def write_all_unique_key_value_cnt(q: DatasetQuery):
analysis_path = "./analysis/"
# Export csv of every value
for i in range(1, 6):
cnt = q.get_all_unique_key_value_attrs(i)
# Convert from cnt to 2d list
# cnt: Dict[Counter]
# or Dict[Dict[int]]: attrs_key, attr_value(key), count
rows = []
for key, attr_obs in cnt.items():
for attr, count in attr_obs.items():
rows.append([key, attr, count])
name = analysis_path + "unique_attr_key_val_cnt" + str(i) + ".csv"
DatasetQuery.export_csv(rows, name)
def write_all_data(q: DatasetQuery):
# Write data analysis every unique attrs
p = "./analysis/"
for i in range(1, 6):
dd = q.get_all_unique_key_attributes(i)
name = p + "Unique_attrs_cat" + str(i) + ".txt"
DatasetQuery.export_txt(dd, name)
p = "./analysis/"
for i in range(1, 6):
dd = q.get_all_unique_key_attributes(i)
name = p + "unique_attr_cnt" + str(i) + ".csv"
# DatasetQuery.export_txt(dd, name)
DatasetQuery.export_csv(dd.items(), name)