def __init__()

in pydeequ/profiles.py [0:0]


    def __init__(self, spark_session: SparkSession, column, java_column_profile):
        super().__init__(spark_session, column, java_column_profile)
        self.all = {
            "completeness": self.completeness,
            "approximateNumDistinctValues": self.approximateNumDistinctValues,
            "dataType": self.dataType,
            "isDataTypeInferred": self.isDataTypeInferred,
            "typeCounts": self.typeCounts,
            "histogram": self.histogram,
        }