def get_data_follow(input_file) : global graph, set_terminal, set_non_terminal, first_table, root, follow_table graph, set_terminal, set_non_terminal, first_table, root = first.get_data(input_file) execute_external(input_file) return graph, set_terminal, set_non_terminal, first_table, follow_table, root
def get_data_follow(
input_file): # this is by follow to return data to other files
global graph, set_terminal, set_non_terminal, first_table, root, follow_table, serial_productions
graph, set_terminal, set_non_terminal, first_table, root, serial_productions = first.get_data(
input_file)
execute_external(input_file)
return graph, set_terminal, set_non_terminal, first_table, follow_table, root, serial_productions
def get_data(input_file):
global graph, set_terminal, set_non_terminal, first_table, root, serial_productions
graph, set_terminal, set_non_terminal, first_table, root, serial_productions = first.get_data(
input_file)
def get_data(input_file) : global graph, set_terminal, set_non_terminal, first_table, root graph, set_terminal, set_non_terminal, first_table, root = first.get_data()
mark_point=["max", "min"],
mark_line=["average"])
page.add(bar)
df3 = df2.sort_values(["分数差"], axis=0, ascending=[False])
attr = [x for x in df3.高考省份][:20]
v1 = [x for x in df3.分数差][:20]
bar2 = Bar("分数差计算统计")
bar2.add("分数差",
attr,
v1,
is_datazoom_show=True,
is_datazoom_extra_show=True,
mark_point=["max", "min"],
mark_line=["average"])
page.add(bar2)
print("render page to 12-24-bar.html")
# 生成 html 文件
page.render("12-24-bar.html")
df3.to_json("test.json")
df = get_data()
df2 = comput_data(df)
plot_data(df2)