What is wrong with my code? I like the fig_px “simplicity”, but I need to use subplots. import math import pandas as pd import plotly.express as px from plotly.subplots import make_subplots def main(): df = pd.read_csv("data.csv") cola = "Date" colb = "Task" fig_px = px.bar( …

Try setting the barmode to relative fig.update_layout( barmode="relative", yaxis1={"title": "title"}, yaxis2={"title": "title"}, margin={"l": 0, "r": 0, "t": 32, "b": 0}, legend={ "title": "title", "tracegroupgap": 0, "…

Search terms: make_subplots with plotly.express plots Sounds like Combining ready-made figures into one, with separation by color - #10 by hoatran , but I want to use one graph; not a div/dcc combination

Could you add more information what exaclty is not working? I see two bar charts if using your code+data

The result plot (fig) looks like this [image] Note e.g. the 149,2028-02-09,Overallocation,0.0,164.1333333333 trace; the xmax is 50. Removing (or isolating) Overallocation renders as expected. Also fig_px renders correctly.

I still don’t understand the issue. Keep in mind, that we do not know anything about your data and how you want the graphs to look like. From coding perspective, there is nothing wrong with the snippet you posted. Keep in mind that by using px.bar() you create a figure object, i.e the layout is in…

Did you run the script locally? the script displays two plots … I am expecting that they look the same :confused: Keep in mind that by using px.bar() you create a figure object, i.e the layout is included there. I … can see that I am doing something “out of the ordinary”. I cannot see how diff…

Ooohhh, yes - that’s was it. Thank you. Is there anything / any plans to make such a use-case more easy-to-work with? barmode="relative", vs barmode="stack", (and the for trace in fig_px.data hack) do feel like “plotly-esoteric” to be messed with :confused:

[image] stdedos: Is there anything / any plans to make such a use-case more easy-to-work with? Not sure what you are referring to. But it’s actually not an use case, really IMHO. I use plotly.express if the figures I’m after are output of the corresponding functions. If I want to create some…

Disclaimer: My experience with Plotly is limited to amateur-level usage. I find myself somewhat perplexed by your statemen ttoo :confused: The documentation for Plotly to me, often lacks detail and clarity. The IDE integration (type-checking, documentation hints, etc) can be inconsistent. One rou…

[image] stdedos: From what I understand, go.Bar requires a go.Figure to render, something like go.Figure(go.Bar(..)), right? yes [image] stdedos: The documentation for Plotly to me, often lacks detail and clarity. The IDE integration (type-checking, documentation hints, etc) can be incon…

[image] AIMPED: Maybe. In your case (or at least the code you provided here) I can’t see the necessity to use make_subplots. plotly.express has some functionality concerning subplots, namely the parameters facet_col or facet_row. Obviously, the Mn-WE was shortened (and anonymized) to fit the …

Fig_px "works", but fig is broken

📊 Plotly Python

stdedos December 20, 2023, 11:40am 13

Seems I’m not the first to try

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Fig_px "works", but fig is broken

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