gdalutils is a small library to handle GDAL-based raster files

Installation

Just run this line after installing all dependencies

pip install git+https://github.com/jsosa/gdalutils.git

Dependencies

• Geopandas
• Cython
• GDAL

Usage

The module is loaded via

To read a raster directly from disk it can be done by

It'll return a numpy.array object

Geographical information can be read via

it'll return a Pyhton list containing

1. xmin
2. ymin
3. xmax
4. ymax
5. number of cells x direction
6. number of cells y direction
7. resolution x direction
8. resolution y direction
9. an array containing center coordiantes of x cells
10. an array containing center coordiantes of y cells
11. projection
12. nodata value

Writing numpy.array object is posible by calling

gu.write_raster(myarray, myraster, geo, fmt, nodata)

Where myarray is a numpy.array object, myraster is a filename output, geo is a list with geographical information identical to the one obtained with gu.get_geo, fmt is the format output: 'Float32', 'Float64', etc and nodata is the NODATA value

Passing from a numpy.array object to a pandas.Dataframe object is posible by

array_to_pandas(dat, geo, val, symbol)

where dat is the numpy.array object, geo is the list containing geographical information, val is a value to be masked and symbol is the logical symbol to be applied

Passing from pandas to array is also possible via

pandas_to_array(df, geo, nodata)