#create and read csv with example
import pandas as pd

data = {'price':  ['8,006', '18,233', '25,086'],
        'rating': ['8', '8,6', '8,4'],
        }

df = pd.DataFrame (data, columns = ['price','rating'])
df.to_csv(r'task2.csv', index = False, header=True)
df2 = pd.read_csv('task2.csv')

print (df2.to_string())
0f80cb865e089ba76ef8bb1eff646dae4f16b28d
<mask token>

<mask token>
df.to_csv('task2.csv', index=False, header=True)
<mask token>
print(df2.to_string())

<mask token>
data = {'price': ['8,006', '18,233', '25,086'], 'rating': ['8', '8,6', '8,4']}
df = pd.DataFrame(data, columns=['price', 'rating'])
df.to_csv('task2.csv', index=False, header=True)
df2 = pd.read_csv('task2.csv')
print(df2.to_string())

import pandas as pd
data = {'price': ['8,006', '18,233', '25,086'], 'rating': ['8', '8,6', '8,4']}
df = pd.DataFrame(data, columns=['price', 'rating'])
df.to_csv('task2.csv', index=False, header=True)
df2 = pd.read_csv('task2.csv')
print(df2.to_string())

#create and read csv with example
import pandas as pd

data = {'price':  ['8,006', '18,233', '25,086'],
        'rating': ['8', '8,6', '8,4'],
        }

df = pd.DataFrame (data, columns = ['price','rating'])
df.to_csv(r'task2.csv', index = False, header=True)
df2 = pd.read_csv('task2.csv')

print (df2.to_string())