def return_assets_class(hidden, fund_types): # data=df data=get_df_data() if fund_types !='All': data = data[data['superfund_type']==fund_types].copy() options = dropdown_option_builder(data['asset_class'], True) return options
def return_names(hidden, fund_types, asset_class): # data=df data=get_df_data() if fund_types !='All': data = data[data['superfund_type']==fund_types].copy() if asset_class !='All': data = data[data['asset_class']==asset_class].copy() options = dropdown_option_builder(data['investment_name'], False) return options
def return_size_table(hidden, fund_types, asset_class, investment_name, fund_access, strategy, x_axis, y_axis, color): df = get_df_data() return graph_peer_universe(df, hidden, fund_types, asset_class, investment_name, fund_access, strategy, x_axis, y_axis, color)
def return_size_table(hidden, fund_types, asset_class, investment_name, fund_access, strategy): columns=objective_cols df=get_df_data() data=return_table(df, hidden, fund_types, asset_class, investment_name, fund_access, strategy) return data, columns
def return_performance_table(hidden, fund_types, asset_class, investment_name, fund_access, strategy): columns=performance_cols # data=df df=get_df_data() data=return_table(df, hidden, fund_types, asset_class, investment_name, fund_access, strategy) return data, columns
def return_fund_types(hidden): # data=df data=get_df_data() options = dropdown_option_builder(data['superfund_type'], True) return options