# Reading CSV files into a dictionary
import csv

healthcare_data = {}
with open(''''healthcare_data.csv'''', mode=''''r'''') as file:
    csv_reader = csv.DictReader(file)
    for row in csv_reader:
        patient_id = row["patient_id"]
        healthcare_data[patient_id] = {
            "name": row["name"],
            "age": row["age"],
            "gender": row["gender"],
            "diagnosis": row["diagnosis"]
        }

print(healthcare_data)

# Reading a CSV File with quotechar
import csv

with open(''''sample.csv'''', mode=''''r'''', newline='''''''') as file:
    reader = csv.reader(file, delimiter='''','''', quotechar=''''"'''')
    for row in reader:
        print(row)

# Writing to a CSV File with quotechar
import csv

data = [
    [''''Name'''', ''''Age'''', ''''City''''],
    [''''Alice'''', ''''25'''', ''''New York''''],
    [''''Bob'''', ''''30'''', ''''Los Angeles''''],
    [''''Charlie'''', ''''35'''', ''''Chicago'''']
]
with open(''''output.csv'''', mode=''''w'''', newline='''''''') as file:
    writer = csv.writer(file, delimiter='''','''', quotechar=''''"'''', quoting=csv.QUOTE_MINIMAL)
    for row in data:
        writer.writerow(row)

# Reading a CSV File into a pandas DataFrame
import pandas as pd

df = pd.read_csv(''''sample.csv'''', quotechar=''''"'''')
print(df)

# Writing a pandas DataFrame to a CSV File 
import pandas as pd

data = {
    ''''Name'''': [''''Alice'''', ''''Bob'''', ''''Charlie''''],
    ''''Age'''': [25, 30, 35],
    ''''City'''': [''''New York'''', ''''Los Angeles'''', ''''Chicago'''']
}
df = pd.DataFrame(data)
df.to_csv(''''output.csv'''', index=False, quotechar=''''"'''', quoting=csv.QUOTE_NONNUMERIC)