Loading COMMON_VERSION +1 −1 Original line number Diff line number Diff line 0.3.3 0.3.4 src/common/mixins/pandas_mixin.py +7 −3 Original line number Diff line number Diff line Loading @@ -8,7 +8,7 @@ import sqlalchemy class PandasMixin: """Group together all pandas logic.""" def query_pandas(self, query=None, table=None, schema=None): def query_pandas(self, query=None, table=None, schema=None, log_df=False, log_query=False): """Return a query as a pandas table. Provided a query, uses the default cursor assumming a Loading @@ -17,6 +17,8 @@ class PandasMixin: :param query: a query string to return as a table :param table: the table name to retrieve data from :param schema: the schema to select the table from :param log_df: should the dataframe be logged? defaults to False :param log_query: should the query be logged? defaults to False :returns: a pandas.DataFframe object """ Loading @@ -37,12 +39,14 @@ class PandasMixin: if result is None: self.logger.error("Query returned: 'None' for query " f"'{query}'") else: self.logger.info(f"Query returned: '{result}' for query " f"'{query}'") if log_query: self.logger.debug(f"Query returned: '{result}' for query " f"'{query}'") columns = [i[0] for i in self.cursor.description] dataframe = pd.DataFrame.from_records(result, columns=columns) # dataframe.columns = result.keys() if log_df: self.logger.info(f"Fetched Dataframe: {dataframe}") return dataframe Loading Loading
src/common/mixins/pandas_mixin.py +7 −3 Original line number Diff line number Diff line Loading @@ -8,7 +8,7 @@ import sqlalchemy class PandasMixin: """Group together all pandas logic.""" def query_pandas(self, query=None, table=None, schema=None): def query_pandas(self, query=None, table=None, schema=None, log_df=False, log_query=False): """Return a query as a pandas table. Provided a query, uses the default cursor assumming a Loading @@ -17,6 +17,8 @@ class PandasMixin: :param query: a query string to return as a table :param table: the table name to retrieve data from :param schema: the schema to select the table from :param log_df: should the dataframe be logged? defaults to False :param log_query: should the query be logged? defaults to False :returns: a pandas.DataFframe object """ Loading @@ -37,12 +39,14 @@ class PandasMixin: if result is None: self.logger.error("Query returned: 'None' for query " f"'{query}'") else: self.logger.info(f"Query returned: '{result}' for query " f"'{query}'") if log_query: self.logger.debug(f"Query returned: '{result}' for query " f"'{query}'") columns = [i[0] for i in self.cursor.description] dataframe = pd.DataFrame.from_records(result, columns=columns) # dataframe.columns = result.keys() if log_df: self.logger.info(f"Fetched Dataframe: {dataframe}") return dataframe Loading