TATHU Package

Subpackages

Submodules

tathu.binary module

tathu.binary.binary2raster(path, extent, nlines, ncols, dtype, ctype=None, scale=1.0, offset=0.0)

tathu.binary.read(path, nlines, ncols, dtype=<class 'numpy.int16'>)

tathu.constants module

tathu.progress module

class tathu.progress.TqdmProgress(title, unit)

Bases: object

endStep(text)

endTask()

startStep(text)

startTask(size)

wasCanceled()

tathu.utils module

class tathu.utils.Timer: Bases: object

tathu.utils.array2raster(array, extent, srs=<osgeo.osr.SpatialReference; proxy of <Swig Object of type 'OSRSpatialReferenceShadow *'> >, nodata=None, output='', driver='MEM')

tathu.utils.extractPeriods(files, timeout, regex='\\d{12}', format='%Y%m%d%H%M')

tathu.utils.file2timestamp(path, regex='\\d{12}', format='%Y%m%d%H%M'): This function extracts timestamp based on the given full-path file.

tathu.utils.fill(data, invalid=None)

From: https://stackoverflow.com/questions/3662361/fill-in-missing-values-with-nearest-neighbour-in-python-numpy-masked-arrays Replace the value of invalid ‘data’ cells (indicated by ‘invalid’) by the value of the nearest valid data cell Input:

data: numpy array of any dimension invalid: a binary array of same shape as ‘data’. True cells set where data

value should be replaced. If None (default), use: invalid = np.isnan(data)

Output:: Return a filled array.

tathu.utils.generateListOfDays(start, end): This function returns all-days between given two dates.

tathu.utils.geo2grid(x, y, geoT): This function returns the grid point associated to a spatial location. param x The spatial x-coordiante. param y The spatial y-coordiante. param geoTransform A list of 6 coefficients describing an affine transformation to georeference a grid.

eturn The grid point line and column.

tathu.utils.getExtent(gt, shape): This function returns the extent based on the given GDAL geo-transform parameters and dimensions.

tathu.utils.getGeoInfoFromCTL(path): This function try extract grid geospatial information from a CTL file. Geospatial info = number of lines, columns and geo-extent.

tathu.utils.getGeoT(extent, nlines, ncols): This function computes the resolution based on data dimensions.

tathu.utils.grid2geo(lin, col, geoT): This function returns the spatial location of a grid point. param geoTransform A list of 6 coefficients describing an affine transformation to georeference a grid. param col The grid point column. param row The grid point row.

eturn The spatial location.

tathu.utils.readFLO(path): This function reads Optical Flow Middlebury files (.flo).

tathu.utils.writeFLO(flow, filename): Write optical flow in Middlebury .flo format.

tathu.version module

Version information for TATHU - Tracking and Analysis of Thunderstorms.

tathu.visualizer module

class tathu.visualizer.AnimationMap(family, attributes)

Bases: TimedAnimation

new_frame_seq(): Return a new sequence of frame information.

show()

class tathu.visualizer.AnimationMapDatabase(db, extent, images, timestamps, cmap='Greys')

Bases: TimedAnimation

new_frame_seq(): Return a new sequence of frame information.

show()

class tathu.visualizer.MapView(extent, references=[], clabel='', timestamp=None)

Bases: object

plotArray(array, cmap=None, vmin=None, vmax=None, colorbar=False)

plotImage(image, cmap=None, vmin=None, vmax=None, colorbar=False)

plotPolygons(polygons, facecolor='red', edgecolor='k', alpha=1.0, lw=1.0, centroids=False)

plotRaster(raster, cmap=None, vmin=None, vmax=None, colorbar=False)

plotReferences()

plotSystems(systems, facecolor='red', alpha=1.0, edgecolor='k', lw=1.0, centroids=False)

show()

class tathu.visualizer.SystemHistoryView(family, images=None, extent=None, highlightEvent=True)

Bases: object

show()

Module contents

TATHU - Tracking and Analysis of Thunderstorms.