Rasterize Shapefile Python Rasterio

Hire the best freelance Cartographers in Rawalpindi on Upwork™, the world's top freelancing website. Working with Raster Datasets: Rasterio is built around the GDAL library (recall section 3), to facilitate raster operations in Python. Import the rasterio package. Python is a programming and data analysis language very versatile for the matrix algebra with the Numpy library, however there was no efective and simple way to process a georaster until the development of the Rasterio package. The path may point to a file of any supported raster format. Joel began using Python in 1997 and combined it with geospatial software development in 2000. Below are the essential steps for processing each raster within ArcMap: 1. Rasterio employs GDAL under the hood for file I/O and raster formatting. It is not necessary at the end of the script, as the Python garbage collector will do the same thing automatically when the script exits. 0_bio_10m_01. 2 and above, you can use the "Table to Excel" tool to convert a shapefile table to Excel spreadsheet & export field aliases / subtypes. Working with Vector and Raster Data in Python A GIS file type is a standard of encoding geographical information into a file. Rasterio is a Python library. An existing raster or vector layer can be used as the clip extent. GetNextFeature # Save and close the shapefiles inDataSet = None outDataSet = None. Rasterio is based on GDAL and Python automatically registers all known GDAL drivers for reading supported formats when importing the module. They are extracted from open source Python projects. Files have been downloaded 6,258,736 times. The course includes a basic introduction to the PostgresSQL/PostGIS enterprise database as well as the Python programming language. There is built-in support for chip classification, object detection, and semantic segmentation using Tensorflow. Rasterio employs GDAL under the hood for file I/O and raster formatting. Hi all, I am trying to iterate zonal statistics on many rasters (+200) over many shapefiles (+30), and step through the shapefiles such that each output table will be calculated across all raster for one shapefile. Skip navigation Sign in. prj files components of the shapefile. Resources are available for professionals, educators, and students. When adding the attributes from the input raster, if the output point feature dataset is a shapefile, there can be no fields in the input raster with a name more than 10 characters in length. Rasterio reads and writes geospatial raster datasets. The primary purpose of GDAL or a GDAL-enabled library is to read, write and transform geospatial datasets in a way that makes sense in the context of its spatial. 0 release, Python is included in the base MS4W (after you run setenv. Convert Shapefile to kml by QGIS. Rasterio is a GDAL and Numpy-based Python library designed to make your work with geospatial raster data more productive, more fun — more Zen. Rasterio Rasterio is an open source library developed by Mapbox, Inc. Select Boundary2004_550_stpl83 as the Mask layer`. Output extent is the larger of raster or shapefile. My name is Sean Gillies, I work at Mapbox. rasterize( [(x. Beginning in rasterio 0. Images 4 and 5 show a MOD10CM raster before and after this step, respectively. You just need to open the shapefile as vector layer and save it as CSV. The script works with single- and multiband raster in all GDAL-compatible formats. Introduction. You can vote up the examples you like or vote down the exmaples you don't like. Converting a raster (GeoTiff) to a vector (Shapefile) using GDAL We have now looked at how we can go from a vector to a raster, so it is now time - Selection from Python Geospatial Analysis Cookbook [Book]. Click the SELECT button and navigate to a Shapefile or Zip archive containing a Shapefile on your local file system. > 2 - *I would also like to add a behaviour to handle very long response time, > I would really like to have your feedback on it:* > - Option 1 : Disable identify for very large raster layers in project > properties when raster is loaded. Rasterio is a Python library. class: center, middle # GeoPandas ## Geospatial data in Python made easy Joris Van den Bossche, EuroScipy, August 30, 2017 https://github. shp -reverse in. Rasterio is a GDAL and NumPy-based Python library for raster data, written with the Python developer in mind instead of C, using Python language types, protocols, and idioms. Geographic information systems use GeoTIFF and other formats to organize and store gridded, or raster, datasets. Fiona and Rasterio are Python interfaces to OGR and GDAL. Rasterio is a GDAL and NumPy-based Python library for raster data, written with the Python developer in mind instead of C, using Python language types, protocols, and idioms. Actually, it is two libraries -- GDAL for manipulating geospatial raster data and OGR for manipulating geospatial vector data -- but we'll refer to the entire package as the GDAL library for the purposes of this document. Ensure the correct shapefile type is selected (points, lines, or polygons). SDMtoolbox is a python-based