Read Kml File Python Geopandas

The main trick here is to embed HTML tags for the description and thumbnail image links within a CDATA-bounded description section. I wrote a script in python to parse the file using beautifulsoup module and generate kml file using simplekml module Import kml file into google earth pro I wrote a python script that uses same logic as surf tracker to identify start and stop points and only keep data in between. i downloaded the file with name: 27032015-itwl4cll. This recipe shows how to close a raster dataset. Today we're going to read a SHP file, change its Coordinate Reference System (CRS), add a new attribute, and save a new file in two different formats. pth file of your environment that Python has to look inside site-packages of the ArcGIS Python folder, you will be able to import arcpy. Create a KML file with Python. One of the biggest advantages to Python is the impressive amount of libraries which act like pluggable tools to use for many different tasks. This open Python spatial notebook running in Colab demonstrates open source GIS software like Shapely, GeoPandas, and PostGIS. Polygon or shapely. Running your workflow caches your data and makes it accessible to the Python tool. Each line of the file is a data record. For a project recently I needed to produce a geographical heatmap with millions of data points. The ArcGIS Pro 1. Import CSV Files Into Pandas Dataframes. I used GeoPandas to round the former two quantities and the ogr2ogr command line tool to round the coordinates. Too bad cleaning isn't as fun for data scientists as it is for this little guy. KML (Keyhole Markup Language) is an XML based file format used to display geographic data in an Earth browser such as Google Earth, Google Maps, and Google Maps for mobile. I am fairly new to Python. Python3 tools for geographic data. The Pandas module is a high performance, highly efficient, and high level data analysis library. More than 2 years have passed since publication and the available tools have evolved a lot. Polycircles is a Python package that uses simplekml to create Polygonal circle approximation KMLs (because KML does not support circle geometry). All we need now is a bit of Python code to convert the data to GeoJson. Google Earth is the most photorealistic, digital version of our planet. ogr2ogr - this is a command line tool that converts one Ogr defined data source to another Ogr data source. It is used to represent spatial variations of a quantity. Think of it as a “poor man’s OGR” – a pure Python implementation of transforming features to and from various formats (largely XML based). This recipe shows how to close a raster dataset. KML Merger does not warrant that any of the materials on its web site are accurate, complete, or current. KML files are basically XML files, therefor the process is basically the same as getting data from any other XML File. about creating a python script that parses the Garmin XML file and dumps the training information to a KML file as well as various graphs (png or maybe SVG). The lesson reuses materials from Henrikki Tenkanen from the University of Helsinki, under CC-BY-SA from from AutoGIS GitHub repository. The shapefile format stores the data as primitive geometric shapes like points, lines, and polygons. The file looked something like this (not my actual transactions): Date,Description,Amount 2015-01-03,Cakes,22. As of 2018, GeoPandas appears to be the best open source solution for accessing GIS functions in Python. Researchers, government specialists and professionals working in GIS will also find this book useful as a reference. The base feature is a document, all arguments passed to the class on creation are the same as that of a simplekml. Alpha releases are intended to make it easier to test the current state of new features and bug fixes and to test the release process. You can do this on both Windows and Mac computers. It provides facilities to deal with missing value, compute several quality criterion (Calinski and Harabatz,. Introduction. You will then learn to perform geospatial queries within databases and learn PyQGIS to automate analysis within the QGIS mapping suite. 3 if you only have classic netCDF3 files, use 1. See the issues below. class: center, middle # GeoPandas ## Easy, fast and scalable geospatial analysis in Python Joris Van den Bossche, GeoPython, May 9, 2018 https://github. Pandas(GeoPandas)は便利ですね。 しかしQGISのPythonコンソールからは使えないので使えるようにします。 本当はGeoPandasを入れようとしたのですが、ちょっと解決困難な問題が発生したのでまずはPandasで我慢する。 