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How to use _set_column_names method in pandera

Best Python code snippet using pandera_python

db.py

Source:db.py

...213				self._process_insert(value, key)214			except sqlite3.IntegrityError, e:215				raise TypeError("A row with the given ID already exists. Either edit the existing one, or append a new row using append().")216	217	def _set_column_names(self, names):218		self._column_names = names219		220	def _retrieve_column_names(self):221		cur = self.db.query("SELECT * FROM %s WHERE 0" % self.table)  # Not SQLi-safe!222		self._set_column_names([x[0] for x in cur.description])223		224	def __getattr__(self, name):225		if name == "columns":226			try:227				return self._column_names228			except AttributeError, e:229				self._retrieve_column_names()230				return self._column_names231		else:232			raise AttributeError("No such attribute exists")233	234	def append(self, value):235		value._table = self.table236		return self._process_insert(value)237		238class DatabaseTable(Table):239	def __init__(self, database, table_name):240		Table.__init__(self, database, table_name)241		self._cache = {}242	243	def _process_insert(self, value, key=None):244		rowid = Table._process_insert(self, value, key)245		self._cache[rowid] = value246		return rowid247	248	def __getitem__(self, key):249		try:250			return self._cache[key]251		except KeyError, e:252			result = self.db.query("SELECT * FROM %s WHERE `Id` = ?" % self.table, params=(key,))253			self._set_column_names([x[0] for x in result.description])254			255			if result is None:256				raise KeyError("No row with that ID was found in the table.")257			else:258				row = result.fetchone()259				row._db = self.db260				row._table = self.table261				row._type = "database"262				self._cache[key] = row263				return row264				265	def __setitem__(self, key, value):266		self._try_set(key, value, self._cache)267		268	def purge(self):269		self._cache = {}270class MemoryTable(Table):271	def __init__(self, database, table_name):272		Table.__init__(self, database, table_name)273		self.data = {}274		self._retrieve_data()275		276	def _retrieve_data(self):277		result = self.db.query("SELECT * FROM %s" % self.table)  # Not SQLi-safe!278		self._set_column_names([x[0] for x in result.description])279		280		for row in result:281			row._db = self.db282			row._table = self.table283			row._type = "memory"284			self.data[row['Id']] = row285			286	def _process_insert(self, value, key=None):287		rowid = Table._process_insert(self, value, key)288		self.data[rowid] = value289		self.data[rowid]._db = self.db290		self.data[rowid]._table = self.table291		self.data[rowid]._type = "memory"292		return rowid...

data_structures.py

Source:data_structures.py

...42    column_names: List[str] = field(init=False)43    def __post_init__(self):44        self._same_size_columns()45        self.index = self._set_index()46        self.column_names = self._set_column_names()47        self._check_column_name_collision()48    def __dict__(self):49        return {col.name:col.values for col in self.columns}50    def _set_column_names(self) -> List[str]:51        return [col.name for col in self.columns]52    def _same_size_columns(self):53        lengths = [col.length for col in self.columns]54        if max(lengths) != min(lengths):55            raise ValueError("Column sizes are not the same.")56    def _set_index(self):57        return list(range(self.columns[0].length))58    def _check_column_name_collision(self):59        col_names = [col.name for col in self.columns]60        if len(set(col_names)) != len(col_names):61            raise ValueError(f"You cannot have repeated column names, this will create collisions")62    def get_row(self, index_value: int) -> Dict:63        return {col.name:col.values[index_value] for col in self.columns}64    def get_column(self, column_name: str) -> Column:...

google_drive.py

Source:google_drive.py

...37        return file_list38    else:39        raise ValueError("No files returned from server. Make sure, folder id is correct and folder is shared.")40@R.curry41def _set_column_names(df: pd.DataFrame) -> pd.DataFrame:...

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