Python Spatial data Processing environment

Python spatial data processing environment lap Conda download and installation

What is Conda? Official definition: Package, dependency and environment management for any Language-python, R, Ruby, Lua, Scala, Java, JavaScript, C/ C + +, FORTRAN

Conda is a virtual environment and package (library) dependency management tool

: Downloading Conda

For Windows versions, determine the Python version and system type to download the installation package directly for installation

For Linux and MacOS Systems, run bash scripts in terminal to install them.

Conda using a new virtual environment (managing environments)

conda create -n osgeo

Switch to a new virtual environment

source activate osgeo(Linux and MacOS)

activate osgeo(Windows)

Exiting a virtual environment

source deactivate(Linux and MacOS)

deactivate(Windows)

Utility Commands:

• View a list of virtual environments conda env list orconda info --envs
• Deleting a virtual environmentconda remove www.thd178.com/   --name <environment> --all
• To view a list of packages in a virtual environmentconda list
• Update Conda or a package conda www.feifanyule.cn update conda orconda update <package>
• Update all packages in a virtual environmentconda update --all
• To view outdated packagesconda search www.taohuayuan178.com --outdated
• Search for a specified packageconda search <package>
• Delete a Packageconda remove www.baohuayule.net <package>
• Add Channel to Conda configuration file conda config --add channels www.yisheng1178.com <channel> orconda config --append channels <channel>

Installation of space data processing Python Library common spatial data processing Python library

• GDAL All-purpose basic spatial data processing library
• Fiona spatial vector data Processing library based on Gdal
• Rasterio spatial Raster Processing library based on Gdal
• Basemap Matplotlib-based spatial mapping library
• Geopandas Spatial Data Analysis library based on pandas
• Rsgislib Advanced Library for Remote sensing data and GIS analysis

Installing a library using Conda

Open command line tool (Terminal), enter the command, enter the virtual environment

1. Installing the Gdal Library

   conda install -c www.boshenyl.cn   conda-forge gdal

2. Installing the Fiona Library

   conda install -c conda-forge fiona

3. Installing the Rasterio Library

   conda install -c conda-forge rasterio

   ?

Installing a library using PIP

What is PIP? Pip is a python default and recommended package management tool that can be used to automatically download Python packages from the PyPI network repository for installation and management.

For pre-compiled packages for binary libraries under Windows, provide a website for everyone: Unofficial Windows Binaries for Python Extension Packages

When using PIP installation, if the Python package is dependent on some C + + libraries, you will need to compile manually or install a pre-compiled library under the specified platform.

1. Installing the Gdal Library

   pip install GDAL?2.2.4?cp37?cp37m?win_amd64.whl

2. Installing the Fiona Library

   pip install Fiona?1.7.11.post1?cp37?cp37m?win_amd64.whl

3. Installing the Rasterio Library

   pip install rasterio?1.0a12?cp37?cp37m?win_amd64.whl

4. Installing Jupyter

   pip install jupyter

   Programming with the Jupyter notebook

   jupyter notebook

Python Spatial data Processing environment