Unlock 30% off on Manual Testing Annual Plans this Holiday Season.

Copied to Clipboard!

How to use _prepare_dataframe_input method in pandera

Best Python code snippet using pandera_python

checks.py

Source:checks.py

...289                self.groupby(df_or_series)[column],290                self.groups,291            )292        raise TypeError("Type %s not recognized for `groupby` argument.")293    def _prepare_dataframe_input(294        self, dataframe: pd.DataFrame295    ) -> DataFrameCheckObj:296        """Prepare input for DataFrameSchema check.297        :param dataframe: dataframe to validate.298        :returns: a DataFrame, or a dictionary mapping groups to pd.DataFrame299            to be used by `_check_fn` and `_vectorized_check`300        """301        if self.groupby is None:302            return dataframe303        groupby_obj = dataframe.groupby(self.groupby)304        return self._format_groupby_input(groupby_obj, self.groups)305    def __call__(306        self,307        df_or_series: Union[pd.DataFrame, pd.Series],308        column: Optional[str] = None,309    ) -> CheckResult:310        # pylint: disable=too-many-branches311        """Validate pandas DataFrame or Series.312        :param df_or_series: pandas DataFrame of Series to validate.313        :param column: for dataframe checks, apply the check function to this314            column.315        :returns: CheckResult tuple containing:316            ``check_output``: boolean scalar, ``Series`` or ``DataFrame``317            indicating which elements passed the check.318            ``check_passed``: boolean scalar that indicating whether the check319            passed overall.320            ``checked_object``: the checked object itself. Depending on the321            options provided to the ``Check``, this will be a pandas Series,322            DataFrame, or if the ``groupby`` option is specified, a323            ``Dict[str, Series]`` or ``Dict[str, DataFrame]`` where the keys324            are distinct groups.325            ``failure_cases``: subset of the check_object that failed.326        """327        # prepare check object328        if check_utils.is_field(df_or_series) or (329            column is not None and check_utils.is_table(df_or_series)330        ):331            check_obj = self._prepare_series_input(df_or_series, column)332        elif check_utils.is_table(df_or_series):333            check_obj = self._prepare_dataframe_input(df_or_series)334        else:335            raise ValueError(336                f"object of type {type(df_or_series)} not supported. Must be "337                "a Series, a dictionary of Series, or DataFrame"338            )339        # apply check function to check object340        check_fn = partial(self._check_fn, **self._check_kwargs)341        if self.element_wise:342            check_output = (343                check_obj.apply(check_fn, axis=1)  # type: ignore344                if check_utils.is_table(check_obj)345                else check_obj.map(check_fn)  # type: ignore346                if check_utils.is_field(check_obj)347                else check_fn(check_obj)...

hypotheses.py

Source:hypotheses.py

...152    ) -> SeriesCheckObj:153        """Prepare Series input for Hypothesis check."""154        self.groups = self.samples155        return super()._prepare_series_input(df_or_series, column)156    def _prepare_dataframe_input(157        self, dataframe: pd.DataFrame158    ) -> DataFrameCheckObj:159        """Prepare input for DataFrameSchema Hypothesis check."""160        if self.groupby is not None:161            raise errors.SchemaDefinitionError(162                "`groupby` cannot be used for DataFrameSchema checks, must "163                "be used in Column checks."164            )165        if self.is_one_sample_test:166            return dataframe[self.samples[0]]167        check_obj = [(sample, dataframe[sample]) for sample in self.samples]168        return self._format_groupby_input(check_obj, self.samples)169    def _relationships(self, relationship: Union[str, Callable]):170        """Impose a relationship on a supplied Test function....

Automation Testing Tutorials

Learn to execute automation testing from scratch with LambdaTest Learning Hub. Right from setting up the prerequisites to run your first automation test, to following best practices and diving deeper into advanced test scenarios. LambdaTest Learning Hubs compile a list of step-by-step guides to help you be proficient with different test automation frameworks i.e. Selenium, Cypress, TestNG etc.