make_shaded_area_query.py
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	import numpy as np
	import pandas as pd
	import xarray as xr
	import os
	import time
	from features import Training, Testing
	from sklearn.model_selection import train_test_split

	## ========== USER INPUT ===================

	target_path = "/Users/alinawalch/Documents/EPFL/data/rooftops" # folder in which "datasets" exists

	ROOFTOP_FILE = '/Users/alinawalch/Documents/EPFL/data/rooftops/GVA_select_area8_buf30_merged.csv'
	SHADE_2m_FILE = '/Users/alinawalch/Documents/EPFL/data/rooftops/shading_images/visibility/shading_vis_40_2m.csv'
	SHADE_50cm_FILE = '/Users/alinawalch/Documents/EPFL/data/rooftops/shading_images/visibility/shading_vis_40_50cm.csv'

	## ========== fill missing data ============
	# --> explored in fill_missing_data.ipynb

	## ======== create query from table ========

	new_query = Testing(target_path, modelname, query_name = 'test_roofs')

	new_query.make_query_from_table(query_table)
	new_query.normalize_input()