Python Pandas DataFrame: Transpose Rows and Columns for Fruit Sales Data

{"title":"Python Pandas DataFrame: Transpose Rows and Columns for Fruit Sales Data","description":"Learn how to create a Pandas DataFrame with fruit sales data, transpose rows and columns, and display the data in a user-friendly format using Python. This tutorial covers using the pandas library, data structures, and the transpose() function.","keywords":"Python, Pandas, DataFrame, Transpose, Rows, Columns, Fruit Sales, Data Analysis, Data Visualization","content":""import pandas as pd\n\ndata = {'2017 Sales': {'Apples': 35, 'Bananas': 21},\n '2018 Sales': {'Apples': 41, 'Bananas': 34}} \nfruit_sales = pd.DataFrame(data)\nfruit_sales = fruit_sales.transpose()\n\nprint(fruit_sales)\n"\n\n" Apples Bananas\n2017 Sales 35 21\n2018 Sales 41 34\n"}