I want to reproduce this graph in Python, but I don't know what the name of this graph is. Some keys features of this discrete graph are:
I did a reverse image google search, but to no available. Other similar questions here ask for names of other objects/features/graphs but not this particular graph.
If there is a named graph in Python, then I want to use it. If there is not, then I will create it and give it the common/well-known??? name.
The key feature that I find attractive in this graph is
For your curiosity, the data is carbon emissions produced by participants while they travel to/from a science conference in California, US, and is found in the supplementary materials of a recent article published in Nature 583, 356–359 (2020)
This is called a waterfall chart. The X-axis has variable bin sizes for indexes but their labels have been modified to only show the start of a bin as if its a continuous axis. You can use the width of each bar equal to the size of the bin on x axis. This will give you the rectangles you are looking for. I also see few line plots at specific x and y values for marking interesting parts of the graph at 26%, 61% etc.
You can use plotly to work on charts like these. Code for a sample chart -
import plotly.graph_objects as go
fig = go.Figure(go.Waterfall(
name = "20", orientation = "v",
measure = ["relative", "relative", "total", "relative", "relative", "total"],
x = ["Sales", "Consulting", "Net revenue", "Purchases", "Other expenses", "Profit before tax"],
textposition = "outside",
text = ["+60", "+80", "", "-40", "-20", "Total"],
y = [60, 80, 0, -40, -20, 0],
connector = {"line":{"color":"rgb(63, 63, 63)"}},
))
fig.update_layout(
title = "Profit and loss statement 2018",
showlegend = True
)
fig.show()
For visualizations like these, I would not really recommend python in the first place. Something like this is super easy to make in excel though.
The technical post webpages of this site follow the CC BY-SA 4.0 protocol. If you need to reprint, please indicate the site URL or the original address.Any question please contact:yoyou2525@163.com.