参考にした. The goal of GeoPandas is to make working with geospatial data in python easier. How to Read XML File as String in Java? 3 Examples Suppose you have an XML file and you just want to read and display the whole file as String in Java, may be for debugging purpose. The Basemap package (See Plotting data on a map (Example Gallery) ) can do that. However, the contents of a prj file cannot be read directly in GeoPandas. crs (reading the docs ahead could save you from this pain 1), which will give you the type of projection being used. We spend countless hours researching various file formats and software that can open, convert, create or otherwise work with those files. But for interactive web maps, I usually use Leaflet. On a internet search, we found that the spatial version of the Pandas data analysis library: Geopandas was capable not only to open the DXF files, but also to scale, translate, and filter spatial. Always up-to-date and online. Read in some data for the canton's of Switzerland from a csv file. Below we show how to create Choropleth Maps using either px. (My GPS file converter can also read human-created plain-text input files more easily than GPSBabel. GeoPandas 0. Google Earth KML output (assumes input coordinates are lat/long in decimal degrees) Google Earth. This tutorial shows how to automate downloading and processing DEM files. plot(ax=ax). KML Generator is a free utility that reads your GPS log file containing NMEA string data and creates a Google Earth compatible KML file from it. Complete Python Pandas Data Science Tutorial! (Reading CSV/Excel files. About KML Files. 2, and you can find docs for 0. zip files - unzip automating python to rename file, unzip it to specific folder Experts Exchange. Using a Python recipe? Installing ActivePython is the easiest way to run your project. (2013), Chapters I and V. Import data into Python for analysis and visualization from various sources such as CSV and delimited TXT files. Reading data and writing data in kml file in an application. Typically something like this gets returned Using Python to extract part of a file name. pyKML is an open source Python library for generating, parsing, and modifying KML, the geo-spatial data language used by Google Earth, Google Maps and a number of other GIS platforms. GeoPandas is a super simple way to work with GIS data using Python. Below we will look at a program in Excel VBA that reads data from a text file. A CSV file stores tabular data (numbers and text) in plain text. I've written a little about GeoPandas before; so first a couple of links. Geometric operations are performed by shapely. I decided to write gpsdriveToGoogleEarth. Google's KML documentation also describes the language, and offers both a reference and conceptual developer documentation. With Python 2, ignoring this issue would not usually result in any problems. Think of it as a "poor man's OGR" - a pure Python implementation of transforming features to and from various formats (largely XML based). See DevGuide/Server_GCS_com for the communication between the server and the GCS. The base feature is a document, all arguments passed to the class on creation are the same as that of a simplekml. In this tutorial, we'll use a combination of Python, the Google Maps API, and geojsonio to create what can only be described as the most important tool in the world: a boba map. Extracting and Converting OpenStreetMap data in Python OpenStreetMap is an open source collaborative mapping project that has tons of really valuable and freely available data. Track tasks and feature requests. 0; win-32 v0. Recently, I posted the above image on Twitter. There was a definite need for GIS and some GIS-type functions were occuring but basically when I started, I had an ArcGIS Enterprise license and a mess of KML files. pandas で地理情報を扱う場合、geopandas という拡張パッケージを利用すると便利なため、その使い方を書きたい。また、処理を Python で完結させるため、QGIS ではなく Bokeh でプロットしたい。 geopandas のインストール pip で。 $ pip install geopandas geopy このエン…. Learn how to import te. This open Python spatial notebook running in Colab demonstrates open source GIS software like Shapely, GeoPandas, and PostGIS. Typically something like this gets returned Using Python to extract part of a file name. How to: Read Object Data from an XML File (C#) 07/20/2015; 2 minutes to read +4; In this article. open, which does the. Pandas(GeoPandas)は便利ですね。 しかしQGISのPythonコンソールからは使えないので使えるようにします。 本当はGeoPandasを入れようとしたのですが、ちょっと解決困難な問題が発生したのでまずはPandasで我慢する。 参考にした. The package fiona allows for reading and writing of a big variety of GIS file formats. Other services ; I choose python Geopandas as there were many library available. How to Read XML File as String in Java? 3 Examples Suppose you have an XML file and you just want to read and display the whole file as String in Java, may be for debugging purpose. When the load finishes, the reader's onload event is fired and its result attribute can be used to access the file data. pyKML is a Python package for creating, parsing, manipulating, and validating KML, a language for encoding and annotating geographic data. GeoPandas inherits the standard pandas methods for indexing and selecting data and adds geographical operations as spatial joins and merges. "Fast" refers to the time you spend to write and read KML files, as well as the time you spend to get acquainted with the library or to create KML objects. In Python, there is no need for importing external library to read and write files. Reading Shapefile ZIPs from a URL in Python 3. My objective was to play around with maps, its coordinate system, and maybe to apply some clustering / prediction model on top of it later on, producing some useful insights. Using PyLibTiff to read tiff files in Python ImageJ can open and save. Read a CSV with Pandas and set as GeoDataFrame with geopandas and save as Shapefile with fiona - csv-to-shapefile-geopandas. (For the future, see Chapter 6 on how to easily interface Python with Fortran (and C)). Using this combination he got close to the speed of PostGIS, but from Python. Importing and viewing Shapefiles. shp" #reading the file stored in variable fp map_df = gpd. pyKML Tutorial¶ The following tutorial gives a brief overview of many of the features of pyKML. If you continue browsing the site, you agree to the use of cookies on this website. Drawing country geological map with Python. 