Data Preprocessing with Pandas
IMPORT DATA
CSV
EXCEL
SCRAPE DATA
PREPARE DATA
CONVERTING
CLEANING NANS
CLEANING STRINGS
SELECTING & RENAMING
SAMPLING
FILTERING
TRANSFORM
SUMMARISE
JOIN
MERGE
UNION
FEATURE ENGINEERING
WINDOW & LAG FEATURES
STRINGS
DATES
STATISTICS & FORMULAS
Using Selectors in Beautiful Soup to Scrape Using Classes & IDs
Python
Import and Export
Here we use a Beautiful Soup selector to get all the tags in a webpage with that uses the css class "links" and also the tag in the webpage with the css id "main_header".
1| import requests 2| from bs4 import BeautifulSoup 3| 4| response = requests.get('https://en.wikipedia.org/wiki/FTSE_100_Index') 5| parser = BeautifulSoup(response.content, 'html.parser') 6| 7| links = parser.select(".links") 8| 9| main_header = parser.select("#main_header")
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Creating a Pandas DataFrame from a Python Generator
Python
Import and Export
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Reading CSV Files from Amazon S3 into Pandas Dataframes
Python
Import and Export
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Sklearn Iris Dataset - Load The Iris Dataset & Split Into Features & Target
Python
Import and Export
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Find the Nth Tag On a WebPage with Beautiful Soup
Python
Import and Export
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