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GIS utility package

Project description

Documentation Status Python Versions License: GPL v3 pre-commit Language grade: Python

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Current release info

Name Downloads Version Platforms
Conda Recipe Conda Downloads Downloads Downloads Downloads PyPI - Downloads Conda Version PyPI version Conda Platforms Join the chat at https://gitter.im/Hapi-Nile/Hapi

pyramids - GIS utility package

pyramids is a GIS utility package using gdal, ....

pyramids

1

Main Features

  • GIS modules to enable the modeler to fully prepare the meteorological inputs and do all the preprocessing needed to build the model (align rasters with the DEM), in addition to various methods to manipulate and convert different forms of distributed data (rasters, NetCDF, shapefiles)

Future work

  • Developing a DEM processing module for generating the river network at different DEM spatial resolutions.

Installing pyramids

Installing pyramids from the conda-forge channel can be achieved by:

conda install -c conda-forge pyramids=0.5.1

It is possible to list all of the versions of pyramids available on your platform with:

conda search pyramids --channel conda-forge

Install from Github

to install the last development to time you can install the library from github

pip install git+https://github.com/Serapieum-of-alex/pyramids

pip

to install the last release you can easly use pip

pip install pyramids-gis==0.5.1

Quick start

  >>> import pyramids

other code samples

Coverage

codecov

======= History

0.1.0 (2022-05-24)

  • First release on PyPI.

0.2.9 (2022-12-19)

  • Use environment.yaml and requirements.txt instead of pyproject.toml and replace poetry env byconda env

0.2.10 (2022-12-25)

  • lock numpy version to 1.23.5 as conda-forge can not install 1.24.0

0.2.11 (2022-12-27)

  • fix bug in pypi package names in requirements.txt file

0.2.11 (2023-01-14)

  • add utils module for functions dealing with compressing files, and others utility functions

0.3.0 (2023-01-23)

  • add array module to deal with any array operations.
  • add openDataset, getEPSG create SpatialReference, and setNoDataValue utility function, getCellCoords, ...
  • add rasterToPolygon, PolygonToRaster, rasterToGeoDataFrame, conversion between ogr DataSource and GeoDataFrame.

0.3.1 (2023-01-25)

  • add pyarrow to use parquet data type for saving dataframes and geodataframes
  • add H3 indexing package, and add new module indexing with functions to convert geometries to indeces back and forth.
  • fix bug in calculating pivot point of the netcdf file
  • rasterToDataFrame function will create geometries of the cells only based on the add_geometry parameter.

0.3.2 (2023-01-29)

  • refactor code
  • add documentation
  • fix creating memory driver with compression in _createDataset

0.3.3 (2023-02-06)

  • fix bug in reading the ogr drivers catalog for the vector class
  • fix bug in creating rasterLike in the asciiToRaster method

0.4.0 (2023-04-11)

  • Restructure the whole package to two main objects Dataset and FeatureCollection
  • Add class for multiple Dataset "DataCube".
  • Link both Dataset and FeatureCollection to convert between raster and vector data types.
  • Remove rasterio and netcdf from dependencies and depend only on gdal.
  • Test read rasters/netcdf from virtual file systems (aws, compressed)
  • Add dunder methods for all classes.
  • add plotting functionality and cleopatra (plotting package) as an optional package.
  • remove loops and replace it with ufunc from numpy.

0.4.1 (2023-04-23)

  • adjust all spatial operation functions to work with multi-band rasters.
  • use gdal exceptions to capture runtime error of not finding the the file.
  • add cluster method to dataset class.
  • time_stamp attribute returns None if there is no time_stamp.
  • restructure the no_data_value related functions.
  • plot function can plot rgb imagr for multi-band rasters.
  • to_file detect the driver type from the extension in the path.

0.4.2 (2023-04-27)

  • fix bug in plotting dataset without specifying the band
  • fix bug in passing ot not passing band index in case of multi band rasters
  • change the bounds in to_dataset method to total_bounds tp get the bbox of the whole geometries in the gdf
  • add convert_longitude method to convert longitude to range between -180 and 180

0.5.0 (2023-10-01)

Dataset """""""

  • The dtype attribure is not initialized in the init, but initialized when using the dtype property.
  • Create band_names setter method.
  • add gdal_dtype, numpy_dtype, and dtype arrtibute to change between the dtype (data type general name), and the coresponding data type in numpy and gdal.
  • Create color_table attribure, getter & setter property to set a symbology (assign color to different values in each band).
  • The read_array method returns array with the same type as the dtype of the first band in the raster.
  • add a setter method to the band_names property.
  • The methods (create_driver_from_scratch, get_band_names) is converted to private method.
  • The no_data_value check the dtype before setting any value.
  • The convert_longitude used the gdal.Wrap method instead of making the calculation step by step.
  • The to_polygon is converted to _band_to_polygon private method used in the clusters method.
  • The to_geodataframe is converted to to_feature_collection. change the backend of the function to use the crop function is a vector mask is given.
  • the to_crs takes an extra parameter "inplace".
  • The locate_points is converted to map_to_array_coordinates.
  • Create array_to_map_coordinates to translate the array indices into real map coordinates.

DataCube """"""""

  • rename the read_separate_files to read_multiple_files, and enable it to use regex strigs to filter files in a given directory.
  • rename read_dataset to open_datacube.
  • rename the data attribute to values

FeatureCollection """""""""""""""""

  • Add a pivot_point attribure to return the top left corner/first coordinates of the polygon.
  • Add a layers_count property to return the number of layers in the file.
  • Add a layer_names property to return the layers names.
  • Add a column property to return column names.
  • Add the file_name property to store the file name.
  • Add the dtypes property to retrieve the data types of the columns in the file.
  • Rename bounds to total_bounds.
  • The _gdf_to_ds can convert the GeoDataFrame to a ogr.DataSource and to a gdal.Dataset.
  • The create_point method returns a shapely point object or a GeoDataFrame if an epsg number is given.

0.5.1 (2023-11-27)

Dataset """""""

  • revert the convert_longitude method to not use the gdal_wrap method as it is not working with the new version of gdal (newer tan 3.7.1).
  • bump up versions.

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