6, go to python’s official website and click on Python 3. Reading a CSV file. Map data from CSV files to Google Earth KML files. GeoPandas inherits the standard pandas methods for indexing and selecting data and adds geographical operations as spatial joins and merges. The user can then select it and use copy and paste to transfer it to a mapping program to a text editor to subsequently save as a KML file. 1-Windows-x86 environment. The API follows the standard Python IO style. I am not sure if we can load GPX data directly, so for this notebook I will use a GeoJSON that I previously converted from a GPX. 3+dfsg-1+b3). I tried extracting the data from the zipfile a bunch of different ways and loading the shapefiles using Fiona and nothing seemed to work… until I found a blog post where someone was prefixing their filename with zip:// before reading into GeoPandas. GeoPandas is a Python library for working with vector data. I first tried loading the file with the built-in read_file() method, which didn’t work. ) Let's load the data!. You will also get a quick introduction to third-party packages, Seaborn, Pandas, Basemap, and Geopandas, and learn how to use them with Matplotlib. The API follows the standard Python IO style. A generated file is something that the computer creates, usually by processing a source file. Python3 tools for geographic data. For each of those datasets, the exercise consists of importing the necessary packages, reading the data with geopandas. 3Reading and Writing Files 1. Learn how to import te. In other words the final kml containing these hyperlinks should be in the same folder as the folder named “pdf” which contains the document that will be opend via the hyperlink. Create a parsing function to read an XML file into a MATLAB® structure, and then read a sample XML file into the MATLAB workspace. In this tutorial, you will get to know the two packages that are popular to work with geospatial data: geopandas and Shapely. That lead to an obvious question: well, what kind of projection is used in this file. You can upload GeoJSON files to Mapbox Studio as either datasets, or as tilesets that you can use in a custom map style. geopandas can read almost any vector-based spatial data format including ESRI shapefile, GeoJSON files and more using the command: geopandas可以使用以下命令读取几乎任何基于矢量的空间数据格式,包括ESRI shapefile,GeoJSON文件等等. 1) Python is case sensitive; 2) Python is sensitive to indentation 3) Filepaths use single forward slash (/), double back slash (\\), or raw string supression (r”filepath”) 4) May need to hard code filepaths (workspace + os. Pickle files can be hacked. This example uses Folium, a Python wrapper for leaflet. GeoPandas extends the datatypes used by pandas to allow spatial operations on geometric types. And the CSV module is a built-in function that allows Python to parse these types of files. I have tried calling to_file() on GeoDataFrames constructed from various sources and datasets and the coordinate system information was never present in the output dataset. We read the dataset, and convert the geometery to coordinates in the desired projection by world_mol = world. In this article, am going to run you through some important basics of python GIS programming on the QGIS Python Console. While BigQuery is not technically open source, the BigQuery GIS functions do follow the PostGIS API, and you can query 1 TB of data for free every month. This guide is maintained on GitHub by the Python Packaging Authority. 0 and later from urllib. , PostGIS) Web maps (Leaflet, D3, etc. The latest Tweets from GeoPandas (@geopandas). 1 py27_0 fiona 1. We then use GeoPandas to plot the map outlines by world_mol. Specifies a custom KML schema that is used to add custom data to KML Features. The file looked something like this (not my actual transactions): Date,Description,Amount 2015-01-03,Cakes,22. In English speaking countries we often assume a text file or string is simple ASCII. The tutorial is designed to be followed from start to finish. 3Reading and Writing Files 1. get_path('naturalearth_lowres')则是从geopandas自带的数据集中获取世界地图的shapefile文件。 你也可以用read_file方法读取自己的shapefile文件. 