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