def main():
while True:
TextUtils.print_menu(constant.MENU_SELECT_DATA_SET)
selection = ExceptionUtils.select_int(
constant.MENU_SELECT_DATA_SET_INPUT, 1, 3)
if selection == 1:
print(f"Opening CSV {constant.DEFAULT_DATA_SET_FILE}")
data_frame = create_data_frame(
constant.DEFAULT_DATA_SET_FILE, ",",
constant.DEFAULT_DATA_SET_DATA_TYPES)
if data_frame:
use_data_frame(data_frame)
elif selection == 2:
path = input(constant.ENTER_PATH)
delimiter = input(constant.ENTER_DELIMITER)
print(f"Opening CSV {path}")
data_frame = create_data_frame(path, delimiter, [])
if data_frame:
use_data_frame(data_frame)
elif selection == 3:
break
def use_data_frame(data_frame):
while True:
TextUtils.print_menu(constant.MENU_USE_DATA_SET)
selection = ExceptionUtils.select_int(constant.MENU_USE_DATA_SET_INPUT,
1, 11)
if selection == 1:
TextUtils.print_dict(data_frame.data)
elif selection == 2:
data_frame.print_headings_with_type()
elif selection == 3:
data_frame.print_headings_with_type()
column = get_valid_axis(constant.GET_COLUMN, data_frame)
data_frame.print_deviation_calculations(column)
elif selection == 4:
data_frame.print_headings_with_type()
column = get_valid_axis(constant.GET_COLUMN, data_frame)
data_frame.plot_normal_distribution(column)
elif selection == 5:
data_frame.print_headings_with_type()
column = get_valid_axis(constant.GET_COLUMN, data_frame)
date = datetime.now().strftime(constant.DATE_FOTMAT)
data_frame.export_normal_distribution(column, date)
elif selection == 6:
data_frame.export_all_normal_distribution()
elif selection == 7:
run_regression(data_frame)
data_frame.print_linear_regression_output()
elif selection == 8:
run_regression(data_frame)
date = datetime.now().strftime(constant.DATE_FOTMAT)
data_frame.export_linear_regression_output(date)
elif selection == 9:
run_regression(data_frame)
data_frame.plot_linear_regression_output()
elif selection == 10:
data_frame.export_linear_regression_output_all()
elif selection == 11:
break