8-3) simple interprocess messaging system (Python interface) python-dbus-dev (1. Tip: As a reminder, some elevation data sets use image formats to store elevation data. In Python, as with Java and its derivatives, you're always importing some established code into your project. nc to overlay onto Google Earth. pyc would be a generated file. I was motivated to create pyKML because I frequently need to visualize large, and often complex, environmental datasets. Python - NetCDF reading and writing example with plotting. geojson') >>> df. Converts Google Earth KML file to a CSV file, and vice versa. shp" #reading the file stored in variable fp map_df = gpd. GeoPandas is a large set of libraries that include spatial functions. With KML, you can display pretty much everything on a map. harfbuzz: Reference implementation of OGC KML 2. A Python library for easy. If you frequently use the Earth browsers like Google Earth, then you might know what exactly KML files are, so you can actually skip the next part. Researchers, government specialists and professionals working in GIS will also find this book useful as a reference. If you are learning Geospatial Programming and work with vector data then you could do alot worse than giving GeoPandas a go. I decided to write gpsdriveToGoogleEarth. I was really surprised to see how many projections there are. Below is some code that I used to begin evaluation of GeoPands to include it in GSP 318. This article talks about the top free methods to convert KMZ to KML. For working CSV files in python, there is an inbuilt module called csv. We read the dataset, and convert the geometery to coordinates in the desired projection by world_mol = world. py and try to import pykml again. Edit: Just tried it and it worked fine going from xml->json->xml, can you please give an example input xml?. Geopandas further depends on fiona for file access and descartes and matplotlib for plotting. The simplest way to install not only pandas, but Python and the most popular packages that make up the SciPy stack (IPython, NumPy, Matplotlib, …) is with Anaconda, a cross-platform (Linux, Mac OS X, Windows) Python distribution for data analytics and. That lead to an obvious question: well, what kind of projection is used in this file. Google Earth is a magnificent tool useful for both GIS amateurs as well as for professionals. Election Data: 2016-electoral-data. GeoPandas can, however, read in proj4 strings, which are just another way of referencing this information. Part I : Introduction 2 What Can I Do With Python + Open Source GIS ??. So I did this: with open ('mycsv. Setting a projection is how one tells geopandas how to interpret coordinates. The Basemap package (See Plotting data on a map (Example Gallery) ) can do that. read_file() which returns a GeoDataFrame object. Note that we don't really need the whole tree in memory for this task. u = fileObj. And the CSV module is a built-in function that allows Python to parse these types of files. I am not sure if we can load GPX data directly, so for this notebook I will use a GeoJSON that I previously converted from a GPX. from ayx import Alteryx data2 = Alteryx. Edit: Just tried it and it worked fine going from xml->json->xml, can you please give an example input xml?. Geometric operations are performed by shapely. KML2CSV – Convert your KML to excel (csv) online Upload Google “KML” file , get the Excel CSV file , If this service helped, please click the “Ads” on the page to support me, thank you! Useful link :. GeoPandas recently released version 0. Publish your content as a KMZ file. The API follows the standard Python IO style. This tool can be used as a quick way to read/write many different formats if you need to build support for reading/writing geo formats to your existing Python application. # For Python 3. Typically something like this gets returned Using Python to extract part of a file name. Running your workflow caches your data and makes it accessible to the Python tool. This is a free online converter. write_your_kml_main. You can also open a file for writing and it will convert the Unicode strings you pass in to write into whatever encoding you have chosen. DataFrame` respectively. However, we need to first, enable the KML-driver which is not enabled by default (because KML-files can contain unsupported data structures, nested folders etc. © 2018 Safe Software Inc | LegalLegal. points) and create Shapefiles from those automatically. This blog is all about displaying and visualising shapefiles in Jupyter Notebooks. and not effected by my installation instructions above 2) you can try to delete the (gdal_driver) if you think that. Series` and `pandas. If not, then KML (Keyhole Markup Language) is a file format used for displaying geographic data for programs like Google Earth or Google Maps. There isn't dead-simple way to dump a pandas DataFrame with geographic data to something you can load with Leaflet. If you're just learning and don't have a KML file, you can:. Always up-to-date and online. Geometric operations are performed by shapely. How to Uninstall Python. Web Coverage Services load raster data in a similar way as Web Feature Services [WFS] load vector data. You will begin by understanding what geoprocessing is and explore the tools and libraries that Python 3 offers. KML (Keyhole Markup Language) is an XML-based Markup language for managing the display of three-dimensional geospatial data in the programs Google Earth, Google Maps, Google Mobile, ArcGIS Explorer and World Wind. KMLという名称は、もともとKeyhole Markup Languageの頭字語だったが、OGCに採用された時点で略語ではない語という扱いになった。 