~hackernoon | Bookmarks (4)

In Python, you can use the pandas library to work with tabular data. The core data type in pandas is the DataFrame. Sometimes, when working with DataFrame data, you may need to convert rows to columns or columns to rows. Here is a simple example demonstrating how to achieve this.

In data analysis and manipulation, it is common to combine or concatenate multiple tables to create a single data structure for analysis. Pandas, a popular Python library for data manipulation and analysis, provides a `concat()` function that allows you to combine tables either horizontally or vertically. In this article, we will demonstrate how to use the `conCat()' function in pandas to concaternate tables horizontally...

import matplotlib.pyplot as plt, numpy as numpy, data as data. Data.Data (men, women, men, women) = 5. Data (men) = (20, 35, 30, 35), women_means = (25, 32, 34, 20, 25) x-axis position = 0.35, y-axisposition = 1, width of each bar at 0.5, height of each axis at 1.5. Y-axis height = 1.