artfornormies 0.0.5

For generating personal reminders as data visualizations (venn, bar, heatmap, scatter, etc)

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.object_graphs import Chart

afn = Chart(fig_width = 900, fig_height=800,night_mode = True, opacity_val=0.75,
                title_size=20, axis_label_size=20, tick_label_size=16, label_size=18, anno_size=10,
                label_charlen=9, anno_text= "Source: <i>https://github.com/jon-tk-chan</i><br><i>Instagram: @artfornormies</i>"
            )

afn.create_venn_2(text_labels=["Moving at a pace that is right for you right now", 
                              "Moving at a pace that appears much slower than your peers",
                              "More common than you think"],
                  main_title="")

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