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Changing Pipe Colours

Made with Plotapi

You can create beautiful, interactive, and engaging visualisations like this one with Plotapi in any programming language.

Preamble

In [2]:
from plotapi import Terminus

Terminus.set_license("your username", "your license key")

Introduction

The pipe_color and pipe_opacity can be changed to improve the presentation of our Terminus diagram.

As we can see, we have set our license details in the preamble with Terminus.set_license().

Dataset

Terminus expects a list of dictionary items, these will define the flow of pixels between a source and a target.

In [3]:
links = [
    {"source":"England", "target":"Germany", "value": 1000},
    {"source":"England", "target":"France", "value": 3000},
    {"source":"England", "target":"Spain", "value": 5000},
    {"source":"England", "target":"Italy", "value": 4000},
    {"source":"England", "target":"Japan", "value": 800},

    
    {"source":"Ireland", "target":"Germany", "value": 3500},
    {"source":"Ireland", "target":"France", "value": 3750},
    {"source":"Ireland", "target":"Spain", "value": 1750},
    {"source":"Ireland", "target":"Italy", "value": 5000},
    {"source":"Ireland", "target":"Japan", "value": 400},
]

We can add many source's and target's! As they increase, we may need to adjust Terminus layout properties to accomodate the diagram's size and throughput.

Visualisation

The pipe_opacity must be a float between or equal to $0.0$ and $1.0$.

The pipe_color must be a colour expressed as a string, e.g. a HEX color code.

Let's try a few combinations.

Here we're using .show() which outputs to a Jupyter Notebook cell, however, we may want to output to an HTML file with .to_html() instead. More on the different output methods later!

In [35]:
Terminus(links, pipe_color="#FFFF00", pipe_opacity=0.1).show()
Plotapi - Terminus Diagram
In [36]:
Terminus(links, pipe_color="#000000", pipe_opacity=1).show_png()
In [40]:
Terminus(links, pipe_color="cyan", pipe_opacity=0.1).show_png()

You can do so much more than what's presented in this example, and this is covered in other sections. If you want to see the full list of growing features, check out the Plotapi API Documentation.

Made with Plotapi

You can create beautiful, interactive, and engaging visualisations like this one with Plotapi in any programming language.

Plotapi, beautiful by default.

Let plotapi do the heavy lifting – enabling beautiful interactive visualisations with a single line of code (instead of hundreds).

Get Plotapi