def get_industry_name(code):
if not str(code).isdigit():
return None
stock_industry_code_map = Loader.stock_industry_code()
industry_codes = Loader.industry_code()
df = stock_industry_code_map[stock_industry_code_map["code"] == int(code)]
if len(df) == 0:
return None
industry_code = df["industry_code"].iloc[0]
df = industry_codes[industry_codes["industry_code"] == industry_code]
if len(df) == 0:
return None
name = df["name"].iloc[0]
return name
import pandas
from dash.dependencies import Input, Output
import dash_core_components as dcc
import dash_html_components as html
import plotly
from plotly import tools
from plotly import figure_factory as FF
import dash_utils
sys.path.append("lib")
import utils
from loader import Loader
app = dash_utils.create_app()
industry_code = Loader.industry_code().sort_values("industry_code")
options = [
{
"label": "日経平均",
"value": "index/nikkei"
},
{
"label": "ダウ平均",
"value": "index/dow"
},
{
"label": "ナスダック",
"value": "index/nasdaq"
},
{
"label": "TOPIX",
