pysal | PySAL : Python Spatial Analysis Library Meta-Package | Map library

The issue is related to the Coordinate Reference System of the shapefile.

Looking at coords.crs shows EPSG:28992.

You can get hvplot to work with this:

You don't mention how many columns are in your file. That can have a significant impact on how long the following takes. The code below takes about 70 seconds on 1.3 million records with 33 columns. However, when the number of columns is reduced to 10, the time it takes is ~25 seconds.

This code does not take into account memo fields.

I am using Ethan Furman's .dbf library https://pypi.org/project/dbf/

A .dbf file is a fixed width format file with a bit of metadata describing the columns, record counts, etc...

Pandas has a read_fwf function that you can use to read the data portion of the .dbf file, passing along the column widths and names.

The easiest thing you can do is to download it from Christoph Gohlke's site. You can install the whl file in your virtual environment by running

pip install [path to the whl file]

in your pycharm terminal.

Try this as a starting point:

Sal is type string so change sal to:

The traceback indicates that the error is not coming from pysal, but from rtree.

The first Google result for "rtree install error" is this github thread which contains this answer, indicating that rtree installation requires libspatialindex.

With that in mind, you can run the following to install pysal in Colab:

pysal released breaking changes with version 2. open is no longer a top level import.

You can still open shapefiles with pysal, but you’ll need to first import pysal.lib.io.open

import pysal.lib.io.open pysal.lib.io.open('Path/to/file.shp')

GeoDataFrame.plot provides a legend_kwds argument, which expects a dictionary. This dictionary will be passed on to either .legend or .colorbar, depending on what kind of plot you produce. So the arguments loc='upper left', bbox_to_anchor=(1, 1) will need to go into that dictionary like