ArcGIS toolbox for spatial studies of ecology, evolution and genetics. Import & Conversion among ArcMap layers, shape, raster and polygon format s Purpose: Specific data formats (point, line, raster, polygon) are required for various ArcMap toolbox functions. If anyone is trying to graph a simulation coded entirely in NEURON, make sure you make the netcon object, record the events to vectors entirely in NEURON, THEN call the vectors from Python. I have been able to plot and display my raster images using matplotlib. Unlike a number of software, the tool allows you to modify (multi)lines AND (multi)polygons. Rasterio employs GDAL under the hood for file I/O and raster formatting. bat", "python"). To get this into OpenLayers, you need two pieces of information. CreateFeature (outFeature) # dereference the features and get the next input feature outFeature = None inFeature = inLayer. Rasterio aims to make GIS data more accessible to Python programmers and helps GIS analysts learn important Python standards. Launch QGIS and use the Add Raster Layer button to add dem to your map. The only downside: rasterize_geom is ~ 1. x, and GDAL versions 1. You can avoid this shift by using the input raster as the Snap Raster in the environment. Rasterio aims to make GIS data more accessible to Python programmers and helps GIS analysts learn important Python standards. The raster file we will use in the following examples contains world-wide bioclimatic data and will be used again in the lesson’s walkthrough. Rasterio reads and writes these formats and provides a Python API based on N-D arrays. Using rasterio with fiona, it is simple to open a shapefile, read geometries, and mask out regions of a raster that are outside the polygons defined in the shapefile. I've masked a raster using a shapefile by following this Rasterio documentation. As an aside, if you are doing any sort of geospatial work with Python, you'll want to pip install shapely. Advanced Search Mask to polygon python. The instructions provided describe how to convert a floating type raster to a polygon feature class and retain the decimal values. Output extent is set to shapefile projwin extents. http://changelog. The path may point to a file of any supported raster format. Convert KML to Shapefile in QGIS. I’m a geographer whose work focuses on GIS and spatial analysis. 7 is required for the Python GDAL module in MS4W, and you must have C:/python-3. Sep 17, 2014. The rasterio_code_analyzer module can be used to find such deprecated usage. Rasterio is the main package we will use today. These functions expose GDAL functions in a general way, using iterators over GeoJSON-like Python objects instead of GIS layers. Elevation data (DEM) is also distributed as raster files. You can vote up the examples you like or vote down the ones you don't like. ) of the underlying raster dataset. tif Punches a hole in the image. Use the affine Python library instead. The workflow below shows how we can approximate the following ogr2ogr command with the OGR api using a decently large parcel shapefile from King County GIS. The rio functions like rasterio. Rasterio example. The input field type determines the type of output raster. In particular note the various options for Shapefiles and PostGIS databases. I've been a Python programmer since 2001 and a GIS analyst and programmer since 1999, with a séjour in the digital classics from 2006 to 2013. A new raster elevation_tin_clipped will be loaded in QGIS. Dataset objects have some of the same attributes as Python file objects. NOTE: Version number indicates the update cycle when that theme was last updated. by Christoph Gohlke, Laboratory for Fluorescence Dynamics, University of California, Irvine. This is a quick overview of essential python libraries for working with geospatial data. - The shape file is a common GIS format. This Python package and extensions are a number of tools for programming and manipulating the GDAL Geospatial Data Abstraction Library. Rasterio is Python software, not GIS software. Rasterio is based on GDAL and Python automatically registers all known GDAL drivers for reading supported formats when importing the module. rasterizeOptions (coloco as opções de saída do meu dado em raster). Fast and Reliable Top of Atmosphere (TOA) calculations of Landsat-8 data in Python In this tutorial, I will show how to extract reflectance information from Landsat-8 Level-1 Data Product images. 