cleverinsight / cognito Goto Github PK

Write a method inside this Transform class which is present in cognito/process/__init__.py which should take a date string and return a dict with day, month, year attributes.

		>> Transform.split_date('2020-10-18')
		>> {'day': 18, 'month': 10, 'year': 2020 }

Write a method inside the Check class called is_datetime

    Usage:
    ======
        >> Check.is_datetime("2020-02-20 00:00:00")
        >> True
        >> Check.is_datetime("2020-02-01")
        >> False 

Write a method inside the Check class called is_date which takes a string as a parameter and return True if it' a Date.

    Usage:
    ======
        >> Check.is_date("20-20-2020")
        >> True
    """

• Open the csv file as dataframes - read_csv
• slice columns using list or tuple - slice
• binning - binning
• treat_outliers - fix_outlier
• impute_col - imputer
• treat_missing_values - fix_missing
• ignore_cardinality - ignore_cardinality
• encode column - encode_col
• encode list of columns - group_encode
• treat_date - date_extract
• log_transform - log_transform
• cat_group - cat_group
  _ num_group - num_group
  _ scaling - scaling

Implement auto search using any feasible Audio to Text API for making search more interactive in the cognito audit command.

We need a method that should be able to impute missing values in the given dataset after finishing basic data cleaning using cognito prepare. Once the imputation is completed the dataset should be able to download.

Write a method inside the Transform add method called numerical which maps a categorical variable with a numerical value integer.

	Usage:
	======
		>> T = Transform()
		>> T.numerical(['cat', 'rat', 'mice', 'mice', 'rat'])
		>> [
			'cat':  0,
			'rat':  1,
			'mice': 3 ]

Write a method to take pandas.core.series of dates as input and return pandas data frame with columns day, month, year of all observations.

>> Transform.split_dates([2020-10-02, 2019-10-01, 2020-11-11])
>> day, month, year
		    02     10   2020
		    01     10   2019
		    11     11   2020