def getSuccessMetricsAsDataFrame()

in pydeequ/repository.py [0:0]

• 8 lines of code
• 3 McCabe index (conditional complexity)

    def getSuccessMetricsAsDataFrame(self, withTags: list = None, pandas: bool = False):
        """
        Get the AnalysisResult as DataFrame
        :param withTags: List of tags to filter previous Metrics Repository runs with
        """
        self._check_RepositoryLoader()
        if not withTags:
            withTags = getattr(self.repository.load(), "getSuccessMetricsAsDataFrame$default$2")()  # empty sequence
        else:
            withTags = to_scala_seq(self._jvm, withTags)
        success = self.RepositoryLoader.getSuccessMetricsAsDataFrame(self._jspark_session, withTags)
        return DataFrame(success, self._spark_session).toPandas() if pandas else DataFrame(success, self._spark_session)