Maps

Create Interactive maps with your geodataframe

geopatra Geopatra extends geopandas for interactive mapping and attempts to wrap the goodness of amazing mapping libraries like Folium, Plotly, Kepler.gl, hvplot etc for rapidly creating interactive maps with Geodataframes You can already create interactive maps easily with geopandas and Folium/ Plotly/ Kepler.gl. Geopatra is merely meant to make this easier and is more geared towards ease and currently does not support complex maps or intricate style control Installation Everything is always a pip away pip install geopatra Basic Usage […]

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Parsing

Python bindings to libpostal for fast international address parsing/normalization

pypostal These are the official Python bindings to https://github.com/openvenues/libpostal, a fast statistical parser/normalizer for street addresses anywhere in the world. Usage from postal.expand import expand_address expand_address(‘Quatre vingt douze Ave des Champs-Élysées’) from postal.parser import parse_address parse_address(‘The Book Club 100-106 Leonard St, Shoreditch, London, Greater London, EC2A 4RH, United Kingdom’) Installation Before using the Python bindings, you must install the libpostal C library. Make sure you have the following prerequisites: On Ubuntu/Debian sudo apt-get install curl autoconf automake libtool python-dev pkg-config […]

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API

Python module to access the OpenCage geocoding API

OpenCage Geocoding Module for Python A Python module to access the OpenCage Geocoder. Usage Supports Python 3.6 or newer. Use the older opencage 1.x releases if you need Python 2.7 support. Install the module: pip install opencage Load the module: from opencage.geocoder import OpenCageGeocode Create an instance of the geocoder module, passing a valid OpenCage Data Geocoder API keyas a parameter to the geocoder modules’s constructor: key = ‘your-api-key-here’ geocoder = OpenCageGeocode(key) Pass a string containing the query or address […]

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Dataset

User friendly Rasterio plugin to read raster datasets

rio-tiler User friendly Rasterio plugin to read raster datasets. rio-tiler was initialy designed to create slippy maptiles from large raster datasources and render these tiles dynamically on a web map. With rio-tiler v2.0 we added many more helper methods to readdata and metadata from any raster source supported by Rasterio/GDAL.This includes local files and via HTTP, AWS S3, Google Cloud Storage,etc. At the low level, rio-tiler is just a wrapper around the rasterio.vrt.WarpedVRT class, which can be useful for doing […]

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Optimization

Cloud Optimized GeoTIFF creation and validation plugin for rasterio

rio-cogeo Cloud Optimized GeoTIFF (COG) creation and validation plugin for Rasterio. Cloud Optimized GeoTIFF This plugin aims to facilitate the creation and validation of Cloud OptimizedGeoTIFF (COG or COGEO). While it respects theCOG specifications, this plugin alsoenforces several features: Internal overviews (User can remove overview with option –overview-level 0) Internal tiles (default profiles have 512×512 internal tiles) Important: in GDAL 3.1 a new COG driver has been added (doc, discussion), starting with rio-cogeo version 2.2, –use-cog-driver option was added to […]

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Image Processing

A Python library for image processing of geospatial raster data

GIPPY Gippy is a Python library for image processing of geospatial raster data. The core of the library is implemented as a C++ library, libgip, with Python bindings automatically generated with swig. Gippy encapsulates the functionality of GDAL and CImg that automatically handles issues common to geospatial data, such as handling of nodata values and chunking up of very large images by saving chains of functions and only processing the image in pieces upon a read request. In addition to […]

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Conversion

Python 3-D geographic coordinate conversions and geodesy

Python 3-D coordinate conversions Pure Python (no prerequistes beyond Python itself) 3-D geographic coordinate conversions and geodesy. API similar to popular $1000 Matlab Mapping Toolbox routines for Python PyMap3D is intended for non-interactive use on massively parallel (HPC) and embedded systems. Prerequisites Pymap3d is compatible with Python ≥ 3.7 including PyPy.Numpy and AstroPy are optional; algorithms from Vallado and Meeus are used if AstroPy is not present. Install python3 -m pip install pymap3d or for the latest development code: git […]

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Python

Reading and Writing Files With Pandas

Pandas is a powerful and flexible Python package that allows you to work with labeled and time series data. It also provides statistics methods, enables plotting, and more. One crucial feature of Pandas is its ability to write and read Excel, CSV, and many other types of files. Functions like the Pandas read_csv() method enable you to work with files effectively. You can use them to save the data and labels from Pandas objects to a file and load them […]

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Advanced, Data Science, NLP, Project, Python

Predict the next word of your text using Long Short Term Memory (LSTM)

This article was published as a part of the Data Science Blogathon Introduction: https://sm.mashable.com/t/mashable_in/photo/default/shutterstock-1208129407_trm5.960.jpg Natural language processing has been an area of research and used widely in different applications. We often love texting each other and find that whenever we try to type a text a suggestion poops up trying to predict the next word we want to write. This process of prediction is one of the applications NLP deals with. We have made huge progress here and we can use […]

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