0_bio_10m_01. In the workspace, insert a 2DForcer transformer to convert the input 3D data into 2D for the output. Shapefile data can be used to visualize buildings in STK and for analysis using the Urban Propagation extension. In these raster files, the parameter that is being represented is encoded as the pixel values of the raster. examples/rasterio_mask. Any feature class (geodatabase, shapefile, or coverage) containing point, line, or polygon features can be converted to a raster dataset. rasterizado = rasterio. This tutorial will show you how to convert Esri shapefile (*. iterrows()], out_shape=wpgt_r. shp_fn = 'cb_2013_us_county_20m. It is fairly common that you want to look at the histogram of your data. Converting a raster (GeoTiff) to a vector (Shapefile) using GDAL We have now looked at how we can go from a vector to a raster, so it is now time - Selection from Python Geospatial Analysis Cookbook [Book]. You might be thinking why would anyone convert GeoJSON in shapefile. com/en/entry/1130. Raster Analytics¶ ArcGIS Enterprise at 10. bat", "python"). GDAL/OGR in Python. The simplest way is to draw a polygon shape and convert it; however, you could use any polygon shapefile for this. In this case, it is roughly the extent of San Francisco. png for PNG,. I have been able to plot and display my raster images using matplotlib. This is an ArcMap-based tool that calculates focal statistics for a point shapefile that is internally buffered and draped over a raster image. Don't add any vector layers right now. GetField (i)) # add the feature to the shapefile outLayer. Sets of images are taken of the surface where each image corresponds to a specific wavelength. As an aside, if you are doing any sort of geospatial work with Python, you'll want to pip install shapely. We will use a sample dataset available from SpatialKey, which contains: 36634 records in Florida for 2012 from a sample company that implemented an aggressive growth plan in 2012. A new book, called "Mastering Geospatial Analysis with Python" (Packt Publishing), tries to fill this gap. 0 will not permit reading from datasets opened in “w” mode. The Project Raster tool transforms x-, y-, and z-values of geometry coordinates. select - Get points and cross sections; imod. Pick the shape you want to draw from the drawing toolbar. io Group Description This list is dedicated usage and support for Rasterio, an open source Python library for reading and writing geospatial raster data. Learn how to to open, crop and classify raster data in Python. Cookie cutter an image. Rasterio is based on GDAL and Python automatically registers all known GDAL drivers for reading supported formats when importing the module. How can we do that? Let's start importing GDAL: Then we need t0 open the raster file: To finish getting what we need, let's get our affine transform coefficients with the following: Where…. Reading and writing raster data with Rasterio. This guide is no longer being maintained - more up-to-date and complete information is in the Python Packaging User Guide. Output extent is the larger of raster or shapefile. Rasterio is based on GDAL and Python automatically registers all known GDAL drivers for reading supported formats when importing the module. Learn how to to open, crop and classify raster data in Python. Name the Output file as elevation_tin_clipped. python - create a shapefile equally spaced spatial grid. Rasterio reads and writes these formats and provides a Python API based on N-D arrays. There are two main ways to export or convert raster data to another format: using the Export Raster pane or the Copy Raster geoprocessing tool. Rasterio is a GDAL and NumPy-based Python library for raster data, written with the Python developer in mind instead of C, using Python language types, protocols, and idioms. Data Set Name Description Theme Metadata; NYS Hydrography - 1:24,000 Vector files of linear and areal hydrography features such as streams, lakes, rivers, canals, reservoirs, ponds, etc. Plot the raster dataset using the rasterio. Rasterio example. The NumPy array can be modified and subsequently exported. 0 through 3. (BuildingArcGISTools(usingPython(GIS(in(Water(Resources,(Fall(2014(Prepared(by(Anthony(Castronova(Purpose(The!purpose!of!this!exercise!is!to. This feature allows you to work on rasters that are larger than your computers RAM or process chunks of large rasters in parallel. In this task, we will use python scripting for converting a Comma-Separated Values file (also known as CSV file) to a shapefile using PyQGIS. You can upload shapefiles to Mapbox Studio to add custom data to your maps. The region labeling algorithm is provided by libgdal's GDALPolygonize() and I'm using GDAL and OGR in-memory raster and vector datastores to avoid disk I/O. If clipping geometry is used, the pixel depth of the output may be promoted. See the Python mapping libraries tour from OceanHackWeek 2018 last month. The first argument of this function is a. GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. QGIS offers many common GIS functionalities provided by core features and plugins. Geographic information systems use GeoTIFF and other formats to organize and store gridded, or raster, datasets. show_hist() function. dBASE Table for ESRI Shapefile (DBF) Description: The dBASE table (. Output extent is set to shapefile projwin extents. To things keep moving, I’ve already clipped out the glacier polygons for Rainier. I will first explain the problem and the data that I have. After experimenting with gdal, skimage, pyplot etc. It is useful in the middle of a script, to recover the resources held by accessing the dataset, remove file locks, etc. The raster will be converted to a polygon feature class using the ArcGIS Raster to Polygon tool. Create a hillshade by selecting dem in the table of contents and clicking Raster > Analysis > Hillshade. There is built-in support for chip classification, object detection, and semantic segmentation using Tensorflow. The workflow below shows how we can approximate the following ogr2ogr command with the OGR api using a decently large parcel shapefile from King County GIS. QGIS Python 05 Clip Raster with a Multi-feature Shapefile. Learn how the Polygon to Raster tool works. mask (see: masking raster using a shapefile). I've been a Python programmer since 2001 and a GIS analyst and programmer since 1999, with a séjour in the digital classics from 2006 to 2013. see also rasterio docs. I've masked a raster using a shapefile by following this Rasterio documentation. The path may point to a file of any supported raster format. 