def update_desc(the_location, the_benchmark, clicks):
if clicks % 2 == 0:
if not all((the_benchmark, the_location)):
the_benchmark = bench_start
the_location = location_start
desc = describe(ticker_start, bench_start, the_location,
the_benchmark, False)
else:
desc = describe(ticker_start, bench_start, the_location,
the_benchmark, False)
else:
desc = describe(ticker_start, bench_start, the_location, the_benchmark,
True)
return desc
def dadr(diffy):
diffy = json.loads(diffy)
dict_items = global_store(diffy["the_location"], diffy["the_benchmark"],
diffy["clicks"])
desc = describe(dict_items["Company"], dict_items["Benchmark"])
return desc
'value': i
} for r, i in zip(all_benchmark_small_names, all_benchmark_codes)]
s_metrics_df_output = ext_info_dict[
diffy["first_option_target_code"]]["Stakeholder Metrics"]
s_metrics_df_1_output = ext_info_dict[
diffy["first_option_target_code"]]["Stakeholder Metrics"]
c_metrics_df_output = ext_info_dict[
diffy["first_option_target_code"]]["Company Metrics"]
dict_info_output = ext_info_dict[
diffy["first_option_target_code"]]["Stakeholder Description"]
c_metrics_df_output_1 = ext_info_dict[
diffy["first_option_target_code"]]["Company Metrics"]
stock_plot_desc_output, _ = describe(diffy["first_option_target_code"],
diffy["first_option_bench_code"])
title_output = str(diffy["first_option_target_long_name"]) + " 4-D Report"
location_output = str(diffy["target_location_address"]) + " Location"
profile_output = str(
diffy["first_option_target_location_small_name"]) + " Profile"
df_perf_summary_output = fm.fin_met(diffy["first_option_bench_code"],
diffy["first_option_target_code"])
first_dict = {}
#first_dict[""]
first_dict[
"target_location_small_drop_down_options"] = target_location_small_drop_down_options
first_dict["bench_code_drop_down_options"] = bench_code_drop_down_options
def dadr(diffy):
diffy = json.loads(diffy)
desc = describe(diffy["code_start"], diffy["the_benchmark"])
return desc
c_metrics_df_output = dict_all_coll[diffy["code_start"]]["Company Metrics"]
c_metrics_df_output_1 = dict_all_coll[diffy["code_start"]]["Company Metrics"]
df_fund_info_output = pd.read_csv('https://plot.ly/~jackp/17544/.csv')
df_fund_characteristics_output = pd.read_csv(
'https://plot.ly/~jackp/17542/.csv')
df_fund_facts_output = pd.read_csv('https://plot.ly/~jackp/17540/.csv')
##df_bond_allocation = pd.read_csv('https://plot.ly/~jackp/17538/')
##df_bond_allocation_output = make_dash_table(df_bond_allocation)
desc = describe(diffy["code_start"], diffy["the_benchmark"])
stock_plot_desc_output = desc
title = str(diffy["code_start_small"]) + " 4-D Report"
title_output = title
title = str(diffy["long_addy"]) + " Location"
location_output = title
title = str(diffy["the_location"]) + " Profile"
profile_output = title
df_perf_summary_output = fm.fin_met(diffy["the_benchmark"],
diffy["code_start"])