In Python i have one function that has try and except block in it suppose if i have 3 to 5 errors in that try block i need to capture every error and store it as a dictionary

i created the dictionary to store in it but only single error is storing i need every error to be stored

import io
import pyarrow.parquet as pq
import pandas as pd
import boto3

# AWS credentials and session token
aws_access_key_id = #####
aws_secret_access_key = #####
aws_session_token = #######
region_name = 'us-east-1'  # Specify your AWS region here

# Initialize session and clients
session = boto3.session.Session(
    aws_access_key_id=aws_access_key_id,
    aws_secret_access_key=aws_secret_access_key,
    aws_session_token=aws_session_token,
    region_name=region_name
)

s3 = session.client('s3')
sns = session.client('sns')
Topic_Arn = "arn:aws:sns:us-east-1:614414489128:Capturing_Every_Errors"

def read_parquet_from_s3(bucket_name, file_key, s3_client):
    error_messages = []  # Initialize an empty list to store error messages

    try:
        # Read the Parquet file from S3
        s3_object = s3_client.get_object(Bucket=bucket_name, Key=file_key)
        parquet_content = s3_object['Body'].read()

        a = ajay

        # Load the Parquet content into a pyarrow table
        parquet_table = pq.read_table(io.BytesIO(parquet_content))

        b = xyz

        # Convert to a Pandas DataFrame
        df = parquet_table.to_pandas()

        return df

    except Exception as e:
        error_messages.append(str(e))  # Append error message to list
        print(f"An error occurred: {e}")

    # Send SNS notification with all accumulated errors
    if error_messages:
        error_message = "n".join(error_messages)
        send_sns_notification(error_message)

    return None

def send_sns_notification(message):
    try:
        sns.publish(
            TopicArn=Topic_Arn,
            Message=message,
            Subject="Error Notification from S3 Parquet Reader"
        )
        print("SNS Sent Successful")
    except Exception as (e):
        print(f"Failed to send SNS notification: {e}")

# Example usage
s3_bucket_name = ########
s3_input_key = ########

# Read the Parquet file from S3 and get the DataFrame
df = read_parquet_from_s3(s3_bucket_name, s3_input_key, s3)

if df is not None:
    print(df)
else:
    print("Failed to read the Parquet file.")`

for this code i need to get the multiple error that should be stored in the error dictionary