I am working with multiple plots in my dashboard, all have same time on x axis, same multiple traces (dates) and different values on yaxis.
I want to click on a chart legend and all other charts should do the same. I tried subplots, worked but colors are allways different and also some other issues. Any idea if this is possible without using subplots or a keyword that i have missed?
Thank you very much
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I have a complete matplotlib figure with multiple subplots and I want to add a vertical span in a specific range to all of the subplots. The remaining plot is then converted to plotly.
If I try running xvspan over each individual subplot when creating the matplotlib figure, the vertical spans do not make it into the plotly figure.
If I try converting the figure into plotly first and then adding a vrect, this vrect only seems to work for the first subplot. I have tried using row = "all" to no avail.
Any other ideas?
Thanks!
I've been trying to plot multiple figures in one cell in Python. The internet shows me only how to put multiple bars in one figure but I want to have multiple figures. Could not find out how to do it yet. This is the bar plot I have so far:
I wanna do the same for other columns and not only 'workclass'. So basically, the same plot. Any ideas how to do that? Thank you in advance!
So I have multiple figures each representing a scatter plot which changes with a slider that updates the plot according to the slider's value. Now I need to merge all those figures into one figure and have one general slider which will show all the plots overlapped. Is there a way in plotly to combine multiple figures (go.Figure() objects) so I can get my desired output?
if you share the x_axis between 2 plots, they will get aligned, as expected.
however, the axis is displayed only once, on a single plot and not on both anymore.
Is it possible to display the axis on each plot?
If you're using Plotly Express, there is no way to do this at the moment. If you're using the underlying make_subplots method, however, this is the default behaviour: https://plot.ly/python/subplots/
I'm using Bokeh's hbar_stack() method in order to make a stacked horizontal bar chart.
In Matthew Rocklin's post here, the very first chart plots how long tasks take on different worker cores. It plots "read-block" and "pandas_read_text."
I was wondering how you could get multiple bars of a phase (ex. "read-block") onto the same y-axis when using hbar_stack(). Any general advice behind how this chart is created would also be helpful.