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,
}