :

Use: index_col='Str' instead of index_col=0

Edited script:

import pandas as pd 

df = pd.read_csv("test.csv", sep=";", index_col='Str')

print(df.loc["A", "Int"])

output: 123