Pandas Drop: Delete DataFrame Rows & Columns
Learn how to delete rows & columns from Python Pandas DataFrames using drop(). For large removals, delete rows based on column values using iloc and loc.
data science
Plot your Fitbit data in Python (API v1.2)
Introduction Sleeping, and python. Two of my favourite things, when combined with the the Python Fitbit library, Matplotlib, and Pandas, can generate informative plots of your sleeping habits! This post explores how we can pull date from the Fitbit API, create a Pandas Dataframe, and then plot the results. In this tutorial, I’ve used Python …
Python Pandas read_csv – Load Data from CSV Files
CSV (comma-separated value) files are a common file format for transferring and storing data. The ability to read, manipulate, and write data to and from CSV files using Python is a key skill to master for any data scientist or business analysis. In this post, we’ll go over what CSV files are, how to read CSV files into Pandas DataFrames, and how to write DataFrames back to CSV files post analysis.
Word Embeddings in Python with Spacy and Gensim
This post shows how to load, use, and make your own word embeddings using Python. Use the Gensim and Spacy libraries to load pre-trained word vector models from Google and Facebook, or train custom models using your own data and the Word2Vec algorithm. This post is a direct follow-on from the introductory Word Embeddings post, and will show you how to get started using word vectors with your own models and systems.
Get Busy with Word Embeddings – An Introduction
This post provides an introduction to “word embeddings” or “word vectors”. Word embeddings are real-number vectors that represent words from a vocabulary, and have broad applications in the area of natural language processing (NLP). We examine training, use, and properties of word embeddings models, and look at how and why you should look to use word embeddings over older bag-of-words techniques in your data science and language modelling tasks.
The Pandas DataFrame – loading, editing, and viewing data in Python
The Pandas DataFrame – this blog post covers the basics of loading, editing, and viewing data in Python, and getting to grips with the all-important data structure in Python – the Pandas Dataframe. Learn by example to load CSV files, rename columns, extract statistics, and select rows and columns.