Pinned Repositories
dtalite_software_release
DTALite-NEXTA Software Release
GMNS
General Modeling Network Specification
Integrated_modeling_GMNS
AMS data Hub that connects all transportation modeling tools based on GMNS format
osmnx
OSMnx: Python for street networks. Retrieve, model, analyze, and visualize street networks and other spatial data from OpenStreetMap.
Path4GMNS
An open-source, cross-platform, lightweight, and fast Python path engine for networks encoded in GMNS.
pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
pyecharts
🎨 Python Echarts Plotting Library
requests
Python HTTP Requests for Humans™ ✨🍰✨
urban-traffic-speed-dataset-Guangzhou
A dataset for understanding urban transportation. This is an urban traffic speed dataset, which consists of 214 anonymous road segments within two months (i.e., from August 1, 2016 to September 30, 2016) at 10-minute interval, and the speed observations were collected in Guangzhou, China.
mrapostrophe's Repositories
mrapostrophe/GMNS
General Modeling Network Specification
mrapostrophe/Path4GMNS
An open-source, cross-platform, lightweight, and fast Python path engine for networks encoded in GMNS.
mrapostrophe/dtalite_software_release
DTALite-NEXTA Software Release
mrapostrophe/Integrated_modeling_GMNS
AMS data Hub that connects all transportation modeling tools based on GMNS format
mrapostrophe/osmnx
OSMnx: Python for street networks. Retrieve, model, analyze, and visualize street networks and other spatial data from OpenStreetMap.
mrapostrophe/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
mrapostrophe/pyecharts
🎨 Python Echarts Plotting Library
mrapostrophe/requests
Python HTTP Requests for Humans™ ✨🍰✨
mrapostrophe/urban-traffic-speed-dataset-Guangzhou
A dataset for understanding urban transportation. This is an urban traffic speed dataset, which consists of 214 anonymous road segments within two months (i.e., from August 1, 2016 to September 30, 2016) at 10-minute interval, and the speed observations were collected in Guangzhou, China.