Knowledge Graph — Coursera Notes › Academic disciplines › Information Technology / Computer Science › Artificial Intelligence › Machine Learning & Data › Data preprocessing › Data cleaning
pandas
service · part of Data cleaning
A Python library for data manipulation and storage, used to save scraped data to CSV.
It provides DataFrame structures for loading datasets and performing input validation, such as checking for missing values with isnull().values.any().
import pandas as pd
df = pd.read_csv('your-dataset.csv')
Inside pandas (3)
- df.describe() — A pandas method that generates summary statistics, used to confirm outliers are removed.
- df.head() — A pandas method to view the first few rows, used to verify scaling was applied.
- df.select_dtypes — A pandas method to select columns of specific data types, used here to restrict outlier removal to numeric columns.
Connections
- Used for Web scraping
- Used for Data cleaning
- Related to Python
- Related to Data cleaning
- Related to df.isnull().sum()
- Related to CSV
- Related to to_pandas
This is the text view of an interactive 3D knowledge graph — open this page with JavaScript enabled to explore it visually.