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import numpy as np
from osgeo import gdal, osr
def write_raster(data):
pixel_array = []
pixel_array_alpha = []
for j in range(0, 36):
row_array = []
row_array_alpha = []
for i, station_id in enumerate(data):
if i % 36 == 0:
value = data[i + j][1]
value = 0 if not value else value
value = 0 if str(value) == 'NaN' else value
alpha_value = data[i + j][2]
alpha_value = 0 if alpha_value else 255
row_array.append(value)
row_array_alpha.append(alpha_value)
np_row_array = np.array(row_array)
np_row_array_alpha = np.array(row_array_alpha)
pixel_array.append(np_row_array)
pixel_array_alpha.append(np_row_array_alpha)
np_pixel_array = np.array(pixel_array)
np_pixel_array_alpha = np.array(pixel_array_alpha)
xmin, ymin, xmax, ymax = [5.01, 47.15, 14.81, 55.33]
nrows, ncols = np.shape(np_pixel_array)
xres = (xmax - xmin) / float(ncols)
yres = (ymax - ymin) / float(nrows)
geotransform = (xmin, xres, 0, ymax, 0, -yres)
output_raster = gdal.GetDriverByName('GTiff').Create('D:/Uni/Master/01_SS2021/Automatisierte_Geodatenprozessierung/temperaturverteilung/dataacquisition/output/myraster.tif', ncols, nrows, 4, gdal.GDT_Float32) # Open the file
output_raster.SetGeoTransform(geotransform)
srs = osr.SpatialReference()
srs.ImportFromEPSG(4326)
output_raster.SetProjection(srs.ExportToWkt())
output_raster.GetRasterBand(1).WriteArray(np_pixel_array)
# output_raster.GetRasterBand(2).WriteArray(np_pixel_array)
# output_raster.GetRasterBand(3).WriteArray(np_pixel_array)
output_raster.GetRasterBand(4).WriteArray(np_pixel_array_alpha)
output_raster.FlushCache()