Raised when an API not supported by the database is used. Raised for errors internal to the database, e.g. Raised whenever you use pymapd interface incorrectly. Raised when the relational integrity of the database is affected. Raised when the database encounters an error. Includes some helper methods for translating thriftĮxceptions to the ones defined here. Or an existing sessionid excluding user, password, and databaseĭefine exceptions as specified by the DB API 2.0 spec. You can either pass a string uri, all the individual components, idpsslverify: strĮnable / disable certificate checking, defaults to True. The HTML form ID for the password, defaults to ‘password’. The HTML form ID for the username, defaults to ‘username’. The logon page of the SAML Identity Provider. Path to the CA certificate file idpurl strĮXPERIMENTAL Enable SAML authentication by providing Whether to continue if there is any certificate error bin_ca_certs: str, optional, binary encrypted connection only Load data into a table Parameters table_name: str data: pyarrow.Table, pandas.DataFrame, or iterable of tuples method: sessionid: str bin_cert_validate: bool, optional, binary encrypted connection only get_tables () load_table ( table_name, data, method = 'infer', preserve_index = False, create = 'infer' ) ¶ the data cell at the row index 5 and the column index 2. The previous Python syntax has returned the value 22, i.e. iat attribute print( datacell1) Print extracted value 22. iat attribute as shown below: datacell1 data. PRECISION OF LIST AS ELEMENT OF PANDAS TABLE HOW TOThis example demonstrates how to get a certain pandas DataFrame cell using the row and column index locations. Structure can be used later to support changing column Example 1: Extract Cell Value by Index in pandas DataFrame. Should be keys of the dict, with each value being anotherĭict with a ‘name’ key holding the new table value. The name for the new dashboard source_remap: dictĪ dictionary remapping table names. The id of the dashboard to duplicate new_name: str GPU which contains TDataFrame duplicate_dashboard ( dashboard_id, new_name = None, source_remap = None ) ¶ĭuplicate an existing dashboard, returning the new dashboard id. GPU which contains TDataFrame deallocate_ipc_gpu ( df, device_id = 0 ) ¶ĭeallocate a DataFrame using GPU memory. deallocate_ipc ( df, device_id = 0 ) ¶ĭeallocate a DataFrame using CPU shared memory. Whether to create a column in the table for the DataFrame index cursor ( ) ¶Ĭreate a new Cursor object attached to this connection. create_table ( table_name, data, preserve_index = False ) ¶Ĭreate a table from a pandas.DataFrame Parameters table_name: str data: DataFrame preserve_index: bool, default False Implemented to comply with the DBI specification. This is a noop, as OmniSci does not provide transactions. close ( ) ¶ĭisconnect from the database unless created with sessionid commit ( ) ¶ PRECISION OF LIST AS ELEMENT OF PANDAS TABLE PASSWORDConnection ( uri = None, user = None, password = None, host = None, port = 6274, dbname = None, protocol = 'binary', sessionid = None, bin_cert_validate = None, bin_ca_certs = None, idpurl = None, idpformusernamefield = 'username', idpformpasswordfield = 'password', idpsslverify = True ) ¶Ĭonnect to your OmniSci database.
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