Keyholeは現在の Google Earth の旧名称であり、その開発元がGoogle社と合併するまでの会社名でもある。. I was looking for that functionality earlier and from what I saw, it seems that you can only go to geojson as a file, not as a native Python object, and I was thinking it could be useful and that I might have a go at it but I wanted to see if there was anyone else already working on it. (My GPS file converter can also read human-created plain-text input files more easily than GPSBabel. read(Alteryx. Now we have successfully created a Shapefile from the scratch using only Python programming. Below is some code that I used to begin evaluation of GeoPands to include it in GSP 318. Faults and associated folds in the United States that are believed to be sources of M>6 earthquakes during the Quaternary (the past 1,600,000 years). KML Merger does not warrant that any of the materials on its web site are accurate, complete, or current. Combining the results. Working with Vector and Raster Data in Python A GIS file type is a standard of encoding geographical information into a file. In Python, there is no need for importing external library to read and write files. Python - NetCDF reading and writing example with plotting. Setting a projection is how one tells geopandas how to interpret coordinates. pyc would be a generated file. I am able to construct GeoDataFrame by reading input datasets and operate the data yet saving an output dataset does not preserve the coordinate system. 10 installed in Anaconda 2-4. An ESRI shapefile consists of a main file, an index file, and a dBASE table. This example reads object data that was previously written to an XML file using the XmlSerializer class. 1, and shapely 1. The API follows the standard Python IO style. Using python to analyze spatial data PyCon 2017 Colombia Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. • Build user-interfaces with the native Python file dialog toolkit or the ArcGIS Script tools and PyToolboxes Python for ArcGIS is designed as a primary textbook for advanced-level students in GIS. If you want a quick and dirty way to visualize datapoints on a map, python makes it easy to create a KML file that you can overlay on a map embedded on a webpage or on Google Earth. I have files in. I used GeoPandas to round the former two quantities and the ogr2ogr command line tool to round the coordinates. pyc would be a generated file. Reading and Writing XML Files in Python By Scott Robinson • November 30, 2017 • 0 Comments XML, or Extensible Markup Language, is a markup-language that is commonly used to structure, store, and transfer data between systems. But in our case we. For each of those datasets, the exercise consists of importing the necessary packages, reading the data with geopandas. A day later, the file may have Paris, Sydney, Toronto. Documentation for GeoPandas is available on the GeoPandas web site. Reading a shapefile with the read_file() geopandas function is straightforward and you shouldn't have any trouble finding some examples on the web. The python package simplekml was created to generate kml (or kmz). Since this data is separate from the geometrical description we need to retrieve it from an external source and join it with the geometrical shapes from the geojson file. About File Extension KML. KML is used to save and store map locations in general, while KMZ is used in the same capacity for more specific locations like placemarks. It shows a one-liner code to download SRTM (30 or 90 m) data and how to use rasterio to reproject the downloaded data into a desired CRS, spatial resolution or bounds. Note: While PDF files are great for laying out text in a way that's easy for people to print and read, they're not straightforward for software to parse into plaintext. More context on Altair Geopandas incompatibility can be found here. Fiona provides a minimal, uncomplicated Python interface to the open source GIS community's most trusted geodata access library. The lesson reuses materials from Henrikki Tenkanen from the University of Helsinki, under CC-BY-SA from from AutoGIS GitHub repository. Pandas ecosystem¶ Increasingly, packages are being built on top of pandas to address specific needs in data preparation, analysis and visualization. In QGIS you use the ‘save as’ option in QGIS. Right-click your new layer and click “Save as shapefile. Getting The Data Of Interest. We have looked at reading data into Python, but have ignored the issue of character encoding. KML Merger does not warrant that any of the materials on its web site are accurate, complete, or current. Reading and Writing Files读写文件 Reading Spatial Data 读取空间数据. Using this combination he got close to the speed of PostGIS, but from Python. In English speaking countries we often assume a text file or string is simple ASCII. I'm running geopandas version 0. Can write the converted file directly to disk with no human intervention. This script makes thumbnails of jpg images using Python PIL, then writes a KML file based on data provided to group photos by location, finally zipping it all up into a self-contained KMZ file. In this tutorial, I will discuss how to create a GPX track file viewer in Python. You will also learn about the elegance and power of the Python lan-guage and the breadth of its amazing ecosystem of powerful packages. files, KML, and spatial formats (raster and vector). 