0 next year. The instructions provided describe how to convert a floating type raster to a polygon feature class and retain the decimal values. tif') We now have a GDAL raster dataset in variable raster. Rasterio and Cartopy. Just to explain the title for those unfamiliar: a Shapefile is a common file format for vectorized geospatial data. They are created mainly by government mapping agencies (such as the USGS or National Geospatial-Intelligence Agency) or by GIS software developers. To make this a bit more concrete, here are some quick recipes of how to do things with Shapely that I have recently done and may be useful. Rasterio reads and writes geospatial raster data. If you have your own Python instance instead: Python 3. Reading and writing raster data with Rasterio. CSV to Shapefile conversion with Pandas, Fiona and Shapely. I also checked the layer retrieved from the shapefile, after opening it, and there are more than 300. CreateFeature (outFeature) # dereference the features and get the next input feature outFeature = None inFeature = inLayer. I've been a Python programmer since 2001 and a GIS analyst and programmer since 1999, with a séjour in the digital classics from 2006 to 2013. (see cligj) The output GeoJSON will be mostly unchanged but have additional properties per feature describing the summary statistics (min, max, mean, etc. Sentinel-2 is an observation mission developed by the European Space Agency to monitor the surface of the Earth official website. I have the boundary of the natural reserve as Shapefile and we will read it with Geopandas and visualize it with Folium python library (Note that I have covered Geopandas and Vector data analysis in 3 part series of articles available here: Part 1, Part 2, and Part 3). shp -reverse in. Rasterio reads and writes geospatial raster datasets. Shapefile attributes include measurements that correspond to the geometry of the shapefile features. img for ERDAS IMAGINE,. I am trying to create a land mask to apply to satellite imagery, that will set the pixels in a raster intersecting with a land mass to 0. Rasterio Rasterio is an open source library developed by Mapbox, Inc. How to get data only within shapefile boundary from a netcdf data file in R software?? (package raster): something like. A Quick Note on Shapefiles. Moreover, it is not. To just keep that region of the raster and get rid of the rest the simplest option is to use rasterio. Welcome to the Python GDAL/OGR Cookbook!¶ This cookbook has simple code snippets on how to use the Python GDAL/OGR API. Stop by and say hello!. Raster datasets are organized into bands. Sign in Sign up Instantly share code, notes, and. 2 and above, you can use the "Table to Excel" tool to convert a shapefile table to Excel spreadsheet & export field aliases / subtypes. If the field is integer, the output raster will be integer; if it is floating point, the output will be floating point. If the feature class is not a shapefile, a Python None will be used, which is stored as NULL in most databases. For example, the HARV_Roads shapefile ( lines_HARV object) contains an attribute called TYPE. Rasterio employs GDAL under the hood for file I/O and raster formatting. Therefore your instructions have wrapped the rasterio reproject code into a function called reproject_et notice that this function contains all of the same code, but allows the input path, the output path, and the new CRS components to change every time the function is. Data Set Name Description Theme Metadata; NYS Hydrography - 1:24,000 Vector files of linear and areal hydrography features such as streams, lakes, rivers, canals, reservoirs, ponds, etc. Programming with Raster data. features import rasterize mask = rasterize([poly], transform=src. Close a raster dataset. They are extracted from open source Python projects. bat", "python"). shp -reverse in. When selecting a. Work with Lidar Raster Data in Python - Earth analytics python course module Welcome to the first lesson in the Work with Lidar Raster Data in Python module. Parsing rasterio’s geocoordinates¶. Outside the polygon is nodata, inside is input. Polygon To Raster is a complement to the Raster To Polygon tool, which converts a raster to a feature dataset. com/en/entry/1130. features import rasterize mask = rasterize([poly], transform=src. Shapefile to CSV conversion – With QGIS Open source Software. Rasterio