def split_dict():
phase_dict = StoreHelper.load_data("phase_dict.dat", {})
phase_dict_single = {}
phase_dict_double = {}
for key, value in phase_dict.items():
if '_' in key:
phase_dict_double[key] = value
else:
phase_dict_single[key] = value
StoreHelper.save_file(DictHelper.get_sorted_list(phase_dict_single), 'phase_dict_single.txt')
StoreHelper.save_file(DictHelper.get_sorted_list(phase_dict_double), 'phase_dict_double.txt')
def sorted_data_by_row(csv_columns, data_list, sort_data_row, escape_first):
# step 1, parameters check
if sort_data_row >= len(data_list):
print ("Sort row large than the data row!")
return
# step 2, construct data structure
new_csv_column = csv_columns[: escape_first]
new_data_list = [row[: escape_first] for row in data_list]
data_dict = {}
# For each column
for column in range(escape_first, len(csv_columns)):
# Get the column data for each rwo
data_column = [data_list[row][column] for row in range(len(data_list))]
key_for_sort = float(data_list[sort_data_row][column])
while key_for_sort in data_dict:
key_for_sort += random.randint(0, 100) * 0.000000001
data_dict[key_for_sort] = (csv_columns[column], data_column)
# step 3, sorted by key
sorted_list = DictHelper.get_sorted_list(data_dict, sorted_by_key=True)
print (sorted_list)
for key_for_sort, csv_data in sorted_list:
new_csv_column.append(csv_data[0])
for row in range(len(new_data_list)):
new_data_list[row].append(csv_data[1][row])
return new_csv_column, new_data_list
