bia-bob demo¶

stackview is compatible with bia-bob providing hints to bob how to use it. This might be relevant, e.g. if you aim to generate custom interactive widgets to explore your data.

In [1]:

import bia_bob

In [2]:

import seaborn as sns
import pandas as pd

# Load the penguin dataset
penguins_df = sns.load_dataset('penguins')

# Display the first few rows of the DataFrame
penguins_df.head()

Out[2]:

	species	island	bill_length_mm	bill_depth_mm	flipper_length_mm	body_mass_g	sex
0	Adelie	Torgersen	39.1	18.7	181.0	3750.0	Male
1	Adelie	Torgersen	39.5	17.4	186.0	3800.0	Female
2	Adelie	Torgersen	40.3	18.0	195.0	3250.0	Female
3	Adelie	Torgersen	NaN	NaN	NaN	NaN	NaN
4	Adelie	Torgersen	36.7	19.3	193.0	3450.0	Female

You can ask %bob to visualize data for you. In case stackview is installed and you mention a use-case for it, it may propose code like this:

In [3]:

%bob display the penguins_df in two connected scatterplots side-by-side.

This notebook may contain text, code and images generated by artificial intelligence. Used model: claude-3-5-sonnet-20240620, vision model: gpt-4o-2024-05-13, endpoint: None, bia-bob version: 0.19.0. It is good scientific practice to check the code and results it produces carefully. Read more about code generation using bia-bob.

I will create two connected scatterplots side-by-side using the penguins_df DataFrame, allowing for interactive selection between the plots.

In [4]:

import ipywidgets as widgets
from ipywidgets import HBox
import stackview

def update2(e=None):
    widget2.update()

def update1(e=None):
    widget1.update()

widget1 = stackview.scatterplot(df=penguins_df, column_x="bill_length_mm", column_y="bill_depth_mm", selection_changed_callback=update2)
widget2 = stackview.scatterplot(df=penguins_df, column_x="flipper_length_mm", column_y="body_mass_g", selection_changed_callback=update1)

display(HBox([widget1, widget2])) # Arrange the widgets side by side using HBox

HBox(children=(HBox(children=(VBox(children=(VBox(children=(HBox(children=(Label(value='Axes '), Dropdown(inde…

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