Overview

Data visualization package built on Python Plotly. Use Artfornormies to create personal reminder graphs as shown on the Artfornormies Instagram.

Purpose: to develop data visualization style that aid in personal writing and self reflection topics. Intended audience for visuals include:

• artists and creatives who struggle with perfectionism and minimization of own work
• 20-30 somethings that struggle with social media comparison and quarterlife decision-making
• younger self

Inspired by the work of Instagram content creators: @mattsurelee , @wetheurban, @lizandmollie

Installation

Install using pip:

pip install artfornormies

Usage

Generate a visual using one of the listed functions:

from artfornormies import functions as art

fig = art.create_venn_2(
    venn_labels=["What feels like a waste of time",
                "What you'll regret not doing in 10 years",
                "That personal project that makes you feel like yourself"
                ],
    main_title="",
    fill_venn=True,
    night_mode=True
)

fig.write_image("images/ex_plot.png")

Dependencies

Ensure that Python Plotly is installed on your current Python Environment.

Documentation

Plot type	Function name	Purpose	Data parameters	layout parameters
Scatter plot	create_scatter()	Compare categorical datapoints using 2 continuous numerical axes. Use to show major differences in one dimension while highlighting relatively similar values in another dimension. ex: Comparing what you post about vs what you spend your time on	x_vals: list of floats, y_vals: list of floats, text_vals: list of str, main_title: str, x_title: str, y_title: str, anno_text: str,	color_by_y: boolean, main_colorscale: predefined colorcale variables(list of 2 item lists in [float, str]), night_mode: boolean, label_size: int, label_charlen: int
Venn Diagram	create_venn_2()	Highlight shared quality between 2 categorical data points. Use for highlighting similarities between 2 seemingly contradictory datapoints. ex: the things you say about yourself vs the things you would never say to a loved one	venn_labels: list of 3 str (format: [left_text, right_text, intersection]) main_title: str, anno_text: str,	fill_venn: boolean, left_color: str, right_color: str, night_mode: boolean
Bar Chart	create_bar()	Compare categorical data points using 1 continuous numerical axis. Use for showing differences in the numerical value of multiple categories. ex: the types of job application responses (or lack thereof) and how attention you pay to them when evaluating self-worth	y_vals: list of floats, text_vals: list of str, main_title: str, x_title: str, y_title: str, anno_text: str,	bar_color: str, night_mode: boolean, label_size: int, label_charlen: int
Heatmap	create_heatmap()	Compare categorial datapoints using 2 bivariate dimensions. Use for 2x2 pairwise comparison of multiple datapoints. ex: identifying the labels you assign online peers based on whether you like/dislike them and if you are younger/older than them	x_ticks: list of 2 str, y_ticks: list of 2 str, text_labels: list of 2 lists of 2 str in format: [[bottom_left, bottom_right],[top_left,top_right]], main_title: str, x_title: str, y_title: str, anno_text: str,	main_color=str, night_mode=true

References

Artfornormies was built on top of Plotly visualization libaray: Plotly - Python Documentation