peartree | converting transit data into a directed graph | Web Services library
kandi X-RAY | peartree Summary
kandi X-RAY | peartree Summary
peartree: A library for converting transit data into a directed graph for sketch network analysis.
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Top functions reviewed by kandi - BETA
- Configure peartree
- Get a logger instance
- Log a message
- Make a string from a value
- Return a map of trip_times interpolated times in place
- Generate infilled times for a given trip
- Helper function for nanans
- Apply interpolation
- Generate the route cost for the given route
- Generate a DataFrame containing all observed edge cost costs
- Generate wait_times
- Generate the cost for a given route
- Get all TransitLineTransitLine instances
- Create all lines from self _lines
- Given a route shape and a set of geometry return a list of meter points
- Generate point array based on route shape
- Generate stop id
- Generate a random name
peartree Key Features
peartree Examples and Code Snippets
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Trending Discussions on peartree
QUESTION
I am trying to import a networkx graph object as a pickle using nx.read_gpickle, and am getting an error that pyproj.crs package does not exist. Heads up that I am using GOSTnets, a package developed for network analysis using networkx, geopandas, osmnx, and peartree.
I first constructed the graph, and then projected using osmnx.project_graph and saved using GOSTnets.save:
...ANSWER
Answered 2020-Jul-31 at 18:14You are using an outdated version of pyproj. For example, the current release of OSMnx requires pyproj>=2.6. Version 2.4 does not have the CRS module you are trying to use. Make sure you install OSMnx according to its installation instructions.
This is similar to the question answered here: Cannot import name 'CRS' from 'pyproj' for using the osmnx library
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install peartree
You can use peartree like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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