image_output_1.png
import matplotlib.pyplot as plt

import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

items = pd.read_csv('/kaggle/input/competitive-data-science-predict-future-sales/items.csv')
shops_data = pd.read_csv('/kaggle/input/competitive-data-science-predict-future-sales/shops.csv')
sales_train = pd.read_csv('/kaggle/input/competitive-data-science-predict-future-sales/sales_train.csv')
test = pd.read_csv('/kaggle/input/competitive-data-science-predict-future-sales/test.csv')
sample_submission = pd.read_csv('/kaggle/input/competitive-data-science-predict-future-sales/sample_submission.csv')
item_category = pd.read_csv('/kaggle/input/competitive-data-science-predict-future-sales/item_categories.csv')

plt.figure(figsize=(13, 5))
plt.subplot(121)
plt.scatter(sales_train.shop_id, sales_train.item_id)
plt.xlabel('shop_id')
plt.ylabel('item_id')
plt.title('train_data')
plt.subplot(122)
plt.scatter(test.shop_id, test.item_id)
plt.xlabel('shop_id')
plt.ylabel('item_id')
plt.title('test_data')
plt.show()