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genai's Introduction

Install | License | Code of Conduct | Contributing

GenAI: 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 genai

Genai In Action

Genai making a suggestion followed by running suggested code

Introduction

We'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. 🦾🌏

Requirements

Python 3.8+

Installation

Poetry

poetry add genai

Pip

pip install genai

Loading the IPython extension

Make sure to set the OPENAI_API_KEY environment variable first before using it in IPython or your preferred notebook platform of choice.

%load_ext genai

Features

  • %%assist magic command to generate code from natural language
  • Custom exception suggestions

Custom Exception Suggestions

In [1]: %load_ext genai

In [2]: import pandas as pd

In [3]: df = pd.DataFrame(dict(col1=['a', 'b', 'c']), index=['first', 'second', 'third'])

In [4]: df.sort_values()
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
Cell In[4], line 1
----> 1 df.sort_values()

File ~/.pyenv/versions/3.9.9/lib/python3.9/site-packages/pandas/util/_decorators.py:331, in deprecate_nonkeyword_arguments.<locals>.decorate.<locals>.wrapper(*args, **kwargs)
    325 if len(args) > num_allow_args:
    326     warnings.warn(
    327         msg.format(arguments=_format_argument_list(allow_args)),
    328         FutureWarning,
    329         stacklevel=find_stack_level(),
    330     )
--> 331 return func(*args, **kwargs)

TypeError: sort_values() missing 1 required positional argument: 'by'

πŸ’‘ Suggestion

The error message is indicating that the sort_values() method of a pandas dataframe is missing a required positional argument.

The sort_values() method requires you to pass a column name or list of column names as the by argument. This is used to determine how the sorting will be performed.

Here's an example:

import pandas as pd

df = 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, the by argument 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.

Example

In [1]: %load_ext genai

In [2]: %%assist
   ...:
   ...: Can you explain this query to me so I can be sure we're doing the right things?
   ...:
   ...: ```sql
   ...: SELECT
   ...:   COUNT(*) AS num_downloads,
   ...:   DATE_TRUNC(DATE(timestamp), DAY) AS day
   ...: FROM `bigquery-public-data.pypi.file_downloads`
   ...: WHERE
   ...:   file.project = 'genai'
   ...:   -- Only query the last 6 months of history
   ...:   AND DATE(timestamp)
   ...:     BETWEEN DATE_TRUNC(DATE_SUB(CURRENT_DATE(), INTERVAL 6 MONTH), MONTH)
   ...:     AND CURRENT_DATE()
   ...: GROUP BY day
   ...: ORDER BY day DESC
"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."

genai's People

Contributors

rgbkrk avatar mseal avatar willingc avatar shouples avatar pierrebrunelle avatar sauravmaheshkar avatar dependabot[bot] avatar

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