Finds, downloads, parses, and standardizes public bikeshare data into a standard pandas dataframe format

Related tags

Data Analysisopendata
Overview

opendata

Finds, downloads, parses, and standardizes public bikeshare data into a standard pandas dataframe format.

import asyncio
from opendata.sources.bikeshare.bay_wheels import trips as bay_wheels

trips_df, _ = asyncio.run(bay_wheels.async_load(trip_sample_rate=1000))

len(trips_df.index)
# 8731

trips_df.columns
# Index(['started_at', 'ended_at', 'start_station_id', 'end_station_id',
#        'start_station_name', 'end_station_name', 'rideable_type', 'ride_id',
#        'start_lat', 'start_lng', 'end_lat', 'end_lng', 'gender', 'user_type',
#        'bike_id', 'birth_year'],
#       dtype='object')

An example analysis can be found here: https://observablehq.com/@brady/bikeshare

Supports sampling and local file caching to improve performance.

Markets supported

import opendata.sources.bikeshare.bay_wheels
import opendata.sources.bikeshare.bixi
import opendata.sources.bikeshare.divvy
import opendata.sources.bikeshare.capital_bikeshare
import opendata.sources.bikeshare.citi_bike
import opendata.sources.bikeshare.cogo
import opendata.sources.bikeshare.niceride
import opendata.sources.bikeshare.bluebikes
import opendata.sources.bikeshare.metro_bike_share
import opendata.sources.bikeshare.indego

Bootstrap

Set up your environment

brew install chromedriver
brew install python3
python3 -m pip install pre-commit
pre-commit install --install-hooks
python3 -m venv venv
source venv/bin/activate
python3 -m pip install -r requirements.txt

Entering virtualenv

python3 -m venv venv
source venv/bin/activate
python3 -m pip install -r requirements.txt

Usage

Try the test export to CSV:

python3 test.py

Updating pip requirements

pip-compile

Pre-commit setup

pre-commit install --install-hooks

Bikeshare markets to add

USA

  • 119k/yr Pittsburgh (google drive links)
  • 180k/yr Austin (date and time fields separate)

World

  • 3868k/yr Ecobici (need station CSV)
  • 2900k/yr Toronto (needs more investigation)
  • 650k/yr Vancouver (google drive links)
Owner
Brady Law
prev SWE @lyft and @apple
Brady Law
MeSH2Matrix - A set of Python codes for the generation of biomedical ontologies from the MeSH keywords of the PubMed scholarly publications

A set of Python codes for the generation of biomedical ontologies from the MeSH keywords of the PubMed scholarly publications

SisonkeBiotik 6 Nov 30, 2022
Toolchest provides APIs for scientific and bioinformatic data analysis.

Toolchest Python Client Toolchest provides APIs for scientific and bioinformatic data analysis. It allows you to abstract away the costliness of runni

Toolchest 11 Jun 30, 2022
Statistical Analysis πŸ“ˆ focused on statistical analysis and exploration used on various data sets for personal and professional projects.

Statistical Analysis πŸ“ˆ This repository focuses on statistical analysis and the exploration used on various data sets for personal and professional pr

Andy Pham 1 Sep 03, 2022
Deep universal probabilistic programming with Python and PyTorch

Getting Started | Documentation | Community | Contributing Pyro is a flexible, scalable deep probabilistic programming library built on PyTorch. Notab

7.7k Dec 30, 2022
Sample code for Harry's Airflow online trainng course

Sample code for Harry's Airflow online trainng course You can find the videos on youtube or bilibili. I am working on adding below things: the slide p

102 Dec 30, 2022
MDAnalysis is a Python library to analyze molecular dynamics simulations.

MDAnalysis Repository README [*] MDAnalysis is a Python library for the analysis of computer simulations of many-body systems at the molecular scale,

MDAnalysis 933 Dec 28, 2022
peptides.py is a pure-Python package to compute common descriptors for protein sequences

peptides.py Physicochemical properties and indices for amino-acid sequences. πŸ—ΊοΈ Overview peptides.py is a pure-Python package to compute common descr

Martin Larralde 32 Dec 31, 2022
Additional tools for particle accelerator data analysis and machine information

PyLHC Tools This package is a collection of useful scripts and tools for the Optics Measurements and Corrections group (OMC) at CERN. Documentation Au

PyLHC 3 Apr 13, 2022
MIR Cheatsheet - Survival Guidebook for MIR Researchers in the Lab

MIR Cheatsheet - Survival Guidebook for MIR Researchers in the Lab

SeungHeonDoh 3 Jul 02, 2022
Python for Data Analysis, 2nd Edition

Python for Data Analysis, 2nd Edition Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media Buy

Wes McKinney 18.6k Jan 08, 2023
Helper tools to construct probability distributions built from expert elicited data for use in monte carlo simulations.

Elicited Helper tools to construct probability distributions built from expert elicited data for use in monte carlo simulations. Credit to Brett Hoove

Ryan McGeehan 3 Nov 04, 2022
Handle, manipulate, and convert data with units in Python

unyt A package for handling numpy arrays with units. Often writing code that deals with data that has units can be confusing. A function might return

The yt project 304 Jan 02, 2023
Datashredder is a simple data corruption engine written in python. You can corrupt anything text, images and video.

Datashredder is a simple data corruption engine written in python. You can corrupt anything text, images and video. You can chose the cha

2 Jul 22, 2022
PipeChain is a utility library for creating functional pipelines.

PipeChain Motivation PipeChain is a utility library for creating functional pipelines. Let's start with a motivating example. We have a list of Austra

Michael Milton 2 Aug 07, 2022
This repo is dedicated to the data extraction and manipulation of the World Bank's database called STEP.

Overview Welcome to the Step-X repository. This repo is dedicated to the data extraction and manipulation of the World Bank's database called STEP. Be

Keanu Pang 0 Jan 20, 2022
Used for data processing in machine learning, and help us to construct ML model more easily from scratch

Used for data processing in machine learning, and help us to construct ML model more easily from scratch. Can be used in linear model, logistic regression model, and decision tree.

ShawnWang 0 Jul 05, 2022
This repository contains some analysis of possible nerdle answers

Nerdle Analysis https://nerdlegame.com/ This repository contains some analysis of possible nerdle answers. Here's a quick overview: nerdle.py contains

0 Dec 16, 2022
Data Competition: automated systems that can detect whether people are not wearing masks or are wearing masks incorrectly

Table of contents Introduction Dataset Model & Metrics How to Run Quickstart Install Training Evaluation Detection DATA COMPETITION The COVID-19 pande

Thanh Dat Vu 1 Feb 27, 2022
This is a tool for speculation of ancestral allel, calculation of sfs and drawing its bar plot.

superSFS This is a tool for speculation of ancestral allel, calculation of sfs and drawing its bar plot. It is easy-to-use and runing fast. What you s

3 Dec 16, 2022
Tuplex is a parallel big data processing framework that runs data science pipelines written in Python at the speed of compiled code

Tuplex is a parallel big data processing framework that runs data science pipelines written in Python at the speed of compiled code. Tuplex has similar Python APIs to Apache Spark or Dask, but rather

Tuplex 791 Jan 04, 2023