Visualizations Showcase
StamiStudios Panels and Colours
In this notebook we're going to use PlotAPI Chord to visualise the co-occurrences between panels and colours purchased for the StamiStudios Everyday Ita Bag. We"ll use Python, but PlotAPI can be used from any programming language.
Preamble
import json
from plotapi import Chord
Introduction
In this notebook we're going to use PlotAPI Chord to visualise the co-occurrences between panels and colours purchased for the StamiStudios Everyday Ita Bag. We"ll use Python, but PlotAPI can be used from any programming language.
Dataset
We're going to use data from StamiStudios.com. Let"s get loading the data.
with open("stamistudios.json", "r") as f:
data = json.load(f)
Visualisation
Let's use PlotAPI Chord for this visualisation.
plot = Chord(
data["matrix"],
data["names"],
colors=data["colors"],
noun="percent",
details_separator="",
bipartite=True,
bipartite_idx=data["bipartite_idx"],
bipartite_size=0.2,
label_style="star"
)
Display inline
plot
Upload to cloud
With our plot created, let's upload it to PlotAPI cloud and get a shareable link.
plot.upload(
name="StamiStudios Panels and Colours",
description='''In this notebook we're going to use PlotAPI Chord to visualise the co-occurrences between panels and colours purchased for the StamiStudios Everyday Ita Bag. We"ll use Python, but PlotAPI can be used from any programming language.''',
public=True,
)