# print('Imported successfully')
# import pandas as pd

# from IPython.core.display import HTML
# from IPython.display import display
# f = open('/files/CSSv2.css','r')
# HTML('<style>{}</style>'.format(f.read()))

# import numpy as np
# import matplotlib.pyplot as plt
# import matplotlib as mpl
# import seaborn as sns
# import scipy.stats as sts
# from IPython.display import display
# import_dict = {'pandas':'pd',
#                  'numpy':'np',
#                  'matplotlib':'mpl',
#                  'matplotlib.pyplot':'plt',
#                  'seaborn':'sns',
#                  'scip.stats.':'sts',
#                  }
# # index_range = list(range(1,len(import_dict)))
# df_imported= pd.DataFrame.from_dict(import_dict,orient='index', columns=['Module/Package Handle'])
# list_packages = df_imported.index
# df_imported.reset_index(inplace=True)
# df_imported.columns=['Imported Module/Package','Imported As']

# display(df_imported)

# function_list = ('list2df','df_drop_regex','viz_tree','performance_r2_mse','performance_roc_auc',
# 'performance_roc_auc','tune_params_trees','multiplot','plot_hist_scat_sns','detect_outliers','describe_outliers','Cohen_d',
# 'draw_violinplot','subplot_imshow','plot_wide_kde_thin_bar','confusion_matrix','scale_data')
# excluded='plot_pdf'
# function_series = pd.DataFrame(function_list,columns=['List of Available Functions'])
# # function_series.Name='Package_Functions'
# display(function_series)


   