# Import the library
import datatlas as dat

# Print 'Hello Atlas!' to test if the package installation and import were successful
dat.say_hello('Atlas') 

# Generate an output df with detailed stats about the input df including warnings for data quality issues that might need to be addressed before model training
df_profile = dat.df_profiling(df) 

'''
df_profiling(df, nulls_threshold=50.0, zeroes_threshold=50.0, cardinality_threshold=50.0)
    Input(s):
        1) df: Dataframe to analyse
        2) nulls_threshold (int): Default is 50. Adds warning if >50% nulls detected
        3) zeroes_threshold (int): Default 50. Adds warning if >50% zeroes detected for numerical dtype columns
        4) cardinality_threshold (int): Default 50. Adds warning if >50% unique values for categorical dtype columns
    Output(s):
        1) Dataframe with statistics and data quality warnings about the input df
'''