Secrets of Pandas: 5 Little-Known Features That Will Revolutionize Your Data Analysis
From Novice to Pro: Level Up Your Data Analysis Skills with These 5 Secret Pandas Features
Introduction
Pandas is a powerful Python library for data manipulation and analysis. Data scientists and analysts use it all the time to clean, change, and analyze data. While many people are familiar with the basic functionalities of Pandas, there are several lesser-known features that can help you work more efficiently and effectively with data. In this article, we will explore five lesser-known secrets about Pandas.
1. Pivot Table Functionality
The pivot table functionality in Pandas is a powerful tool for summarizing and aggregating data. It allows you to group data by one or more columns and apply aggregate functions to the grouped data. Here is an example of how to use the pivot_table function:
import pandas as pd
# load the Titanic dataset from GitHub
url = 'https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv'
df = pd.read_csv(url)
# create a pivot table that shows the total fares paid by passengers in each passenger class
# who either survived or did not survive
pivot = pd.pivot_table(df, index='Pclass', columns='Survived', values='Fare'…
