Join the 1-day Testing & QA Summit featuring 15+ Expert Speakers.Register for FREE! Join TestMu Conference

How to use _coerce_dtype method in pandera

Best Python code snippet using pandera_python

test_physt_histogram1d.py

Source:test_physt_histogram1d.py

...358        assert example.dtype == np.int32359        assert example.copy().dtype == np.int32360    def test_coerce(self):361        example = h1(values, dtype=np.int32)362        example._coerce_dtype(np.int64)363        assert example.dtype == np.int64364        example._coerce_dtype(np.float)365        assert example.dtype == np.float366        example._coerce_dtype(np.int32)367        assert example.dtype == np.float368    def test_update(self):369        example = h1(values)370        example.dtype = np.int16371        assert example.dtype == np.int16372        assert example.frequencies.dtype == np.int16373        example = h1(values, weights=[1, 2, 2.1, 3.2])374        with self.assertRaises(RuntimeError):375            example.dtype = np.int16376        example = h1(values, weights=[1, 2, 2, 3])377        example.dtype = np.int16378        assert example.dtype == np.int16379    def test_hist_arithmetic(self):380        example = h1(values, dtype=np.int32)...

FF_stats.py

Source:FF_stats.py

...28        self.na_lst = ['na','n/a','none','null','unk','nan']29        self.df = self.raw_df30        self.outfn = outfn31        self._clear_outfile()            32        self._coerce_dtype()33        34    def _clear_outfile(self):35        with open(self.outfn,'w') as self.outf:36            self.outf.write('*'*20+'   FracFocus raw stats   '+'*'*20+'\n')37    def _add_to_outfile(self,txt):38        with open(self.outfn,'a') as self.outf:39            self.outf.write(txt)40    def _get_filtered_raw(self):41        self.flags = pd.read_csv('./out/raw_filtered_guide.csv')42        return pd.merge(self.flags,self.raw_df,on='ingkey',how='left')43    def _coerce_dtype(self):44        """ some columns need to be coerced into their native data type - that45        is, pandas assigns them to the wrong type when importing the raw.  """46        bools = ['FederalWell','IndianWell','IngredientMSDS']47        for b in bools:48            self.df[b] = self.df[b].astype('bool')49        50    def _show_bool_col_stat(self):51        out = '{:>25}: {:>12} {:>12}\n'.format('Field Name','% not empty',52                                             '% True')53        out +='     --------------------------------------------------------------\n'54        cols = list(self.df.columns)55        tot = len(self.df)56        for col in cols:57            if self.df[col].dtype=='bool':...

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.