iopyy.blogg.se - G code plotting python

(Otherwise, you may end up with many conflicts that prohibit you from installing the packages you want.) If you’ve followed the steps in my previous blog post to set up that environment, you should be all set to install GeoPandas (and pandas) in your environment (after activating it), using the command, I found that to install GeoPandas, it is best to create a new conda environment and install everything through the conda-forge channel. If you’ve never used GeoPandas, you may want to read this RCS blog post to get started.Īs usual, I recommend working with Anaconda’s Python distribution and installing these packages using conda. (I used rasterio in last month’s blog post as well.) GeoPandas is the “go to” package in Python for working with geospatial data sets, and, as the name suggests, provides much of the functionality that pandas offers as well. Rasterio is a great package for plotting and manipulating GeoTIFF files.

I will assume that you already have a decent handle on how to use matplotlib. The three primary Python packages that I’ll use to plot these data are matplotlib, rasterio and GeoPandas. I exported it from the website as a Shapefile.

Zip code boundaries in Chicago: this dataset provides the shapes of each of the zip code regions in Chicago.

I exported it from the website in CSV format.

Historical 311 service requests reporting potholes: this dataset provides the report date, zip code, and more, for about half a million 311 reports between 20.

For this post, I’m going to work with two data files: I encourage you to peruse the different datasets there many have geospatial information (e.g., latitude and longitude columns, POINT objects, POLYGON geometries, etc.). Let’s use the Chicago map that we downloaded previously along with some of the fantastic data available at the Chicago Data Portal. Over the past few weeks, I imagine that you’ve downloaded satellite imagery to your heart’s content, and now you may be wondering, “How can I plot my favorite geospatial dataset on top of this awesome satellite image using Python?” This blog post will help get you started toward answering that question.

I also shared my code in this GitHub repo so that you all can use it freely. Last month I wrote a blog post diving into the nitty gritty details about how to download a satellite image as a GeoTIFF file using Google’s Earth Engine API in Python.