Plotly provides you two methods of drawing charts: Graph Objects and Plotly Categorical. The primary is a set of low-level capabilities that present most flexibility for creating charts, whereas Plotly Categorical provides us a set of easy-to-use strategies that implement probably the most generally used charts.
Plotly Categorical capabilities are basically wrappers round Plotly Graph Objects.
However there is no such thing as a Waterfall Chart methodology in Plotly Categorical, so we’re going to current a waterfall chart operate that’s easy to make use of for what might be the commonest use case and in addition has the flexibleness to handle extra advanced utilization.
Waterfall charts
Waterfall charts are a bit like bar charts which have been cut up over numerous columns. They’re typically used to indicate the rise and reduce of a worth over time. For instance, take the next knowledge.
labels = ["Start balance", "Consulting", "Net revenue",
"Purchases", "Other expenses", "Profit before tax"]
knowledge = [20, 80, 10, -40, -20, 0 ]
The labels symbolize quantities of money in numerous classes which have both been acquired or spent and the info are the precise quantities (in {dollars}, lots of of {dollars}, 1000’s… no matter).
We will usefully symbolize this knowledge as a waterfall chart the place the primary column is the place to begin, the final column is the endpoint and the columns in between present the money circulation that resulted within the ultimate sum.
Sometimes, a waterfall chart distinguishes constructive and unfavourable quantities by color — on this case, inexperienced for constructive and purple for unfavourable. The ultimate column is given a 3rd color as this represents the ultimate outcome relatively than a constructive or unfavourable change.
This can be a typical use case though extra advanced charts are potential.
