Package: genai
Install|License|Code of Conduct|ContributingGenAI: generative AI tooling for IPython🦾 Get GPT help with code, SQL queries, DataFrames, Exceptions and more in IPython.🌍 Supports all Jupyter environments, including IPython, JupyterLab, Jupyter Notebook, and Noteable.TL;DR Get started now%pip install genai
%load_ext genaiGenai In ActionBlog PostExample NotebookIntroductionWe've taken the context from IPython, mixed it with OpenAI's Large Language Models, and are bringing you a more informed notebook experience that works in all Jupyter environments, including IPython, JupyterLab, Jupyter Notebook, and Noteable. 🦾🌏RequirementsPython 3.8+InstallationPoetrypoetryaddgenaiPippipinstallgenaiLoading the IPython extensionMake sure to set theOPENAI_API_KEYenvironment variable first before using it in IPython or yourpreferred notebook platform of choice.%load_ext genaiFeatures%%assistmagic command to generate code from natural languageCustom exception suggestionsCustom Exception SuggestionsIn[1]:%load_extgenaiIn[2]:importpandasaspdIn[3]:df=pd.DataFrame(dict(col1=['a','b','c']),index=['first','second','third'])In[4]:df.sort_values()---------------------------------------------------------------------------TypeErrorTraceback(mostrecentcalllast)CellIn[4],line1---->1df.sort_values()File~/.pyenv/versions/3.9.9/lib/python3.9/site-packages/pandas/util/_decorators.py:331,indeprecate_nonkeyword_arguments.<locals>.decorate.<locals>.wrapper(*args,**kwargs)325iflen(args)>num_allow_args:326warnings.warn(327msg.format(arguments=_format_argument_list(allow_args)),328FutureWarning,329stacklevel=find_stack_level(),330)-->331returnfunc(*args,**kwargs)TypeError:sort_values()missing1requiredpositionalargument:'by'💡 SuggestionThe error message is indicating that thesort_values()method of a pandas dataframe is missing a required positional argument.Thesort_values()method requires you to pass a column name or list of column names as thebyargument. This is used to determine how the sorting will be performed.Here's an example:importpandasaspddf=pd.DataFrame({'Name':['Alice','Bob','Carol','David','Eva'],'Age':[32,24,28,35,29],'Salary':[60000,40000,35000,80000,45000]})# sort by Age column:df_sorted=df.sort_values(by='Age')print(df_sorted)In this example, thebyargument is set to'Age', which sorts the dataframe by age in ascending order. Note that you can also pass a list of column names if you want to sort by multiple columns.ExampleIn[1]:%load_extgenaiIn[2]:%%assist...:...:CanyouexplainthisquerytomesoIcanbesurewe're doing the right things?...:...:```sql...:SELECT...:COUNT(*)ASnum_downloads,...:DATE_TRUNC(DATE(timestamp),DAY)ASday...:FROM`bigquery-public-data.pypi.file_downloads`...:WHERE...:file.project='genai'...:--Onlyquerythelast6monthsofhistory...:ANDDATE(timestamp)...:BETWEENDATE_TRUNC(DATE_SUB(CURRENT_DATE(),INTERVAL6MONTH),MONTH)...:ANDCURRENT_DATE()...:GROUPBYday...:ORDERBYdayDESC"This is a SQL query that counts the number of downloads for the 'genai' project on the Python Package Index (PyPI) over the last 6 months, grouped by day. The query selects the count and the date, truncating the date to the day level so that it's easier to read.

Here is a breakdown of each part of the query:-`SELECT COUNT(*) AS num_downloads, DATE_TRUNC(DATE(timestamp), DAY) AS day`: This selects the count of the number of rows matched by the query as`num_downloads`, and the date truncated to the day level as`day`.-`FROM `bigquery-public-data.pypi.file_downloads``: This specifies the table to query from.-`WHERE file.project = 'genai'`: This filters the rows by only including downloads for the 'genai' project.-`AND DATE(timestamp) BETWEEN DATE_TRUNC(DATE_SUB(CURRENT_DATE(), INTERVAL 6 MONTH), MONTH) AND CURRENT_DATE()`: This filters the rows by only including downloads from the last 6 months. The`DATE_SUB`function subtracts 6 months from the current date (`CURRENT_DATE()`),`DATE_TRUNC`truncates the result to be the start of the month and`DATE`converts the timestamp column to a date so the`BETWEEN`condition can filter rows between the start of 6 months ago and "today."-`GROUP BY day`: This groups the rows by day so that the counts are aggregated by date.-`ORDER BY day DESC`: This orders the rows so that the most recent date appears first in the result."