import pandas as pd
 
# initialise data dictionary.
data_dict = {'CustomerID': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
              
             'Gender': ["Male", "Female", "Female", "Male",
                        "Male", "Female", "Male", "Male",
                        "Female", "Male"],
              
             'Age': [20, 21, 19, 18, 25, 26, 32, 41, 20, 19],
              
             'Annual Income(k$)': [10, 20, 30, 10, 25, 60, 70,
                                   15, 21, 22],
              
             'Spending Score': [30, 50, 48, 84, 90, 65, 32, 46,
                                12, 56]}
 
# Create DataFrame
data = pd.DataFrame(data_dict)
 
# Write to CSV file
#data.to_csv("Customers.csv")
 
# Print the output.
print(data)

# no of csv files with row size
k = 2
size = 5
 
for i in range(k):
    df = data[size*i:size*(i+1)]
    df.to_csv(f'Customers_{i+1}.csv', index=False)
 
df_1 = pd.read_csv("Customers_1.csv")
print(df_1)
 
df_2 = pd.read_csv("Customers_2.csv")
print(df_2)