is the main package we will use today. In this task, we will use python scripting for converting a Comma-Separated Values file (also known as CSV file) to a shapefile using PyQGIS. Rasterio is designed to make working with geospatial raster data more productive and more fun. Shapefile, i. In output raster interior of polygon is nodata. Rasterio is a GDAL and NumPy-based Python library for raster data, written with the Python developer in mind instead of C, using Python language types, protocols, and idioms. If the feature class is not a shapefile, a Python None will be used, which is stored as NULL in most databases. import geopandas as gpd import rasterio from rasterio import features Set up your filenames. Rasterio wraps the powerful features of the Geospatial Data Abstraction Library (GDAL) in idiomatic Python functions and classes. Answer is very simple Shapefile is very popular data format with open specification for data interoperability among GIS (Geographical information system) softwares. Rasterio is a library to open, write, explore and analyze georasters in Python. raster = gdal. Also, different approaches of representing spatial reference system are enumerated. This will be added to your Data View in QGIS. tif for a TIFF file format, or no extension for a Grid or a raster dataset in a geodatabase. Browse all blog posts in the python-snippets blog in GeoNet, The Esri Community | GIS and Geospatial Professional Community. GetNextFeature # Save and close the shapefiles inDataSet = None outDataSet = None. The Stack function also returns two object, an array and a RasterIO profile. arrays ideal for calculating raster surfaces for map algebra implementations. But sometimes you need to clip data spatially. Gallery About. [ESRI software] In ArcGIS, a collection of geographic features with the same geometry type (such as point, line, or polygon), the same attributes, and the same spatial reference. It is fairly common that you want to look at the histogram of your data. Convert raster data to a ESRI polygon shapefile and (optionally) a SpatialPolygonsDataFrame - polygonizer. transform, fill=0, all_touched=True, dtype=rasterio. Earth Engine presents an upload dialog which should look similar to Figure 1. dBASE Table for ESRI Shapefile (DBF) Description: The dBASE table (. rasterize( [(x. Rasterio is the main package we will use today. /rasterized. Easily create point maps: convert shapefile points to polygons in just 3 steps The free QGIS software can be used to easily convert points in shapefile maps to polygons. Elevation data (DEM) is also distributed as raster files. Work with Lidar Raster Data in Python - Earth analytics python course module Welcome to the first lesson in the Work with Lidar Raster Data in Python module. Browse other questions tagged python raster geopandas rasterization rasterio or ask your own question. The end result is the ability to query raster datasets using irregular shapes and only download the data you actually need. If you're only working with shapefiles, this one-file-only library is simpler than using GDAL. QGIS (Qunatum GIS) is open. After experimenting with gdal, skimage, pyplot etc. 3, you can read and write "windows" of raster files. In a previous post, I showed how to use pure Python to subset a shapefile by attributes. show() function and add the mining site locations in red and marker size of 1. What Does Crop a Raster Mean? Cropping (sometimes also referred to as clipping), is when you subset or make a dataset smaller, by removing all data outside of the crop area or spatial extent. imshow() and map projections¶. Camilla, Damon, Sean, and Virginia will be in Portland the week of May 30th for the PyCon conference, where they will be working on Rasterio plugins and other parts of the Python mapping stack. examples/rasterio_mask. Identifying the formats required for a desired function is the first step in using some of the many toolbox or modeling features in ArcMap. If you have many raster files to re-project the rasterio method has several lines of code that could get repetative to type. The rasterio_code_analyzer module can be used to find such deprecated usage. El código completo desarrollado puede observarse a continuación:. The workflow below shows how we can approximate the following ogr2ogr command with the OGR api using a decently large parcel shapefile from King County GIS. Default menu: Raster ‣ Miscellaneous. The command-line interface allows for easy interoperability with other GeoJSON tools. Raster Mosaicing and Clipping (QGIS3)¶ This tutorial explores basic techniques for working with rasters in QGIS such as mosaicing and subsetting. This Python package and extensions are a number of tools for programming and manipulating the GDAL Geospatial Data Abstraction Library. Go to Raster ‣ Extraction ‣ Clipper. Para isto utilizo duas funções: A função gdal. The following graphic illustrates how the input raster is vectorized when it is converted to a polygon feature output. Cookie cutter an image. It should be noted that there are many different tools that will perform the same tasks, these are simply the easiest ones to