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
1 maintainer
Metadata
1 maintainer
Release files for artfornormies 0.0.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| artfornormies-0.0.5.tar.gz | 11.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| artfornormies-0.0.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 24.6 kB
Release files / artfornormies-0.0.5.tar.gz
| Download URL | artfornormies-0.0.5.tar.gz |
|---|---|
| Size | 11.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
2aea1699f73065423a81b08f394c969b444f0dfc2463d546b5861e63b681fb1b
|
|
BLAKE2b-256 checksum How to use checksums |
83aa5f61a5a35bd67ea2598c725c41b79b50d1effbc98d5b8cd5a3261dc99809
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.11.7
|
Release files / artfornormies-0.0.5-py3-none-any.whl
| Download URL | artfornormies-0.0.5-py3-none-any.whl |
|---|---|
| Size | 12.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
a1b786b1fe3422e4dd95f4099fa95caf47b84e5091d9a0caabf056fea7935873
|
|
BLAKE2b-256 checksum How to use checksums |
3d1e932b7f5db34868c6cb78348a0695920264f0480f5508dcba900b371ac2fd
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.11.7
|
