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Version 1.0.4

This minor release has some significant feature additions with other changes. Some salient ones are listed below:

QueryProfiler

  • Now there is a new parameter use_temp_relation which allows users to display the temporary relations separately in the get_qplan_tree.

  • Query start and stop time are also included in the get_queries table.

  • New queries can be added to the same schema and key using the insert function.

qprof = QueryProfiler((109090909, 1))
qprof.insert(transactions = (41823718, 2))

QueryProfilerInterface

  • Made the metric selecting widgets in the QueryProfilerInterface to be more intuitive.

  • A new widget allows to directly jump to the specific query without having to press Next button multiple times.

  • A success flag is added to the display to confirm if the query was run successfully.

  • Added unit for the query execution time.

Machine Learning

  • Added Vector Auto Regression (VAR) to the list of Vertica algorithms.

vDataFrame

  • The Up and Down arrow of the vDataFrame.idisplay() are now larger in size.

Bugfixes

  • Bugfix for auto-token refresh using OAuth.

  • Empty vDataFrame can now be created.

import pandas as pd
from verticapy import read_pandas

df = pd.DataFrame()
df = df.reindex(columns = ["col1", "col2"])
read_pandas(df)

  • Some unit tests were modified to make them consistent with the test environment.