Codecademy export

script.py

import codecademylib
import pandas as pd
inventory = pd.read_csv('inventory.csv')
inventory.head(10)

staten_island = inventory[0:10]
print(staten_island)

product_request = staten_island.product_description
print(product_request)

seed_request = inventory[(inventory.location == 'Brooklyn') & (inventory.product_type == 'seeds')]
print(seed_request)

inventory['in_stock'] = inventory.apply(lambda x: True if x['quantity'] > 0 else False, axis = 1)
print(inventory.head())

inventory['total_value'] = inventory.apply(lambda x: x.price * x.quantity, axis = 1)
print(inventory.head())

combine_lambda = lambda row: \
    '{} - {}'.format(row.product_type,
                     row.product_description)
inventory['full_discription'] = inventory.apply(lambda x: (x.product_type, x.product_description), axis = 1)
print(inventory.head())