sameh-stirling 0.0.3

A library for creating Dash interactive charts

sameh_stirling

The sameh_stirling module contains functions for creating interactive Dash charts.

Installation

pip install sameh-stirling

Usage

The module contains two chart functions:

stacked_bar

Creates an interactive stacked bar chart using Plotly Dash.

from sameh_stirling import stacked_bar
import pandas as pd

data = pd.DataFrame({
    "name": ["Ashley", "Ashley", "Ashley", "Patricia", "Patricia", "Patricia", "Betty", "Betty", "Betty", "Helen", "Helen", "Helen"],
    "year": [1920, 1960, 2000, 1920, 1960, 2000, 1920, 1960, 2000, 1920, 1960, 2000],
    "n": [2089, 17503, 17997, 6199, 47952, 7453, 22877, 11378, 880, 70621, 40471, 6909]
})

charts.stacked_bar(data, layout_kwargs={}, px_kwargs={})

• data (DataFrame): DataFrame containing the data
• layout_kwargs (dict): Keyword arguments passed to plotly.layout - optional
• px_kwargs (dict): Keyword arguments passed to plotly.express -optional

bubble_chart

Creates an interactive bubble chart using Plotly Dash.

from sameh_stirling import bubble_chart
import plotly.express as px
data = px.data.gapminder()

bubble_chart(data, layout_kwargs={}, px_kwargs={})

• data (DataFrame): DataFrame containing the data
• layout_kwargs (dict): Keyword arguments passed to plotly.layout - optional
• px_kwargs (dict): Keyword arguments passed to plotly.express -optional

Both functions return a Dash app that can be run with app.run_server().

The charts allow selecting dimensions, customizing the font, and passing keyword arguments to plotly.express and plotly.layout to customize the appearance.

See the source code for more details on usage and customization options.

Contributing

Contributions to add more charts are welcome! Please open an issue or PR.

License

MIT