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
Selecting the Number of Rows to Import from Excel Sheet with Pandas
Python
Import and Export
To select how many rows to import from an Excel sheet into a Pandas dataframe then pass the number using the "nrows" parameter. Note that Pandas will import whichever rows in encounters first.
For the example below, we are reading the first 500 rows from the Returns Excel sheet.
1| import pandas as pd 2| 3| df = pd.read_excel('Returns.xlsx', sheet_name='Returns', nrows=500)
2
Creating a Pandas DataFrame from a Python Generator
Python
Import and Export
2
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2
Reading CSV Files from Amazon S3 into Pandas Dataframes
Python
Import and Export
1
Sklearn Iris Dataset - Load The Iris Dataset & Split Into Features & Target
Python
Import and Export
1
Using Selectors in Beautiful Soup to Scrape Using Classes & IDs
Python
Import and Export
1
1
1
Find the Nth Tag On a WebPage with Beautiful Soup
Python
Import and Export
1