Plotly offers you two methods of drawing charts: Graph Objects and Plotly Categorical. The primary is a set of low-level features that present most flexibility for creating charts, whereas Plotly Categorical offers us a set of easy-to-use strategies that implement probably the most generally used charts.
Plotly Categorical features are primarily wrappers round Plotly Graph Objects.
However there isn’t 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 most typical use case and in addition has the pliability to handle extra advanced utilization.
Waterfall charts
Waterfall charts are a bit like bar charts which have been cut up over various columns. They’re typically used to point out the rise and reduce of a worth over time. For instance, take the next information.
labels = ["Start balance", "Consulting", "Net revenue",
"Purchases", "Other expenses", "Profit before tax"]
information = [20, 80, 10, -40, -20, 0 ]
The labels signify quantities of money in numerous classes which have both been acquired or spent and the information are the precise quantities (in {dollars}, a whole bunch of {dollars}, hundreds… no matter).
We are able to usefully signify this information as a waterfall chart the place the primary column is the start line, the final column is the endpoint and the columns in between present the money circulation that resulted within the ultimate sum.
Usually, a waterfall chart distinguishes constructive and adverse quantities by color — on this case, inexperienced for constructive and purple for adverse. The ultimate column is given a 3rd color as this represents the ultimate end result slightly than a constructive or adverse change.
This can be a typical use case though extra advanced charts are potential.
