Unexpected Python KeyError python

I have loaded a CSV file

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
from scipy.stats import norm

This data will then be loaded

data = pd.read_csv('data.csv')

Print data

print(data.columns)

output :Index(['age;SEX;bmi;bp;S1;S2;S3;S4;S5;S6;Y'], dtype='object')

Get column 'age', 'bmi', and 'bp'

age_data = data ['age'].values
bmi_data = data ['bmi'].values
bp_data = data ['bp'].values

and the error:

KeyError: 'age'

Can anyone see where I'm going wrong? This error is generated when you try to grab data from a column which doesn't match the name, or if the column doesn't have that header namne. However, it does.

Error Information:

/usr/local/lib/python3.10/dist-packages/pandas/_libs/index.pyx in pandas._libs.index.IndexEngine.get_loc()
/usr/local/lib/python3.10/dist-packages/pandas/_libs/index.pyx in pandas._libs.index.IndexEngine.get_loc()
pandas/_libs/hashtable_class_helper.pxi in pandas._libs.hashtable.PyObjectHashTable.get_item()
pandas/_libs/hashtable_class_helper.pxi in pandas._libs.hashtable.PyObjectHashTable.get_item()
KeyError: 'age'
The above exception was the direct cause of the following exception:
KeyError                                  Traceback (most recent call last)
<ipython-input-12-92eb9b4ecfe3> in <cell line: 2>()
1 # Mendapatkan kolom 'age', 'bmi', dan 'bp'
----> 2 age_data = data ['age'].values
3 bmi_data = data ['bmi'].values
4 bp_data = data ['bp'].values
5 # Menghitung jumlah kemunculan setiap jenis kelamin
/usr/local/lib/python3.10/dist-packages/pandas/core/frame.py in __getitem__(self, key)
3805             if self.columns.nlevels > 1:
3806                 return self._getitem_multilevel(key)
-> 3807             indexer = self.columns.get_loc(key)
3808             if is_integer(indexer):
3809                 indexer = [indexer]
/usr/local/lib/python3.10/dist-packages/pandas/core/indexes/base.py in get_loc(self, key, method, tolerance)
3802                 return self._engine.get_loc(casted_key)
3803             except KeyError as err:
-> 3804                 raise KeyError(key) from err
3805             except TypeError:
3806                 # If we have a listlike key, _check_indexing_error will raise
KeyError: 'age'

You table is delimited with semicolons (;), but you used the default value for sep parameter in read_csv (a comma ,)

Try: pandas.read_csv(filename, sep=“;”)

IF you look at the output when you print the data, you get:

output :Index(['age;SEX;bmi;bp;S1;S2;S3;S4;S5;S6;Y'], dtype='object')

where the index is the entire first line as one blob. if you print out the whole dataframe:

print(data)

You should see that everything is in the first column. You'll need to separate by semi-colon ';' instead of comma, as the other commenter noted.