use. Rasterio is a GDAL and NumPy-based Python library for raster data, written with the Python developer in mind instead of C, using Python language types, protocols, and idioms. Rasterizing shapefile with rasterio and gdal gives all. This module introduces the raster spatial data format as it relates to working with lidar data in Python. When adding the attributes from the input raster, if the output point feature dataset is a shapefile, there can be no fields in the input raster with a name more than 10 characters in length. Using sp and raster with base R graphics: Although the sp package can work with raster data, the newer raster package offers considerably more capabilities, including an extension of the base plot function for producing raster maps upon which other figure elements can be superimposed. we want to snap the line to the points which are…. examples/rasterio_mask. Data Set Name Description Theme Metadata; NYS Hydrography - 1:24,000 Vector files of linear and areal hydrography features such as streams, lakes, rivers, canals, reservoirs, ponds, etc. Using a real world example, this session will include an. Okey, so rasterio wants to have the coordinates of the Polygon in this kind of format. An older version number indicates updates have not been necessary since then. Starting with Python 3. sh script that will fetch, extract and prepare a global shapefile. Installing rasterio on Windows is a challenge, specially when developers dont show Windows love - Windoze for them :), anyway the fact is a lot of us are using Windows, if you go to rasterio Windows installation it currently looks like this Windows Windows binary packages created by Christoph Gohlke are available here. Skip to content. This Python package and extensions are a number of tools for programming and manipulating the GDAL Geospatial Data Abstraction Library. analytics module and includes functionality to summarize data, analyze patterns, images, terrain and manage data. This can be done easily with the merge() function in Rasterio. Over 60 recipes to work with topology, overlays, indoor routing, and web application analysis with Python Python Geospatial Analysis Cookbook JavaScript seems to be disabled in your browser. You can upload shapefiles to Mapbox Studio to add custom data to your maps. Actually, you could re-write this function without saving the rasterized shapefile on the hard disk and just store it in memory. select - Get points and cross sections; imod. I'm able to plot it using Basemap, but to make it better in visualization I have to plot that in Folium. Name the Output file as elevation_tin_clipped. Rasterio is the main package we will use today. After covering how to read and write various vector data formats in Python, we'll now do the same for raster data. If the output raster was in an other projection, the shapefile coordinates should be appended to the path using the output projection (m(pts[j][0], pts[j][1])). The rio functions like rasterio. The very simple script below shows you how you can rasterize a shapefile using the Python Shapefile Library (PSL) and the Python Imaging Library (PIL). Cookie cutter an image. Fiona is a great toolset, but I think that the DataFrame is better suited to shapefiles and geometries than nested dictionaries. One common task in raster processing is to clip raster files based on a Polygon. Unlike a number of software, the tool allows you to modify (multi)lines AND (multi)polygons. The only downside: rasterize_geom is ~ 1. The input field type determines the type of output raster. Elevation data (DEM) is also distributed as raster files. Resample Raster Images Submitted by hetmank on 1 October 2010 - 3:08pm This example demonstrates two R programming techniques for resampling (changing the cell size or spatial resolution) of a raster satellite image. This is a quick overview of essential python libraries for working with geospatial data. Builds a vector layer with a record for each input raster file, an attribute containing the filename, and a polygon geometry outlining the raster. Rasterio’s open()function takes a path string or path-like object and returns an opened dataset object. Convert Shapefile to kml by QGIS. For multiband rasters the field name in DBF file will consists of raster name and band number. To process a different band, specify the band to use. prepare - Prepare model input; imod. Actually, it is two libraries -- GDAL for manipulating geospatial raster data and OGR for manipulating geospatial vector data -- but we'll refer to the entire package as the GDAL library for the purposes of this document. Python shapefile library (pyshp) pyproj. Both examples work well, but they are terribly inefficient and won't process a really big raster. com/en/entry/1130. If you're only working with shapefiles, this one-file-only library is simpler than using GDAL. Rasterio supports Python 2. 2 and above, you can use the "Table to Excel" tool to convert a shapefile table to Excel spreadsheet & export field aliases / subtypes. J'utilise ici un fichier raster d'une bande et GeoPandas pour le shapefile (au lieu de Fiona). transform, out_shape=src.