10 installed in Anaconda 2-4. I am fairly new to Python. In this tutorial, we'll use a combination of Python, the Google Maps API, and geojsonio to create what can only be described as the most important tool in the world: a boba map. Users can download and model walkable, drivable, or bikable urban networks with a single line of Python code, and then easily analyze and visualize them. What I'd like to do in this post is introduce you to the concept of using CGI scripting with the Python programming language to create dynamic mapping applications. Web Coverage Services load raster data in a similar way as Web Feature Services [WFS] load vector data. With just two lines, it's quick and easy to transform a plain headerless CSV file into a GeoDataFrame. Python Packaging User Guide¶ Welcome to the Python Packaging User Guide , a collection of tutorials and references to help you distribute and install Python packages with modern tools. Enjoy this simple tool to get the GPS format of your choice. request import urlopen except ImportError: # Fall back to Python 2's urllib2 from urllib2 import urlopen Now, you need update update the urllib2. In this tutorial, we will read the XML file and parse it to create an object from it. Earthpy depends upon geopandas which has a focus on vector data and rasterio with facilitates input and output of raster data files. Open and read files in order to manipulate the data in the file. This recipe shows how to close a raster dataset. Each line of the file is a data record. for Germany, there is a list of rescue points in forests available. You can find examples showing how to plot latitude and longitude scatter points on maps in the Basemap example gallery. For working CSV files in python, there is an inbuilt module called csv. 15 - Updated about 1 month ago - 4 stars geokey-dataimports. py Skip to content All gists Back to GitHub. You will then learn to use Python code libraries to read and write geospatial data. In this article, am going to run you through some important basics of python GIS programming on the QGIS Python Console. A file with the. Python ENVISAT Product Reader API (Python 2) sug: python-kml Library to manipulate KML 2. kml) data, representing neighborhood areas, to Esri shapefile (*. Make working with geographic data like working with other kinds of data in python; Work with existing tools Desktop GIS (ArcGIS, QGIS) Geospatial databases (e. One of the tips I got to use today. , PostGIS) Web maps (Leaflet, D3, etc. The web site is a project at GitHub and served by Github Pages. When you make a KMZ file,. さて、今回はgeopandas第二弾です。前回はgeopandasの簡単な使い方を紹介しましたが、今回はもう少し掘り下げてShapeファイルの作成をしてみようと思います。geopandas第一弾に関しては以下をご参照ください。 www. Part I : Introduction 2 What Can I Do With Python + Open Source GIS ??. It will be used to download Salem’s demo files and standard shapefiles. In the first section, we will create a static map and then later build on our code to introduce interactivity. Getting Started on Geospatial Analysis with Python, GeoJSON and GeoPandas As a native New Yorker, I would be a mess without Google Maps every single time I go anywhere outside the city. The open Python notebook also uses Google’s BigQuery GIS. Now that we have a map, lets get some data to add to it. js maps and geopandas. Converts Google Earth KML file to a CSV file, and vice versa. The result is a special geopandas data frame object that has a column called geometry which contains Shapely Point objects with WGS84 coordinates for the cities. 8 - In this section of the text you learn about dictionaries in Python. Import CSV Files Into Pandas Dataframes. Geometric operations are performed by shapely. Point — these were covered in the Vector tutorial. 0a1 is the first of four planned alpha releases. Any arguments passed to read_file() after the file name will be passed directly to fiona. The package fiona allows for reading and writing of a big variety of GIS file formats. The principle behind batteries-included is that the common functionality for building web applications should come with the framework instead of as separate libraries. A CSV file stores tabular data (numbers and text) in plain text. It sits nicely in Jupyter Notebooks as well. Create your free Platform account to download our ready-to-use ActivePython or customize Python with any packages you require. GeoPandas enables you to easily do operations in python that would otherwise require a spatial database such as PostGIS. The API follows the standard Python IO style.