# -*- coding: utf-8 -*-
"""
Created on 2020-09-17 17:21
@author: a002028
"""
from bawsvis.session import Session
from bawsvis.readers.text import np_txt_reader
from bawsvis.plotting import PlotMap
if __name__ == "__main__":
s = Session()
lat = np_txt_reader('...N_FIX\\python_process_data\\lat_baws.txt')
lon = np_txt_reader('...N_FIX\\python_process_data\\lon_baws.txt')
# lat = np_txt_reader('E:\\Johannes_exjobb\\import_data\\lat_small.txt')
# lon = np_txt_reader('E:\\Johannes_exjobb\\import_data\\lon_small.txt')
# wd_data = 'E:\\Johannes_exjobb\\MODIS_data\\outdata\\monthly_seasonally_cummulative_and_FCA_data\\Cumulative\\annual\\Cumu_%s.txt'
# for year in range(2019, 2021):
# year = str(year)
#
# file = wd_data % year
# data = np_txt_reader(file)
#
# map_frame = {'lat_min': 52., 'lat_max': 66.,
# 'lon_min': 7., 'lon_max': 37.5}
# # aggregation is a numpy 2d-array
# aggregation = raster_aggregation(generator)
#
# # Export the aggragation in a tiff file.
# # WARNING! tiff files only handles integer data with values <=100.
# # The benefit of tiff-files are the super compressed format
# s.export_data(data=aggregation,
# file_name='aggregation_2020.tiff',
# writer='raster')
if __name__ == "__main__":
# Set path to data directory
data_path = 'C:\\Temp\\baws_reanalys\\tiff_archive'
# Create the Session object
s = Session(data_path=data_path)
# If we want to save data to a specific location, we set the export path here.
# s.setting.set_export_directory(path=None)
for year in range(2002, 2010):
year = str(year)
# Generate filepaths
generator = generate_filepaths(s.data_path,
pattern='cyano_daymap_' + year,
endswith='.tiff',
only_from_dir=True)
# Loop through the file-generator and aggregate the data.
# aggregation is a numpy 2d-array
aggregation = raster_aggregation(generator)
Created on 2020-09-18 10:26
@author: a002028
"""
from bawsvis.utils import generate_filepaths
from bawsvis.session import Session
from bawsvis.data_handler import aggregation_annuals
if __name__ == "__main__":
# Set path to data directory
data_path = 'C:\\Utveckling\\BAWS-vis\\bawsvis\\export'
# Create the Session object
s = Session(data_path=data_path)
# Generate filepaths
generator = generate_filepaths(s.data_path,
pattern='Cumu_',
endswith='.txt',
only_from_dir=True)
# Loop through the file-generator and aggregate the data.
# aggregation is a numpy 2d-array
aggregation = aggregation_annuals(generator, reader='text')
# Export the aggragation in a tiff file.
# WARNING! tiff files only handles integer data with values <=100.
# The benefit of tiff-files are the super compressed format
s.export_data(data=aggregation,
@author: a002028
"""
from bawsvis.utils import generate_filepaths
from bawsvis.session import Session
from bawsvis.readers.text import np_txt_reader
import numpy as np
import os
if __name__ == "__main__":
# Set path to data directory
data_path = '...N_FIX\\Result\\Cumu_annual_data'
# Create the Session object
s = Session(data_path=data_path)
generator = generate_filepaths(s.data_path,
pattern='Cumu_',
endswith='.txt',
only_from_dir=True)
# If we want to save data to a specific location, we set the export path here.
# s.setting.set_export_directory(path=None)
for fid in generator:
print(os.path.basename(fid))
array = np_txt_reader(fid)
array = np.where(array < 0, 0, array)
s.export_data(data=array,
"""
Created on 2020-08-31 13:07
@author: a002028
"""
from bawsvis.utils import generate_filepaths, recursive_dict_update
from bawsvis.session import Session
from bawsvis.data_handler import get_daily_stats, get_weekly_stats
if __name__ == "__main__":
# Set path to data directory
data_path = '...\\Manuell_algtolkning'
# Create the Session object
s = Session(data_path=data_path)
# If we want to save data to a specific location, we set the export path here.
# s.setting.set_export_directory(path=None)
# Generate filepaths (daily)
generator = generate_filepaths(s.setting.export_directory,
pattern='cyano_daymap_',
endswith='.shp',
only_from_dir=True)
# Loop through the file-generator and aggregate the data.
stats_daily = get_daily_stats(generator)
# Generate filepaths (weekly)
generator = generate_filepaths(s.data_path,
"""
Created on 2020-08-31 09:48
@author: a002028
"""
from bawsvis.utils import generate_filepaths
from bawsvis.session import Session
from bawsvis.data_handler import raster_aggregation
if __name__ == "__main__":
# Set path to data directory
data_path = 'E:\\Johannes_exjobb\\MODIS_data\\outdata\\attribute_data\\BAWS'
# Create the Session object
s = Session(data_path=data_path)
# If we want to save data to a specific location, we set the export path here.
# s.setting.set_export_directory(path=None)
for year in range(2019, 2021):
year = str(year)
# Generate filepaths
generator = generate_filepaths(s.data_path,
pattern='BAWS_' + year,
endswith='.txt',
only_from_dir=False)
# Loop through the file-generator and aggregate the data.
# aggregation is a numpy 2d-array
aggregation = raster_aggregation(generator, reader='text')
"""
Created on 2020-09-01 08:45
@author: a002028
"""
from bawsvis.utils import generate_filepaths
from bawsvis.session import Session
from bawsvis.data_handler import shapeify
if __name__ == "__main__":
# Set path to data directory
data_path = '...\\Manuell_algtolkning'
# Create the Session object
s = Session(data_path=data_path)
# If we want to save data to a specific location, we set the export path here.
# s.setting.set_export_directory(path=None)
# Generate filepaths
generator = generate_filepaths(s.data_path,
pattern='cyano_daymap_',
endswith='.tiff',
only_from_dir=True)
# Loop through the file-generator and shapeify raster data.
# for rst_path in generator:
# print(rst_path)
# shapeify(rst_path, export_path=s.setting.export_directory)