def empiric_cdf_graph(data_list, names=just_names):
"""
Prints the graph of the empirical cdf of the data in data_list.
"""
if type(data_list) is not list:
raise NotAListError()
for_print = []
for element in data_list:
for_print.append(empirical_cdf(element, data_list))
functions.print_graph_discrete(for_print, True, True, True, names)
def test_for_all_cases(self):
list_1 = [2, 6, -3, 7, 3]
list_2 = [-6, 3, 3, 6, -1]
list_3 = []
for i in range(60):
list_3.append(i)
functions.print_graph_discrete(list_1)
functions.print_graph_discrete(list_1, False, False)
names = ["test_name.svg", "test_title", ["test_name_1", "test_name_2"]]
functions.print_graph_discrete([list_1, list_2], True, True,
True, names)
functions.print_graph_discrete(list_3)
bad_names = [[34], 32]
with self.assertRaises(functions.NamingError):
functions.print_graph_discrete(list_1, True, True, True, bad_names)
with self.assertRaises(functions.NamingError):
functions.print_graph_discrete(list_1, True, True, True, [4])
